diff --git a/README.md b/README.md index c29099b..ebd8488 100644 --- a/README.md +++ b/README.md @@ -127,7 +127,9 @@ If you want to run local speech-to-text using Whisper, you must install Rust. Fo ## Customizations -To customize the behavior of the system, edit the [system message, model, skills library path,](https://docs.openinterpreter.com/settings/all-settings) etc. in `i.py`. This file sets up an interpreter, and is powered by Open Interpreter. +To customize the behavior of the system, edit the [system message, model, skills library path,](https://docs.openinterpreter.com/settings/all-settings) etc. in the `profiles` directory under the `server` directory. This file sets up an interpreter, and is powered by Open Interpreter. + +To specify the text-to-speech service for the 01 `base_device.py`, set `interpreter.tts` to either "openai" for OpenAI, "elevenlabs" for ElevenLabs, or "coqui" for Coqui (local) in a profile. For the 01 Light, set `SPEAKER_SAMPLE_RATE` to 24000 for Coqui (local) or 22050 for OpenAI TTS. We currently don't support ElevenLabs TTS on the 01 Light. ## Ubuntu Dependencies diff --git a/software/poetry.lock b/software/poetry.lock index d158290..a07e814 100644 --- a/software/poetry.lock +++ b/software/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] -name = "aifs" -version = "0.0.15" -description = "Local semantic search. Stupidly simple." +name = "absl-py" +version = "2.1.0" +description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false -python-versions = "<4,>=3.9" +python-versions = ">=3.7" files = [ - {file = "aifs-0.0.15-py3-none-any.whl", hash = "sha256:ea15d7702499c1af21a49a0b32248fbf1aef57857e4ffa11107e7f834613ad49"}, - {file = "aifs-0.0.15.tar.gz", hash = "sha256:385a975a135dbc6ab117dc9572f63faf4ac46dc594e7a8707b6f3408a0c0abab"}, + {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"}, + {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"}, ] [[package]] @@ -143,15 +143,26 @@ files = [ {file = "ansicon-1.89.0.tar.gz", hash = "sha256:e4d039def5768a47e4afec8e89e83ec3ae5a26bf00ad851f914d1240b444d2b1"}, ] +[[package]] +name = "anyascii" +version = "0.3.2" +description = "Unicode to ASCII transliteration" +optional = false 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load_dotenv load_dotenv() # take environment variables from .env. +import subprocess import os import sys import asyncio @@ -46,7 +47,7 @@ accumulator = Accumulator() CHUNK = 1024 # Record in chunks of 1024 samples FORMAT = pyaudio.paInt16 # 16 bits per sample CHANNELS = 1 # Mono -RATE = 44100 # Sample rate +RATE = 16000 # Sample rate RECORDING = False # Flag to control recording state SPACEBAR_PRESSED = False # Flag to track spacebar press state @@ -60,12 +61,18 @@ CAMERA_WARMUP_SECONDS = float(os.getenv("CAMERA_WARMUP_SECONDS", 0)) # Specify OS current_platform = get_system_info() + def is_win11(): return sys.getwindowsversion().build >= 22000 + def is_win10(): try: - return platform.system() == "Windows" and "10" in platform.version() and not is_win11() + return ( + platform.system() == "Windows" + and "10" in platform.version() + and not is_win11() + ) except: return False @@ -80,9 +87,10 @@ class Device: def __init__(self): self.pressed_keys = set() self.captured_images = [] - self.audiosegments = [] + self.audiosegments = asyncio.Queue() self.server_url = "" self.ctrl_pressed = False + self.tts_service = "" def fetch_image_from_camera(self, camera_index=CAMERA_DEVICE_INDEX): """Captures an image from the specified camera device and saves it to a temporary file. Adds the image to the captured_images list.""" @@ -144,11 +152,25 @@ class Device: async def play_audiosegments(self): """Plays them sequentially.""" + + mpv_command = ["mpv", "--no-cache", "--no-terminal", "--", "fd://0"] + mpv_process = subprocess.Popen( + mpv_command, + stdin=subprocess.PIPE, + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL, + ) + while True: try: - for audio in self.audiosegments: + audio = await self.audiosegments.get() + + if self.tts_service == "elevenlabs": + mpv_process.stdin.write(audio) # type: ignore + mpv_process.stdin.flush() # type: ignore + else: play(audio) - self.audiosegments.remove(audio) + await asyncio.sleep(0.1) except asyncio.exceptions.CancelledError: # This happens once at the start? @@ -267,19 +289,18 @@ class Device: def on_press(self, key): """Detect spacebar press and Ctrl+C combination.""" self.pressed_keys.add(key) # Add the pressed key to the set - if keyboard.Key.space in self.pressed_keys: self.toggle_recording(True) - elif {keyboard.Key.ctrl, keyboard.KeyCode.from_char('c')} <= self.pressed_keys: + elif {keyboard.Key.ctrl, keyboard.KeyCode.from_char("c")} <= self.pressed_keys: logger.info("Ctrl+C pressed. Exiting...") kill_process_tree() os._exit(0) - + # Windows alternative to the above if key == keyboard.Key.ctrl_l: self.ctrl_pressed = True - + try: if key.vk == 67 and self.ctrl_pressed: logger.info("Ctrl+C pressed. Exiting...") @@ -289,17 +310,17 @@ class Device: except: pass - - def on_release(self, key): """Detect spacebar release and 'c' key press for camera, and handle key release.""" - self.pressed_keys.discard(key) # Remove the released key from the key press tracking set + self.pressed_keys.discard( + key + ) # Remove the released key from the key press tracking set if key == keyboard.Key.ctrl_l: self.ctrl_pressed = False if key == keyboard.Key.space: self.toggle_recording(False) - elif CAMERA_ENABLED and key == keyboard.KeyCode.from_char('c'): + elif CAMERA_ENABLED and key == keyboard.KeyCode.from_char("c"): self.fetch_image_from_camera() async def message_sender(self, websocket): @@ -332,35 +353,48 @@ class Device: chunk = await websocket.recv() logger.debug(f"Got this message from the server: {type(chunk)} {chunk}") + # print("received chunk from server") if type(chunk) == str: chunk = json.loads(chunk) - message = accumulator.accumulate(chunk) + if chunk.get("type") == "config": + self.tts_service = chunk.get("tts_service") + continue + + if self.tts_service == "elevenlabs": + message = chunk + else: + message = accumulator.accumulate(chunk) + if message == None: # Will be None until we have a full message ready continue # At this point, we have our message - - if message["type"] == "audio" and message["format"].startswith("bytes"): + if isinstance(message, bytes) or ( + message["type"] == "audio" and message["format"].startswith("bytes") + ): # Convert bytes to audio file - - audio_bytes = message["content"] - - # Create an AudioSegment instance with the raw data - audio = AudioSegment( - # raw audio data (bytes) - data=audio_bytes, - # signed 16-bit little-endian format - sample_width=2, - # 16,000 Hz frame rate - frame_rate=16000, - # mono sound - channels=1, - ) - - self.audiosegments.append(audio) + if self.tts_service == "elevenlabs": + audio_bytes = message + audio = audio_bytes + else: + audio_bytes = message["content"] + + # Create an AudioSegment instance with the raw data + audio = AudioSegment( + # raw audio data (bytes) + data=audio_bytes, + # signed 16-bit little-endian format + sample_width=2, + # 16,000 Hz frame rate + frame_rate=22050, + # mono sound + channels=1, + ) + + await self.audiosegments.put(audio) # Run the code if that's the client's job if os.getenv("CODE_RUNNER") == "client": @@ -369,7 +403,7 @@ class Device: code = message["content"] result = interpreter.computer.run(language, code) send_queue.put(result) - + if is_win10(): logger.info("Windows 10 detected") # Workaround for Windows 10 not latching to the websocket server. @@ -399,6 +433,7 @@ class Device: # Start watching the kernel if it's your job to do that if os.getenv("CODE_RUNNER") == "client": + # client is not running code! asyncio.create_task(put_kernel_messages_into_queue(send_queue)) asyncio.create_task(self.play_audiosegments()) diff --git a/software/source/clients/esp32/src/client/client.ino b/software/source/clients/esp32/src/client/client.ino index 76ba056..da6f2d5 100644 --- a/software/source/clients/esp32/src/client/client.ino +++ b/software/source/clients/esp32/src/client/client.ino @@ -1,868 +1,881 @@ -#include -#include -#include //not needed in the arduino ide -#include //https://github.com/me-no-dev/AsyncTCP using the latest dev version from @me-no-dev -#include -#include //https://github.com/me-no-dev/ESPAsyncWebServer using the latest dev version from @me-no-dev -#include //Used for mpdu_rx_disable android workaround -#include -#include -#include -#include -#include -#include -#include - -Preferences preferences; - -String server_domain = ""; -int server_port = 10001; - -// ----------------------- START OF WIFI CAPTIVE PORTAL ------------------- - -// Pre reading on the fundamentals of captive portals https://textslashplain.com/2022/06/24/captive-portals/ - -const char *ssid = "01-Light"; // FYI The SSID can't have a space in it. -// const char * password = "12345678"; //Atleast 8 chars -const char *password = NULL; // no password - -#define MAX_CLIENTS 4 // ESP32 supports up to 10 but I have not tested it yet -#define WIFI_CHANNEL 6 // 2.4ghz channel 6 https://en.wikipedia.org/wiki/List_of_WLAN_channels#2.4_GHz_(802.11b/g/n/ax) -#define DNS_INTERVAL 30 // Define the DNS interval in milliseconds between processing DNS requests - -const IPAddress localIP(4, 3, 2, 1); // the IP address the web server, Samsung requires the IP to be in public space -const IPAddress gatewayIP(4, 3, 2, 1); // IP address of the network should be the same as the local IP for captive portals -const IPAddress subnetMask(255, 255, 255, 0); // no need to change: https://avinetworks.com/glossary/subnet-mask/ -const String localIPURL = "http://4.3.2.1"; // a string version of the local IP with http, used for redirecting clients to your webpage - -// Number of milliseconds to wait without receiving any data before we give up -const int kNetworkTimeout = 30 * 1000; -// Number of milliseconds to wait if no data is available before trying again -const int kNetworkDelay = 1000; - - -String generateHTMLWithSSIDs() -{ - String html = "WiFi Setup" - "" - "" - "" - "

01 Light

" - "


" - "




" - "
" - "
"; - - return html; -} - -const char post_connected_html[] PROGMEM = R"=====( - - - - 01OS Setup - - - - -

01OS Setup

-
-
-

-

-
- - - - -

-
- - -)====="; - -String successHtml = R"=====( - - - - 01OS Setup - - - - -

Connected to 01OS!

-

You can now close this window

- - -)====="; - -DNSServer dnsServer; -AsyncWebServer server(80); - -void setUpDNSServer(DNSServer &dnsServer, const IPAddress &localIP) -{ - // Set the TTL for DNS response and start the DNS server - dnsServer.setTTL(3600); - dnsServer.start(53, "*", localIP); -} - -void startSoftAccessPoint(const char *ssid, const char *password, const IPAddress &localIP, const IPAddress &gatewayIP) -{ - // Set the WiFi mode to access point and station - WiFi.mode(WIFI_MODE_AP); - - // Define the subnet mask for the WiFi network - const IPAddress subnetMask(255, 255, 255, 0); - - // Configure the soft access point with a specific IP and subnet mask - WiFi.softAPConfig(localIP, gatewayIP, subnetMask); - - // Start the soft access point with the given ssid, password, channel, max number of clients - WiFi.softAP(ssid, password, WIFI_CHANNEL, 0, MAX_CLIENTS); - - // Disable AMPDU RX on the ESP32 WiFi to fix a bug on Android - esp_wifi_stop(); - esp_wifi_deinit(); - wifi_init_config_t my_config = WIFI_INIT_CONFIG_DEFAULT(); - my_config.ampdu_rx_enable = false; - esp_wifi_init(&my_config); - esp_wifi_start(); - vTaskDelay(100 / portTICK_PERIOD_MS); // Add a small delay -} - -void connectToWifi(String ssid, String password) { - WiFi.begin(ssid.c_str(), password.c_str()); - - int attempts = 0; - while (WiFi.status() != WL_CONNECTED && attempts < 20) { - delay(1000); - Serial.print("."); - attempts++; - } - - if (WiFi.status() == WL_CONNECTED) { - Serial.println("Connected to Wi-Fi"); - - // Store credentials on successful connection - preferences.begin("wifi", false); // Open Preferences with my-app namespace. RW-mode is false by default. - preferences.putString("ssid", ssid); // Put your SSID. - preferences.putString("password", password); // Put your PASSWORD. - preferences.end(); // Close the Preferences. - } else { - Serial.println("Failed to connect to Wi-Fi. Check credentials."); - } -} - -bool connectTo01OS(String server_address) -{ - int err = 0; - int port = 80; - - String domain; - String portStr; - - // Remove http and https, as it causes errors in HttpClient, the library relies on adding the host header itself - if (server_address.startsWith("http://")) { - server_address.remove(0, 7); - - } else if (server_address.startsWith("https://")) { - server_address.remove(0, 8); - - } - - // Remove trailing slash, causes issues - if (server_address.endsWith("/")) { - server_address.remove(server_address.length() - 1); - } - - int colonIndex = server_address.indexOf(':'); - if (colonIndex != -1) { - domain = server_address.substring(0, colonIndex); - portStr = server_address.substring(colonIndex + 1); - } else { - domain = server_address; - portStr = ""; - } - - WiFiClient c; - - - //If there is a port, set it - if (portStr.length() > 0) { - port = portStr.toInt(); - } - - HttpClient http(c, domain.c_str(), port); - Serial.println("Connecting to 01OS at " + domain + ":" + port + "/ping"); - - if (domain.indexOf("ngrok") != -1) { - http.sendHeader("ngrok-skip-browser-warning", "80"); - } - - err = http.get("/ping"); - bool connectionSuccess = false; - - if (err == 0) - { - Serial.println("Started the ping request"); - - err = http.responseStatusCode(); - if (err >= 0) - { - Serial.print("Got status code: "); - Serial.println(err); - - if (err == 200) - { - server_domain = domain; - server_port = port; - connectionSuccess = true; - preferences.begin("network", false); // Use a different namespace for network settings - preferences.putString("server_url", server_address); // Store the server URL - preferences.end(); // Close the Preferences - } - - err = http.skipResponseHeaders(); - if (err >= 0) - { - int bodyLen = http.contentLength(); - Serial.print("Content length is: "); - Serial.println(bodyLen); - Serial.println(); - Serial.println("Body:"); - - // Now we've got to the body, so we can print it out - unsigned long timeoutStart = millis(); - char c; - // Whilst we haven't timed out & haven't reached the end of the body - while ((http.connected() || http.available()) && - ((millis() - timeoutStart) < kNetworkTimeout)) - { - if (http.available()) - { - c = http.read(); - // Print out this character - Serial.print(c); - Serial.print(""); - - bodyLen--; - // We read something, reset the timeout counter - timeoutStart = millis(); - } - else - { - // We haven't got any data, so let's pause to allow some to - // arrive - delay(kNetworkDelay); - } - } - } - else - { - Serial.print("Failed to skip response headers: "); - Serial.println(err); - } - } - else - { - Serial.print("Getting response failed: "); - Serial.println(err); - } - } - else - { - Serial.print("Connection failed: "); - Serial.println(err); - } - - return connectionSuccess; -} - -void setUpWebserver(AsyncWebServer &server, const IPAddress &localIP) -{ - //======================== Webserver ======================== - // WARNING IOS (and maybe macos) WILL NOT POP UP IF IT CONTAINS THE WORD "Success" https://www.esp8266.com/viewtopic.php?f=34&t=4398 - // SAFARI (IOS) IS STUPID, G-ZIPPED FILES CAN'T END IN .GZ https://github.com/homieiot/homie-esp8266/issues/476 this is fixed by the webserver serve static function. - // SAFARI (IOS) there is a 128KB limit to the size of the HTML. The HTML can reference external resources/images that bring the total over 128KB - // SAFARI (IOS) popup browser has some severe limitations (javascript disabled, cookies disabled) - - // Required - server.on("/connecttest.txt", [](AsyncWebServerRequest *request) - { request->redirect("http://logout.net"); }); // windows 11 captive portal workaround - server.on("/wpad.dat", [](AsyncWebServerRequest *request) - { request->send(404); }); // Honestly don't understand what this is but a 404 stops win 10 keep calling this repeatedly and panicking the esp32 :) - - // Background responses: Probably not all are Required, but some are. Others might speed things up? - // A Tier (commonly used by modern systems) - server.on("/generate_204", [](AsyncWebServerRequest *request) - { request->redirect(localIPURL); }); // android captive portal redirect - server.on("/redirect", [](AsyncWebServerRequest *request) - { request->redirect(localIPURL); }); // microsoft redirect - server.on("/hotspot-detect.html", [](AsyncWebServerRequest *request) - { request->redirect(localIPURL); }); // apple call home - server.on("/canonical.html", [](AsyncWebServerRequest *request) - { request->redirect(localIPURL); }); // firefox captive portal call home - server.on("/success.txt", [](AsyncWebServerRequest *request) - { request->send(200); }); // firefox captive portal call home - server.on("/ncsi.txt", [](AsyncWebServerRequest *request) - { request->redirect(localIPURL); }); // windows call home - - // B Tier (uncommon) - // server.on("/chrome-variations/seed",[](AsyncWebServerRequest *request){request->send(200);}); //chrome captive portal call home - // server.on("/service/update2/json",[](AsyncWebServerRequest *request){request->send(200);}); //firefox? - // server.on("/chat",[](AsyncWebServerRequest *request){request->send(404);}); //No stop asking Whatsapp, there is no internet connection - // server.on("/startpage",[](AsyncWebServerRequest *request){request->redirect(localIPURL);}); - - // return 404 to webpage icon - server.on("/favicon.ico", [](AsyncWebServerRequest *request) - { request->send(404); }); // webpage icon - - // Serve Basic HTML Page - server.on("/", HTTP_ANY, [](AsyncWebServerRequest *request) - { - String htmlContent = ""; - Serial.printf("Wifi scan complete: %d . WIFI_SCAN_RUNNING: %d", WiFi.scanComplete(), WIFI_SCAN_RUNNING); - if(WiFi.scanComplete() > 0) { - // Scan complete, process results - Serial.println("Done scanning wifi"); - htmlContent = generateHTMLWithSSIDs(); - // WiFi.scanNetworks(true); // Start a new scan in async mode - } - AsyncWebServerResponse *response = request->beginResponse(200, "text/html", htmlContent); - response->addHeader("Cache-Control", "public,max-age=31536000"); // save this file to cache for 1 year (unless you refresh) - request->send(response); - Serial.println("Served HTML Page"); }); - - // the catch all - server.onNotFound([](AsyncWebServerRequest *request) - { - request->redirect(localIPURL); - Serial.print("onnotfound "); - Serial.print(request->host()); // This gives some insight into whatever was being requested on the serial monitor - Serial.print(" "); - Serial.print(request->url()); - Serial.print(" sent redirect to " + localIPURL + "\n"); }); - - server.on("/submit", HTTP_POST, [](AsyncWebServerRequest *request) - { - String ssid; - String password; - - // Check if SSID parameter exists and assign it - if(request->hasParam("ssid", true)) { - ssid = request->getParam("ssid", true)->value(); - // If "OTHER" is selected, use the value from "otherSSID" - if(ssid == "OTHER" && request->hasParam("otherSSID", true)) { - ssid = request->getParam("otherSSID", true)->value(); - Serial.println("OTHER SSID SELECTED: " + ssid); - } - } - - // Check if Password parameter exists and assign it - if(request->hasParam("password", true)) { - password = request->getParam("password", true)->value(); - } - // Serial.println(ssid); - // Serial.println(password); - - // Attempt to connect to the Wi-Fi network with these credentials - if(request->hasParam("password", true) && request->hasParam("ssid", true)) { - connectToWifi(ssid, password); - } - - - // Redirect user or send a response back - if (WiFi.status() == WL_CONNECTED) { - String htmlContent = post_connected_html; - AsyncWebServerResponse *response = request->beginResponse(200, "text/html", htmlContent); - response->addHeader("Cache-Control", "public,max-age=31536000"); // save this file to cache for 1 year (unless you refresh) - request->send(response); - Serial.println("Served Post connection HTML Page"); - } else { - request->send(200, "text/plain", "Failed to connect to " + ssid); - } }); - - server.on("/submit_01os", HTTP_POST, [](AsyncWebServerRequest *request) - { - String server_address; - - // Check if SSID parameter exists and assign it - if(request->hasParam("server_address", true)) { - server_address = request->getParam("server_address", true)->value(); - } - - // Attempt to connect to the Wi-Fi network with these credentials - bool connectedToServer = connectTo01OS(server_address); - - // Redirect user or send a response back - String connectionMessage; - - if (connectedToServer) - { - AsyncWebServerResponse *response = request->beginResponse(200, "text/html", successHtml); - response->addHeader("Cache-Control", "no-cache, no-store, must-revalidate"); // Prevent caching of this page - request->send(response); - Serial.println(" "); - Serial.println("Connected to 01 websocket!"); - Serial.println(" "); - Serial.println("Served success HTML Page"); - } - else - { - // If connection fails, serve the error page instead of sending plain text - String htmlContent = String(post_connected_html); // Load your HTML template - // Inject the error message - htmlContent.replace("

", "

Error connecting, please try again.

"); - - AsyncWebServerResponse *response = request->beginResponse(200, "text/html", htmlContent); - response->addHeader("Cache-Control", "no-cache, no-store, must-revalidate"); // Prevent caching of this page - request->send(response); - Serial.println("Served Post connection HTML Page with error message"); - } - }); -} -void tryReconnectWiFi() { - Serial.println("Checking for stored WiFi credentials..."); - preferences.begin("wifi", true); // Open Preferences with my-app namespace in ReadOnly mode - String ssid = preferences.getString("ssid", ""); // Get stored SSID, if any - String password = preferences.getString("password", ""); // Get stored password, if any - preferences.end(); // Close the Preferences - - if (ssid != "") { // Check if we have stored credentials - Serial.println("Trying to connect to WiFi with stored credentials."); - WiFi.begin(ssid.c_str(), password.c_str()); - - int attempts = 0; - while (WiFi.status() != WL_CONNECTED && attempts < 20) { - delay(500); - Serial.print("."); - attempts++; - } - - if (WiFi.status() == WL_CONNECTED) { - Serial.println("Connected to Wi-Fi using stored credentials."); - tryReconnectToServer(); - return; - } else { - Serial.println("Failed to connect to Wi-Fi. Starting captive portal."); - } - } else { - Serial.println("No stored WiFi credentials. Starting captive portal."); - } -} -void tryReconnectToServer() { - preferences.begin("network", true); // Open Preferences with the "network" namespace in ReadOnly mode - String serverURL = preferences.getString("server_url", ""); // Get stored server URL, if any - preferences.end(); // Close the Preferences - - if (!serverURL.isEmpty()) { - Serial.println("Trying to reconnect to server with stored URL: " + serverURL); - // Attempt to connect to the server using the stored URL - if (connectTo01OS(serverURL)) { - Serial.println("Reconnected to server using stored URL."); - } else { - Serial.println("Failed to reconnect to server. Proceeding with normal startup."); - // Proceed with your normal startup routine, possibly involving user input to get a new URL - } - } else { - Serial.println("No stored server URL. Proceeding with normal startup."); - // Normal startup routine - } -} -// ----------------------- END OF WIFI CAPTIVE PORTAL ------------------- - -// ----------------------- START OF PLAYBACK ------------------- - -#define CONFIG_I2S_BCK_PIN 19 -#define CONFIG_I2S_LRCK_PIN 33 -#define CONFIG_I2S_DATA_PIN 22 -#define CONFIG_I2S_DATA_IN_PIN 23 -#define SPEAKER_I2S_NUMBER I2S_NUM_0 -#define MODE_MIC 0 -#define MODE_SPK 1 -#define DATA_SIZE 1024 - -#define MAX_DATA_LEN (1024 * 9) - -uint8_t microphonedata0[1024 * 10]; -uint8_t speakerdata0[1024 * 1]; -int speaker_offset; -int data_offset; - -bool recording = false; -WebSocketsClient webSocket; - -class ButtonChecker -{ -public: - void loop() - { - lastTickState = thisTickState; - thisTickState = M5.Btn.isPressed() != 0; - } - - bool justPressed() - { - return thisTickState && !lastTickState; - } - - bool justReleased() - { - return !thisTickState && lastTickState; - } - -private: - bool lastTickState = false; - bool thisTickState = false; -}; - -ButtonChecker button = ButtonChecker(); - -void InitI2SSpeakerOrMic(int mode) -{ - Serial.printf("InitI2sSpeakerOrMic %d\n", mode); - esp_err_t err = ESP_OK; - - i2s_driver_uninstall(SPEAKER_I2S_NUMBER); - i2s_config_t i2s_config = { - .mode = (i2s_mode_t)(I2S_MODE_MASTER), - .sample_rate = 16000, - .bits_per_sample = - I2S_BITS_PER_SAMPLE_16BIT, // is fixed at 12bit, stereo, MSB - .channel_format = I2S_CHANNEL_FMT_ALL_RIGHT, -#if ESP_IDF_VERSION > ESP_IDF_VERSION_VAL(4, 1, 0) - .communication_format = - I2S_COMM_FORMAT_STAND_I2S, // Set the format of the communication. -#else - .communication_format = I2S_COMM_FORMAT_I2S, -#endif - .intr_alloc_flags = ESP_INTR_FLAG_LEVEL1, - .dma_buf_count = 6, - .dma_buf_len = 60, - }; - if (mode == MODE_MIC) - { - i2s_config.mode = - (i2s_mode_t)(I2S_MODE_MASTER | I2S_MODE_RX | I2S_MODE_PDM); - } - else - { - i2s_config.mode = (i2s_mode_t)(I2S_MODE_MASTER | I2S_MODE_TX); - i2s_config.use_apll = false; - i2s_config.tx_desc_auto_clear = true; - } - - err += i2s_driver_install(SPEAKER_I2S_NUMBER, &i2s_config, 0, NULL); - i2s_pin_config_t tx_pin_config; - -#if (ESP_IDF_VERSION > ESP_IDF_VERSION_VAL(4, 3, 0)) - tx_pin_config.mck_io_num = I2S_PIN_NO_CHANGE; -#endif - tx_pin_config.bck_io_num = CONFIG_I2S_BCK_PIN; - tx_pin_config.ws_io_num = CONFIG_I2S_LRCK_PIN; - tx_pin_config.data_out_num = CONFIG_I2S_DATA_PIN; - tx_pin_config.data_in_num = CONFIG_I2S_DATA_IN_PIN; - err += i2s_set_pin(SPEAKER_I2S_NUMBER, &tx_pin_config); - err += i2s_set_clk(SPEAKER_I2S_NUMBER, 16000, I2S_BITS_PER_SAMPLE_16BIT, - I2S_CHANNEL_MONO); -} - -void speaker_play(uint8_t *payload, uint32_t len) -{ - Serial.printf("received %lu bytes", len); - size_t bytes_written; - InitI2SSpeakerOrMic(MODE_SPK); - i2s_write(SPEAKER_I2S_NUMBER, payload, len, - &bytes_written, portMAX_DELAY); -} - -void webSocketEvent(WStype_t type, uint8_t *payload, size_t length) -{ - switch (type) - { - case WStype_DISCONNECTED: - Serial.printf("[WSc] Disconnected!\n"); - break; - case WStype_CONNECTED: - Serial.printf("[WSc] Connected to url: %s\n", payload); - - // send message to server when Connected - break; - case WStype_TEXT: - Serial.printf("[WSc] get text: %s\n", payload); - { - std::string str(payload, payload + length); - bool isAudio = str.find("\"audio\"") != std::string::npos; - if (isAudio && str.find("\"start\"") != std::string::npos) - { - Serial.println("start playback"); - speaker_offset = 0; - InitI2SSpeakerOrMic(MODE_SPK); - } - else if (isAudio && str.find("\"end\"") != std::string::npos) - { - Serial.println("end playback"); - // speaker_play(speakerdata0, speaker_offset); - // speaker_offset = 0; - } - } - // send message to server - // webSocket.sendTXT("message here"); - break; - case WStype_BIN: - Serial.printf("[WSc] get binary length: %u\n", length); - memcpy(speakerdata0 + speaker_offset, payload, length); - speaker_offset += length; - size_t bytes_written; - i2s_write(SPEAKER_I2S_NUMBER, speakerdata0, speaker_offset, &bytes_written, portMAX_DELAY); - speaker_offset = 0; - - // send data to server - // webSocket.sendBIN(payload, length); - break; - case WStype_ERROR: - case WStype_FRAGMENT_TEXT_START: - case WStype_FRAGMENT_BIN_START: - case WStype_FRAGMENT: - case WStype_FRAGMENT_FIN: - break; - } -} - -void websocket_setup(String server_domain, int port) -{ - if (WiFi.status() != WL_CONNECTED) - { - Serial.println("Not connected to WiFi. Abandoning setup websocket"); - return; - } - Serial.println("connected to WiFi"); - webSocket.begin(server_domain, port, "/"); - webSocket.onEvent(webSocketEvent); - // webSocket.setAuthorization("user", "Password"); - webSocket.setReconnectInterval(5000); -} - -void flush_microphone() -{ - Serial.printf("[microphone] flushing and sending %d bytes of data\n", data_offset); - if (data_offset == 0) - return; - webSocket.sendBIN(microphonedata0, data_offset); - data_offset = 0; -} - -void audio_recording_task(void *arg) { - while (1) { - if (recording) { - Serial.printf("Reading chunk at %d...\n", data_offset); - size_t bytes_read; - i2s_read( - SPEAKER_I2S_NUMBER, - (char *)(microphonedata0 + data_offset), - DATA_SIZE, &bytes_read, (100 / portTICK_RATE_MS)); - data_offset += bytes_read; - Serial.printf("Read %d bytes in chunk.\n", bytes_read); - - // Only send here - if (data_offset > MAX_DATA_LEN) - { - flush_microphone(); - delay(10); - } - } - else { - delay(100); // Wait for recording event - } - } -} - -// ----------------------- END OF PLAYBACK ------------------- - -bool hasSetupWebsocket = false; -bool isServerURLStored() { - preferences.begin("network", true); // Open Preferences with the "network" namespace in ReadOnly mode - String serverURL = preferences.getString("server_url", ""); // Get stored server URL, if any - preferences.end(); // Close the Preferences - return !serverURL.isEmpty(); -} -void setup() { - Serial.begin(115200); // Initialize serial communication at 115200 baud rate. - // Attempt to reconnect to WiFi using stored credentials. - // Check if WiFi is connected but the server URL isn't stored - - Serial.setTxBufferSize(1024); // Set the transmit buffer size for the Serial object. - - WiFi.mode(WIFI_AP_STA); // Set WiFi mode to both AP and STA. - - // delay(100); // Short delay to ensure mode change takes effect - // WiFi.softAPConfig(localIP, gatewayIP, subnetMask); - // WiFi.softAP(ssid, password); - startSoftAccessPoint(ssid, password, localIP, gatewayIP); - setUpDNSServer(dnsServer, localIP); - - setUpWebserver(server, localIP); - tryReconnectWiFi(); - // Print a welcome message to the Serial port. - Serial.println("\n\nCaptive Test, V0.5.0 compiled " __DATE__ " " __TIME__ " by CD_FER"); - Serial.printf("%s-%d\n\r", ESP.getChipModel(), ESP.getChipRevision()); - - // If WiFi reconnect fails, start the soft access point for the captive portal. - if (WiFi.status() != WL_CONNECTED) { - startSoftAccessPoint(ssid, password, localIP, gatewayIP); - setUpDNSServer(dnsServer, localIP); - WiFi.scanNetworks(true); // Start scanning for networks in preparation for the captive portal. - setUpWebserver(server, localIP); // Set up the web server for the captive portal. - } - - server.begin(); // Begin the web server. - - Serial.print("\nStartup Time:"); - Serial.println(millis()); - Serial.print("\n"); - - M5.begin(true, false, true); // Initialize M5Stack Atom board. - M5.dis.drawpix(0, CRGB(255, 0, 50)); // Set the display color. - - xTaskCreate(audio_recording_task, "AUDIO", 4096, NULL, 4, NULL); // Create a task for audio recording. -} - -void loop() -{ - // Don't use delay here, should use elapsed time - uint32_t last_dns_ms = 0; - if ((millis() - last_dns_ms) > DNS_INTERVAL) { - last_dns_ms = millis(); // seems to help with stability, if you are doing other things in the loop this may not be needed - dnsServer.processNextRequest(); // I call this atleast every 10ms in my other projects (can be higher but I haven't tested it for stability) - } - - // Check WiFi connection status - if (WiFi.status() == WL_CONNECTED && !hasSetupWebsocket) - { - if (server_domain != "") - { - Serial.println("Setting up websocket to 01OS " + server_domain + ":" + server_port); - websocket_setup(server_domain, server_port); - InitI2SSpeakerOrMic(MODE_SPK); - - hasSetupWebsocket = true; - M5.dis.drawpix(0, CRGB(0, 128, 150)); - - Serial.println("Websocket connection flow completed"); - } - } - - if (WiFi.status() == WL_CONNECTED && hasSetupWebsocket) - { - button.loop(); - if (button.justPressed()) - { - Serial.println("Recording..."); - webSocket.sendTXT("{\"role\": \"user\", \"type\": \"audio\", \"format\": \"bytes.raw\", \"start\": true}"); - InitI2SSpeakerOrMic(MODE_MIC); - recording = true; - data_offset = 0; - Serial.println("Recording ready."); - } - else if (button.justReleased()) - { - Serial.println("Stopped recording."); - webSocket.sendTXT("{\"role\": \"user\", \"type\": \"audio\", \"format\": \"bytes.raw\", \"end\": true}"); - flush_microphone(); - recording = false; - data_offset = 0; - } - - M5.update(); - webSocket.loop(); - } -} +#include +#include +#include //not needed in the arduino ide +#include //https://github.com/me-no-dev/AsyncTCP using the latest dev version from @me-no-dev +#include +#include //https://github.com/me-no-dev/ESPAsyncWebServer using the latest dev version from @me-no-dev +#include //Used for mpdu_rx_disable android workaround +#include +#include +#include +#include +#include +#include +#include + +Preferences preferences; + +String server_domain = ""; +int server_port = 10001; + +// ----------------------- START OF WIFI CAPTIVE PORTAL ------------------- + +// Pre reading on the fundamentals of captive portals https://textslashplain.com/2022/06/24/captive-portals/ + +const char *ssid = "01-Light"; // FYI The SSID can't have a space in it. +// const char * password = "12345678"; //Atleast 8 chars +const char *password = NULL; // no password + +#define MAX_CLIENTS 4 // ESP32 supports up to 10 but I have not tested it yet +#define WIFI_CHANNEL 6 // 2.4ghz channel 6 https://en.wikipedia.org/wiki/List_of_WLAN_channels#2.4_GHz_(802.11b/g/n/ax) +#define DNS_INTERVAL 30 // Define the DNS interval in milliseconds between processing DNS requests + +const IPAddress localIP(4, 3, 2, 1); // the IP address the web server, Samsung requires the IP to be in public space +const IPAddress gatewayIP(4, 3, 2, 1); // IP address of the network should be the same as the local IP for captive portals +const IPAddress subnetMask(255, 255, 255, 0); // no need to change: https://avinetworks.com/glossary/subnet-mask/ +const String localIPURL = "http://4.3.2.1"; // a string version of the local IP with http, used for redirecting clients to your webpage + +// Number of milliseconds to wait without receiving any data before we give up +const int kNetworkTimeout = 30 * 1000; +// Number of milliseconds to wait if no data is available before trying again +const int kNetworkDelay = 1000; + + +String generateHTMLWithSSIDs() +{ + String html = "WiFi Setup" + "" + "" + "" + "

01 Light

" + "


" + "




" + "
" + "
"; + + return html; +} + +const char post_connected_html[] PROGMEM = R"=====( + + + + 01OS Setup + + + + +

01OS Setup

+
+
+

+

+
+ + + + +

+
+ + +)====="; + +String successHtml = R"=====( + + + + 01OS Setup + + + + +

Connected to 01OS!

+

You can now close this window

+ + +)====="; + +DNSServer dnsServer; +AsyncWebServer server(80); + +void setUpDNSServer(DNSServer &dnsServer, const IPAddress &localIP) +{ + // Set the TTL for DNS response and start the DNS server + dnsServer.setTTL(3600); + dnsServer.start(53, "*", localIP); +} + +void startSoftAccessPoint(const char *ssid, const char *password, const IPAddress &localIP, const IPAddress &gatewayIP) +{ + // Set the WiFi mode to access point and station + WiFi.mode(WIFI_MODE_AP); + + // Define the subnet mask for the WiFi network + const IPAddress subnetMask(255, 255, 255, 0); + + // Configure the soft access point with a specific IP and subnet mask + WiFi.softAPConfig(localIP, gatewayIP, subnetMask); + + // Start the soft access point with the given ssid, password, channel, max number of clients + WiFi.softAP(ssid, password, WIFI_CHANNEL, 0, MAX_CLIENTS); + + // Disable AMPDU RX on the ESP32 WiFi to fix a bug on Android + esp_wifi_stop(); + esp_wifi_deinit(); + wifi_init_config_t my_config = WIFI_INIT_CONFIG_DEFAULT(); + my_config.ampdu_rx_enable = false; + esp_wifi_init(&my_config); + esp_wifi_start(); + vTaskDelay(100 / portTICK_PERIOD_MS); // Add a small delay +} + +void connectToWifi(String ssid, String password) { + WiFi.begin(ssid.c_str(), password.c_str()); + + int attempts = 0; + while (WiFi.status() != WL_CONNECTED && attempts < 20) { + delay(1000); + Serial.print("."); + attempts++; + } + + if (WiFi.status() == WL_CONNECTED) { + Serial.println("Connected to Wi-Fi"); + + // Store credentials on successful connection + preferences.begin("wifi", false); // Open Preferences with my-app namespace. RW-mode is false by default. + preferences.putString("ssid", ssid); // Put your SSID. + preferences.putString("password", password); // Put your PASSWORD. + preferences.end(); // Close the Preferences. + } else { + Serial.println("Failed to connect to Wi-Fi. Check credentials."); + } +} + +bool connectTo01OS(String server_address) +{ + int err = 0; + int port = 80; + + String domain; + String portStr; + + // Remove http and https, as it causes errors in HttpClient, the library relies on adding the host header itself + if (server_address.startsWith("http://")) { + server_address.remove(0, 7); + + } else if (server_address.startsWith("https://")) { + server_address.remove(0, 8); + + } + + // Remove trailing slash, causes issues + if (server_address.endsWith("/")) { + server_address.remove(server_address.length() - 1); + } + + int colonIndex = server_address.indexOf(':'); + if (colonIndex != -1) { + domain = server_address.substring(0, colonIndex); + portStr = server_address.substring(colonIndex + 1); + } else { + domain = server_address; + portStr = ""; + } + + WiFiClient c; + + + //If there is a port, set it + if (portStr.length() > 0) { + port = portStr.toInt(); + } + + HttpClient http(c, domain.c_str(), port); + Serial.println("Connecting to 01OS at " + domain + ":" + port + "/ping"); + + if (domain.indexOf("ngrok") != -1) { + http.sendHeader("ngrok-skip-browser-warning", "80"); + } + + err = http.get("/ping"); + bool connectionSuccess = false; + + if (err == 0) + { + Serial.println("Started the ping request"); + + err = http.responseStatusCode(); + if (err >= 0) + { + Serial.print("Got status code: "); + Serial.println(err); + + if (err == 200) + { + server_domain = domain; + server_port = port; + connectionSuccess = true; + preferences.begin("network", false); // Use a different namespace for network settings + preferences.putString("server_url", server_address); // Store the server URL + preferences.end(); // Close the Preferences + } + + err = http.skipResponseHeaders(); + if (err >= 0) + { + int bodyLen = http.contentLength(); + Serial.print("Content length is: "); + Serial.println(bodyLen); + Serial.println(); + Serial.println("Body:"); + + // Now we've got to the body, so we can print it out + unsigned long timeoutStart = millis(); + char c; + // Whilst we haven't timed out & haven't reached the end of the body + while ((http.connected() || http.available()) && + ((millis() - timeoutStart) < kNetworkTimeout)) + { + if (http.available()) + { + c = http.read(); + // Print out this character + Serial.print(c); + Serial.print(""); + + bodyLen--; + // We read something, reset the timeout counter + timeoutStart = millis(); + } + else + { + // We haven't got any data, so let's pause to allow some to + // arrive + delay(kNetworkDelay); + } + } + } + else + { + Serial.print("Failed to skip response headers: "); + Serial.println(err); + } + } + else + { + Serial.print("Getting response failed: "); + Serial.println(err); + } + } + else + { + Serial.print("Connection failed: "); + Serial.println(err); + } + + return connectionSuccess; +} + +void setUpWebserver(AsyncWebServer &server, const IPAddress &localIP) +{ + //======================== Webserver ======================== + // WARNING IOS (and maybe macos) WILL NOT POP UP IF IT CONTAINS THE WORD "Success" https://www.esp8266.com/viewtopic.php?f=34&t=4398 + // SAFARI (IOS) IS STUPID, G-ZIPPED FILES CAN'T END IN .GZ https://github.com/homieiot/homie-esp8266/issues/476 this is fixed by the webserver serve static function. + // SAFARI (IOS) there is a 128KB limit to the size of the HTML. The HTML can reference external resources/images that bring the total over 128KB + // SAFARI (IOS) popup browser has some severe limitations (javascript disabled, cookies disabled) + + // Required + server.on("/connecttest.txt", [](AsyncWebServerRequest *request) + { request->redirect("http://logout.net"); }); // windows 11 captive portal workaround + server.on("/wpad.dat", [](AsyncWebServerRequest *request) + { request->send(404); }); // Honestly don't understand what this is but a 404 stops win 10 keep calling this repeatedly and panicking the esp32 :) + + // Background responses: Probably not all are Required, but some are. Others might speed things up? + // A Tier (commonly used by modern systems) + server.on("/generate_204", [](AsyncWebServerRequest *request) + { request->redirect(localIPURL); }); // android captive portal redirect + server.on("/redirect", [](AsyncWebServerRequest *request) + { request->redirect(localIPURL); }); // microsoft redirect + server.on("/hotspot-detect.html", [](AsyncWebServerRequest *request) + { request->redirect(localIPURL); }); // apple call home + server.on("/canonical.html", [](AsyncWebServerRequest *request) + { request->redirect(localIPURL); }); // firefox captive portal call home + server.on("/success.txt", [](AsyncWebServerRequest *request) + { request->send(200); }); // firefox captive portal call home + server.on("/ncsi.txt", [](AsyncWebServerRequest *request) + { request->redirect(localIPURL); }); // windows call home + + // B Tier (uncommon) + // server.on("/chrome-variations/seed",[](AsyncWebServerRequest *request){request->send(200);}); //chrome captive portal call home + // server.on("/service/update2/json",[](AsyncWebServerRequest *request){request->send(200);}); //firefox? + // server.on("/chat",[](AsyncWebServerRequest *request){request->send(404);}); //No stop asking Whatsapp, there is no internet connection + // server.on("/startpage",[](AsyncWebServerRequest *request){request->redirect(localIPURL);}); + + // return 404 to webpage icon + server.on("/favicon.ico", [](AsyncWebServerRequest *request) + { request->send(404); }); // webpage icon + + // Serve Basic HTML Page + server.on("/", HTTP_ANY, [](AsyncWebServerRequest *request) + { + String htmlContent = ""; + Serial.printf("Wifi scan complete: %d . WIFI_SCAN_RUNNING: %d", WiFi.scanComplete(), WIFI_SCAN_RUNNING); + if(WiFi.scanComplete() > 0) { + // Scan complete, process results + Serial.println("Done scanning wifi"); + htmlContent = generateHTMLWithSSIDs(); + // WiFi.scanNetworks(true); // Start a new scan in async mode + } + AsyncWebServerResponse *response = request->beginResponse(200, "text/html", htmlContent); + response->addHeader("Cache-Control", "public,max-age=31536000"); // save this file to cache for 1 year (unless you refresh) + request->send(response); + Serial.println("Served HTML Page"); }); + + // the catch all + server.onNotFound([](AsyncWebServerRequest *request) + { + request->redirect(localIPURL); + Serial.print("onnotfound "); + Serial.print(request->host()); // This gives some insight into whatever was being requested on the serial monitor + Serial.print(" "); + Serial.print(request->url()); + Serial.print(" sent redirect to " + localIPURL + "\n"); }); + + server.on("/submit", HTTP_POST, [](AsyncWebServerRequest *request) + { + String ssid; + String password; + + // Check if SSID parameter exists and assign it + if(request->hasParam("ssid", true)) { + ssid = request->getParam("ssid", true)->value(); + // If "OTHER" is selected, use the value from "otherSSID" + if(ssid == "OTHER" && request->hasParam("otherSSID", true)) { + ssid = request->getParam("otherSSID", true)->value(); + Serial.println("OTHER SSID SELECTED: " + ssid); + } + } + + // Check if Password parameter exists and assign it + if(request->hasParam("password", true)) { + password = request->getParam("password", true)->value(); + } + // Serial.println(ssid); + // Serial.println(password); + + // Attempt to connect to the Wi-Fi network with these credentials + if(request->hasParam("password", true) && request->hasParam("ssid", true)) { + connectToWifi(ssid, password); + } + + + // Redirect user or send a response back + if (WiFi.status() == WL_CONNECTED) { + String htmlContent = post_connected_html; + AsyncWebServerResponse *response = request->beginResponse(200, "text/html", htmlContent); + response->addHeader("Cache-Control", "public,max-age=31536000"); // save this file to cache for 1 year (unless you refresh) + request->send(response); + Serial.println("Served Post connection HTML Page"); + } else { + request->send(200, "text/plain", "Failed to connect to " + ssid); + } }); + + server.on("/submit_01os", HTTP_POST, [](AsyncWebServerRequest *request) + { + String server_address; + + // Check if SSID parameter exists and assign it + if(request->hasParam("server_address", true)) { + server_address = request->getParam("server_address", true)->value(); + } + + // Attempt to connect to the Wi-Fi network with these credentials + bool connectedToServer = connectTo01OS(server_address); + + // Redirect user or send a response back + String connectionMessage; + + if (connectedToServer) + { + AsyncWebServerResponse *response = request->beginResponse(200, "text/html", successHtml); + response->addHeader("Cache-Control", "no-cache, no-store, must-revalidate"); // Prevent caching of this page + request->send(response); + Serial.println(" "); + Serial.println("Connected to 01 websocket!"); + Serial.println(" "); + Serial.println("Served success HTML Page"); + } + else + { + // If connection fails, serve the error page instead of sending plain text + String htmlContent = String(post_connected_html); // Load your HTML template + // Inject the error message + htmlContent.replace("

", "

Error connecting, please try again.

"); + + AsyncWebServerResponse *response = request->beginResponse(200, "text/html", htmlContent); + response->addHeader("Cache-Control", "no-cache, no-store, must-revalidate"); // Prevent caching of this page + request->send(response); + Serial.println("Served Post connection HTML Page with error message"); + } + }); +} +void tryReconnectWiFi() { + Serial.println("Checking for stored WiFi credentials..."); + preferences.begin("wifi", true); // Open Preferences with my-app namespace in ReadOnly mode + String ssid = preferences.getString("ssid", ""); // Get stored SSID, if any + String password = preferences.getString("password", ""); // Get stored password, if any + preferences.end(); // Close the Preferences + + if (ssid != "") { // Check if we have stored credentials + Serial.println("Trying to connect to WiFi with stored credentials."); + WiFi.begin(ssid.c_str(), password.c_str()); + + int attempts = 0; + while (WiFi.status() != WL_CONNECTED && attempts < 20) { + delay(500); + Serial.print("."); + attempts++; + } + + if (WiFi.status() == WL_CONNECTED) { + Serial.println("Connected to Wi-Fi using stored credentials."); + tryReconnectToServer(); + return; + } else { + Serial.println("Failed to connect to Wi-Fi. Starting captive portal."); + } + } else { + Serial.println("No stored WiFi credentials. Starting captive portal."); + } +} +void tryReconnectToServer() { + preferences.begin("network", true); // Open Preferences with the "network" namespace in ReadOnly mode + const String SERVER_URL="SERVER URL HERE"; + String serverURL = SERVER_URL; // Get stored server URL, if any + // String serverURL = preferences.getString("server_url", ""); // Get stored server URL, if any + preferences.end(); // Close the Preferences + + if (!serverURL.isEmpty()) { + Serial.println("Trying to reconnect to server with stored URL: " + serverURL); + // Attempt to connect to the server using the stored URL + if (connectTo01OS(serverURL)) { + Serial.println("Reconnected to server using stored URL."); + } else { + Serial.println("Failed to reconnect to server. Proceeding with normal startup."); + // Proceed with your normal startup routine, possibly involving user input to get a new URL + } + } else { + Serial.println("No stored server URL. Proceeding with normal startup."); + // Normal startup routine + } +} +// ----------------------- END OF WIFI CAPTIVE PORTAL ------------------- + +// ----------------------- START OF PLAYBACK ------------------- + +#define CONFIG_I2S_BCK_PIN 19 +#define CONFIG_I2S_LRCK_PIN 33 +#define CONFIG_I2S_DATA_PIN 22 +#define CONFIG_I2S_DATA_IN_PIN 23 +#define SPEAKER_I2S_NUMBER I2S_NUM_0 +#define MODE_MIC 0 +#define MODE_SPK 1 +#define DATA_SIZE 1024 + +#define MAX_DATA_LEN (1024 * 9) + +#define MIC_SAMPLE_RATE 16000 +#define SPEAKER_SAMPLE_RATE 24000 // set to 24000 for Coqui (local) or 22050 for OpenAI TTS + +uint8_t microphonedata0[1024 * 10]; +uint8_t speakerdata0[1024 * 1]; +int speaker_offset; +int data_offset; + +bool recording = false; +WebSocketsClient webSocket; + +class ButtonChecker +{ +public: + void loop() + { + lastTickState = thisTickState; + thisTickState = M5.Btn.isPressed() != 0; + } + + bool justPressed() + { + return thisTickState && !lastTickState; + } + + bool justReleased() + { + return !thisTickState && lastTickState; + } + +private: + bool lastTickState = false; + bool thisTickState = false; +}; + +ButtonChecker button = ButtonChecker(); + +void InitI2SSpeakerOrMic(int mode) +{ + Serial.printf("InitI2sSpeakerOrMic %d\n", mode); + esp_err_t err = ESP_OK; + + i2s_driver_uninstall(SPEAKER_I2S_NUMBER); + i2s_config_t i2s_config = { + .mode = (i2s_mode_t)(I2S_MODE_MASTER), + .bits_per_sample = + I2S_BITS_PER_SAMPLE_16BIT, // is fixed at 12bit, stereo, MSB + .channel_format = I2S_CHANNEL_FMT_ALL_RIGHT, +#if ESP_IDF_VERSION > ESP_IDF_VERSION_VAL(4, 1, 0) + .communication_format = + I2S_COMM_FORMAT_STAND_I2S, // Set the format of the communication. +#else + .communication_format = I2S_COMM_FORMAT_I2S, +#endif + .intr_alloc_flags = ESP_INTR_FLAG_LEVEL1, + .dma_buf_count = 6, + .dma_buf_len = 60, + }; + if (mode == MODE_MIC) + { + i2s_config.mode = + (i2s_mode_t)(I2S_MODE_MASTER | I2S_MODE_RX | I2S_MODE_PDM); + i2s_config.sample_rate = MIC_SAMPLE_RATE; + i2s_config.dma_buf_count = 8; + i2s_config.dma_buf_len = 240; + } + else + { + i2s_config.mode = (i2s_mode_t)(I2S_MODE_MASTER | I2S_MODE_TX); + i2s_config.use_apll = false; + i2s_config.tx_desc_auto_clear = true; + i2s_config.sample_rate = SPEAKER_SAMPLE_RATE; + } + + err += i2s_driver_install(SPEAKER_I2S_NUMBER, &i2s_config, 0, NULL); + i2s_pin_config_t tx_pin_config; + +#if (ESP_IDF_VERSION > ESP_IDF_VERSION_VAL(4, 3, 0)) + tx_pin_config.mck_io_num = I2S_PIN_NO_CHANGE; +#endif + tx_pin_config.bck_io_num = CONFIG_I2S_BCK_PIN; + tx_pin_config.ws_io_num = CONFIG_I2S_LRCK_PIN; + tx_pin_config.data_out_num = CONFIG_I2S_DATA_PIN; + tx_pin_config.data_in_num = CONFIG_I2S_DATA_IN_PIN; + err += i2s_set_pin(SPEAKER_I2S_NUMBER, &tx_pin_config); + err += i2s_set_clk(SPEAKER_I2S_NUMBER, + (mode == MODE_MIC) ? MIC_SAMPLE_RATE : SPEAKER_SAMPLE_RATE, // set the sample rate here as well + I2S_BITS_PER_SAMPLE_16BIT, + I2S_CHANNEL_MONO); +} + +void speaker_play(uint8_t *payload, uint32_t len) +{ + Serial.printf("received %lu bytes", len); + size_t bytes_written; + InitI2SSpeakerOrMic(MODE_SPK); + i2s_write(SPEAKER_I2S_NUMBER, payload, len, + &bytes_written, portMAX_DELAY); +} + +void webSocketEvent(WStype_t type, uint8_t *payload, size_t length) +{ + switch (type) + { + case WStype_DISCONNECTED: + Serial.printf("[WSc] Disconnected!\n"); + break; + case WStype_CONNECTED: + Serial.printf("[WSc] Connected to url: %s\n", payload); + + // send message to server when Connected + break; + case WStype_TEXT: + Serial.printf("[WSc] get text: %s\n", payload); + { + std::string str(payload, payload + length); + bool isAudio = str.find("\"audio\"") != std::string::npos; + if (isAudio && str.find("\"start\"") != std::string::npos) + { + Serial.println("start playback"); + speaker_offset = 0; + InitI2SSpeakerOrMic(MODE_SPK); + } + else if (isAudio && str.find("\"end\"") != std::string::npos) + { + Serial.println("end playback"); + // speaker_play(speakerdata0, speaker_offset); + // speaker_offset = 0; + } + } + // send message to server + // webSocket.sendTXT("message here"); + break; + case WStype_BIN: + Serial.printf("[WSc] get binary length: %u\n", length); + memcpy(speakerdata0 + speaker_offset, payload, length); + speaker_offset += length; + size_t bytes_written; + i2s_write(SPEAKER_I2S_NUMBER, speakerdata0, speaker_offset, &bytes_written, portMAX_DELAY); + speaker_offset = 0; + + // send data to server + // webSocket.sendBIN(payload, length); + break; + case WStype_ERROR: + case WStype_FRAGMENT_TEXT_START: + case WStype_FRAGMENT_BIN_START: + case WStype_FRAGMENT: + case WStype_FRAGMENT_FIN: + break; + } +} + +void websocket_setup(String server_domain, int port) +{ + if (WiFi.status() != WL_CONNECTED) + { + Serial.println("Not connected to WiFi. Abandoning setup websocket"); + return; + } + Serial.println("connected to WiFi"); + webSocket.begin(server_domain, port, "/"); + webSocket.onEvent(webSocketEvent); + // webSocket.setAuthorization("user", "Password"); + webSocket.setReconnectInterval(5000); +} + +void flush_microphone() +{ + Serial.printf("[microphone] flushing and sending %d bytes of data\n", data_offset); + if (data_offset == 0) + return; + webSocket.sendBIN(microphonedata0, data_offset); + data_offset = 0; +} + +void audio_recording_task(void *arg) { + while (1) { + if (recording) { + Serial.printf("Reading chunk at %d...\n", data_offset); + size_t bytes_read; + i2s_read( + SPEAKER_I2S_NUMBER, + (char *)(microphonedata0 + data_offset), + DATA_SIZE, &bytes_read, (100 / portTICK_RATE_MS)); + data_offset += bytes_read; + Serial.printf("Read %d bytes in chunk.\n", bytes_read); + + // Only send here + if (data_offset > MAX_DATA_LEN) + { + flush_microphone(); + delay(10); + } + } + else { + delay(100); // Wait for recording event + } + } +} + +// ----------------------- END OF PLAYBACK ------------------- + +bool hasSetupWebsocket = false; +bool isServerURLStored() { + preferences.begin("network", true); // Open Preferences with the "network" namespace in ReadOnly mode + String serverURL = preferences.getString("server_url", ""); // Get stored server URL, if any + preferences.end(); // Close the Preferences + return !serverURL.isEmpty(); +} +void setup() { + Serial.begin(115200); // Initialize serial communication at 115200 baud rate. + // Attempt to reconnect to WiFi using stored credentials. + // Check if WiFi is connected but the server URL isn't stored + + Serial.setTxBufferSize(1024); // Set the transmit buffer size for the Serial object. + + WiFi.mode(WIFI_AP_STA); // Set WiFi mode to both AP and STA. + const String WIFI_NAME="WIFI NAME HERE"; + const String WIFI_PASSWORD="WIFI PASSWORD HERE"; + // delay(100); // Short delay to ensure mode change takes effect + // WiFi.softAPConfig(localIP, gatewayIP, subnetMask); + // WiFi.softAP(ssid, password); + // startSoftAccessPoint(ssid, password, localIP, gatewayIP); + connectToWifi(WIFI_NAME, WIFI_PASSWORD); + setUpDNSServer(dnsServer, localIP); + tryReconnectToServer(); + + // setUpWebserver(server, localIP); + // tryReconnectWiFi(); + // Print a welcome message to the Serial port. + Serial.println("\n\nCaptive Test, V0.5.0 compiled " __DATE__ " " __TIME__ " by CD_FER"); + Serial.printf("%s-%d\n\r", ESP.getChipModel(), ESP.getChipRevision()); + + // If WiFi reconnect fails, start the soft access point for the captive portal. + if (WiFi.status() != WL_CONNECTED) { + startSoftAccessPoint(ssid, password, localIP, gatewayIP); + setUpDNSServer(dnsServer, localIP); + WiFi.scanNetworks(true); // Start scanning for networks in preparation for the captive portal. + setUpWebserver(server, localIP); // Set up the web server for the captive portal. + } + + server.begin(); // Begin the web server. + + Serial.print("\nStartup Time:"); + Serial.println(millis()); + Serial.print("\n"); + + M5.begin(true, false, true); // Initialize M5Stack Atom board. + M5.dis.drawpix(0, CRGB(255, 0, 50)); // Set the display color. + + xTaskCreate(audio_recording_task, "AUDIO", 4096, NULL, 4, NULL); // Create a task for audio recording. +} + +void loop() +{ + // Don't use delay here, should use elapsed time + uint32_t last_dns_ms = 0; + if ((millis() - last_dns_ms) > DNS_INTERVAL) { + last_dns_ms = millis(); // seems to help with stability, if you are doing other things in the loop this may not be needed + dnsServer.processNextRequest(); // I call this atleast every 10ms in my other projects (can be higher but I haven't tested it for stability) + } + + // Check WiFi connection status + if (WiFi.status() == WL_CONNECTED && !hasSetupWebsocket) + { + if (server_domain != "") + { + Serial.println("Setting up websocket to 01OS " + server_domain + ":" + server_port); + websocket_setup(server_domain, server_port); + InitI2SSpeakerOrMic(MODE_SPK); + + hasSetupWebsocket = true; + M5.dis.drawpix(0, CRGB(0, 128, 150)); + + Serial.println("Websocket connection flow completed"); + } + } + + if (WiFi.status() == WL_CONNECTED && hasSetupWebsocket) + { + button.loop(); + if (button.justPressed()) + { + Serial.println("Recording..."); + webSocket.sendTXT("{\"role\": \"user\", \"type\": \"audio\", \"format\": \"bytes.raw\", \"start\": true}"); + InitI2SSpeakerOrMic(MODE_MIC); + recording = true; + data_offset = 0; + Serial.println("Recording ready."); + } + else if (button.justReleased()) + { + Serial.println("Stopped recording."); + webSocket.sendTXT("{\"role\": \"user\", \"type\": \"audio\", \"format\": \"bytes.raw\", \"end\": true}"); + flush_microphone(); + recording = false; + data_offset = 0; + } + + M5.update(); + webSocket.loop(); + } +} diff --git a/software/source/clients/mobile/react-native/package-lock.json b/software/source/clients/mobile/react-native/package-lock.json index 1119f5d..47618dc 100644 --- a/software/source/clients/mobile/react-native/package-lock.json +++ b/software/source/clients/mobile/react-native/package-lock.json @@ -10,25 +10,25 @@ "dependencies": { "@react-navigation/native": "^6.1.14", "@react-navigation/native-stack": "^6.9.22", - 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Please use @babel/plugin-transform-logical-assignment-operators instead.", - "dependencies": { - "@babel/helper-plugin-utils": "^7.20.2", - "@babel/plugin-syntax-logical-assignment-operators": "^7.10.4" - }, - "engines": { - "node": ">=6.9.0" - }, - "peerDependencies": { - "@babel/core": "^7.0.0-0" - } - }, "node_modules/@babel/plugin-proposal-nullish-coalescing-operator": { "version": "7.18.6", "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-nullish-coalescing-operator/-/plugin-proposal-nullish-coalescing-operator-7.18.6.tgz", @@ -645,7 +625,6 @@ "version": "7.21.0-placeholder-for-preset-env.2", "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-private-property-in-object/-/plugin-proposal-private-property-in-object-7.21.0-placeholder-for-preset-env.2.tgz", "integrity": "sha512-SOSkfJDddaM7mak6cPEpswyTRnuRltl429hMraQEglW+OkovnCzsiszTmsrlY//qLFjCpQDFRvjdm2wA5pPm9w==", - "peer": true, "engines": { "node": ">=6.9.0" }, @@ -668,7 +647,6 @@ "version": "7.12.13", "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-class-properties/-/plugin-syntax-class-properties-7.12.13.tgz", "integrity": "sha512-fm4idjKla0YahUNgFNLCB0qySdsoPiZP3iQE3rky0mBUtMZ23yDJ9SJdg6dXTSDnulOVqiF3Hgr9nbXvXTQZYA==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.12.13" }, @@ -680,7 +658,6 @@ "version": "7.14.5", "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-class-static-block/-/plugin-syntax-class-static-block-7.14.5.tgz", "integrity": "sha512-b+YyPmr6ldyNnM6sqYeMWE+bgJcJpO6yS4QD7ymxgH34GBPNDM/THBh8iunyvKIZztiwLH4CJZ0RxTk9emgpjw==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.14.5" }, @@ -692,9 +669,9 @@ } }, "node_modules/@babel/plugin-syntax-decorators": { - "version": "7.24.1", - "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-decorators/-/plugin-syntax-decorators-7.24.1.tgz", - "integrity": "sha512-05RJdO/cCrtVWuAaSn1tS3bH8jbsJa/Y1uD186u6J4C/1mnHFxseeuWpsqr9anvo7TUulev7tm7GDwRV+VuhDw==", + "version": "7.24.0", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-decorators/-/plugin-syntax-decorators-7.24.0.tgz", + "integrity": "sha512-MXW3pQCu9gUiVGzqkGqsgiINDVYXoAnrY8FYF/rmb+OfufNF0zHMpHPN4ulRrinxYT8Vk/aZJxYqOKsDECjKAw==", "dependencies": { "@babel/helper-plugin-utils": "^7.24.0" }, @@ -759,7 +736,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-import-assertions/-/plugin-syntax-import-assertions-7.23.3.tgz", "integrity": "sha512-lPgDSU+SJLK3xmFDTV2ZRQAiM7UuUjGidwBywFavObCiZc1BeAAcMtHJKUya92hPHO+at63JJPLygilZard8jw==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5" }, @@ -774,7 +750,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-import-attributes/-/plugin-syntax-import-attributes-7.23.3.tgz", "integrity": "sha512-pawnE0P9g10xgoP7yKr6CK63K2FMsTE+FZidZO/1PwRdzmAPVs+HS1mAURUsgaoxammTJvULUdIkEK0gOcU2tA==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5" }, @@ -789,7 +764,6 @@ "version": "7.10.4", "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-import-meta/-/plugin-syntax-import-meta-7.10.4.tgz", "integrity": "sha512-Yqfm+XDx0+Prh3VSeEQCPU81yC+JWZ2pDPFSS4ZdpfZhp4MkFMaDC1UqseovEKwSUpnIL7+vK+Clp7bfh0iD7g==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.10.4" }, @@ -801,7 +775,6 @@ "version": "7.8.3", "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-json-strings/-/plugin-syntax-json-strings-7.8.3.tgz", "integrity": "sha512-lY6kdGpWHvjoe2vk4WrAapEuBR69EMxZl+RoGRhrFGNYVK8mOPAW8VfbT/ZgrFbXlDNiiaxQnAtgVCZ6jv30EA==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.8.0" }, @@ -907,7 +880,6 @@ "version": "7.14.5", "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-top-level-await/-/plugin-syntax-top-level-await-7.14.5.tgz", "integrity": 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"@babel/helper-plugin-utils": "^7.22.5", @@ -1000,7 +970,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-block-scoped-functions/-/plugin-transform-block-scoped-functions-7.23.3.tgz", "integrity": "sha512-vI+0sIaPIO6CNuM9Kk5VmXcMVRiOpDh7w2zZt9GXzmE/9KD70CUEVhvPR/etAeNK/FAEkhxQtXOzVF3EuRL41A==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5" }, @@ -1029,7 +998,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-class-properties/-/plugin-transform-class-properties-7.23.3.tgz", "integrity": "sha512-uM+AN8yCIjDPccsKGlw271xjJtGii+xQIF/uMPS8H15L12jZTsLfF4o5vNO7d/oUguOyfdikHGc/yi9ge4SGIg==", - "peer": true, "dependencies": { "@babel/helper-create-class-features-plugin": "^7.22.15", "@babel/helper-plugin-utils": "^7.22.5" @@ -1045,7 +1013,6 @@ "version": "7.23.4", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-class-static-block/-/plugin-transform-class-static-block-7.23.4.tgz", "integrity": "sha512-nsWu/1M+ggti1SOALj3hfx5FXzAY06fwPJsUZD4/A5e1bWi46VUIWtD+kOX6/IdhXGsXBWllLFDSnqSCdUNydQ==", - "peer": true, "dependencies": { "@babel/helper-create-class-features-plugin": "^7.22.15", "@babel/helper-plugin-utils": "^7.22.5", @@ -1112,7 +1079,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-dotall-regex/-/plugin-transform-dotall-regex-7.23.3.tgz", "integrity": "sha512-vgnFYDHAKzFaTVp+mneDsIEbnJ2Np/9ng9iviHw3P/KVcgONxpNULEW/51Z/BaFojG2GI2GwwXck5uV1+1NOYQ==", - "peer": true, "dependencies": { "@babel/helper-create-regexp-features-plugin": "^7.22.15", "@babel/helper-plugin-utils": "^7.22.5" @@ -1128,7 +1094,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-duplicate-keys/-/plugin-transform-duplicate-keys-7.23.3.tgz", "integrity": "sha512-RrqQ+BQmU3Oyav3J+7/myfvRCq7Tbz+kKLLshUmMwNlDHExbGL7ARhajvoBJEvc+fCguPPu887N+3RRXBVKZUA==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5" }, @@ -1143,7 +1108,6 @@ "version": "7.23.4", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-dynamic-import/-/plugin-transform-dynamic-import-7.23.4.tgz", "integrity": "sha512-V6jIbLhdJK86MaLh4Jpghi8ho5fGzt3imHOBu/x0jlBaPYqDoWz4RDXjmMOfnh+JWNaQleEAByZLV0QzBT4YQQ==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5", "@babel/plugin-syntax-dynamic-import": "^7.8.3" @@ -1159,7 +1123,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-exponentiation-operator/-/plugin-transform-exponentiation-operator-7.23.3.tgz", "integrity": "sha512-5fhCsl1odX96u7ILKHBj4/Y8vipoqwsJMh4csSA8qFfxrZDEA4Ssku2DyNvMJSmZNOEBT750LfFPbtrnTP90BQ==", - "peer": true, "dependencies": { "@babel/helper-builder-binary-assignment-operator-visitor": "^7.22.15", "@babel/helper-plugin-utils": "^7.22.5" @@ -1205,7 +1168,6 @@ "version": "7.23.6", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-for-of/-/plugin-transform-for-of-7.23.6.tgz", "integrity": "sha512-aYH4ytZ0qSuBbpfhuofbg/e96oQ7U2w1Aw/UQmKT+1l39uEhUPoFS3fHevDc1G0OvewyDudfMKY1OulczHzWIw==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5", "@babel/helper-skip-transparent-expression-wrappers": "^7.22.5" @@ -1237,7 +1199,6 @@ "version": "7.23.4", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-json-strings/-/plugin-transform-json-strings-7.23.4.tgz", "integrity": "sha512-81nTOqM1dMwZ/aRXQ59zVubN9wHGqk6UtqRK+/q+ciXmRy8fSolhGVvG09HHRGo4l6fr/c4ZhXUQH0uFW7PZbg==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5", "@babel/plugin-syntax-json-strings": "^7.8.3" @@ -1267,7 +1228,6 @@ "version": "7.23.4", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-logical-assignment-operators/-/plugin-transform-logical-assignment-operators-7.23.4.tgz", "integrity": "sha512-Mc/ALf1rmZTP4JKKEhUwiORU+vcfarFVLfcFiolKUo6sewoxSEgl36ak5t+4WamRsNr6nzjZXQjM35WsU+9vbg==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5", "@babel/plugin-syntax-logical-assignment-operators": "^7.10.4" @@ -1283,7 +1243,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-member-expression-literals/-/plugin-transform-member-expression-literals-7.23.3.tgz", "integrity": "sha512-sC3LdDBDi5x96LA+Ytekz2ZPk8i/Ck+DEuDbRAll5rknJ5XRTSaPKEYwomLcs1AA8wg9b3KjIQRsnApj+q51Ag==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5" }, @@ -1298,7 +1257,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-amd/-/plugin-transform-modules-amd-7.23.3.tgz", "integrity": 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"@babel/helper-plugin-utils": "^7.22.5" @@ -1379,7 +1335,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-new-target/-/plugin-transform-new-target-7.23.3.tgz", "integrity": "sha512-YJ3xKqtJMAT5/TIZnpAR3I+K+WaDowYbN3xyxI8zxx/Gsypwf9B9h0VB+1Nh6ACAAPRS5NSRje0uVv5i79HYGQ==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5" }, @@ -1394,7 +1349,6 @@ "version": "7.23.4", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-nullish-coalescing-operator/-/plugin-transform-nullish-coalescing-operator-7.23.4.tgz", "integrity": "sha512-jHE9EVVqHKAQx+VePv5LLGHjmHSJR76vawFPTdlxR/LVJPfOEGxREQwQfjuZEOPTwG92X3LINSh3M40Rv4zpVA==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5", "@babel/plugin-syntax-nullish-coalescing-operator": "^7.8.3" @@ -1410,7 +1364,6 @@ "version": "7.23.4", "resolved": 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"@babel/helper-plugin-utils": "^7.22.5" }, @@ -1551,11 +1500,11 @@ } }, "node_modules/@babel/plugin-transform-react-display-name": { - "version": "7.24.1", - "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-display-name/-/plugin-transform-react-display-name-7.24.1.tgz", - "integrity": "sha512-mvoQg2f9p2qlpDQRBC7M3c3XTr0k7cp/0+kFKKO/7Gtu0LSw16eKB+Fabe2bDT/UpsyasTBBkAnbdsLrkD5XMw==", + "version": "7.23.3", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-display-name/-/plugin-transform-react-display-name-7.23.3.tgz", + "integrity": "sha512-GnvhtVfA2OAtzdX58FJxU19rhoGeQzyVndw3GgtdECQvQFXPEZIOVULHVZGAYmOgmqjXpVpfocAbSjh99V/Fqw==", "dependencies": { - "@babel/helper-plugin-utils": "^7.24.0" + "@babel/helper-plugin-utils": "^7.22.5" }, "engines": { "node": ">=6.9.0" @@ -1625,12 +1574,12 @@ } }, "node_modules/@babel/plugin-transform-react-pure-annotations": { - "version": "7.24.1", - "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-pure-annotations/-/plugin-transform-react-pure-annotations-7.24.1.tgz", - "integrity": "sha512-+pWEAaDJvSm9aFvJNpLiM2+ktl2Sn2U5DdyiWdZBxmLc6+xGt88dvFqsHiAiDS+8WqUwbDfkKz9jRxK3M0k+kA==", + "version": "7.23.3", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-pure-annotations/-/plugin-transform-react-pure-annotations-7.23.3.tgz", + "integrity": "sha512-qMFdSS+TUhB7Q/3HVPnEdYJDQIk57jkntAwSuz9xfSE4n+3I+vHYCli3HoHawN1Z3RfCz/y1zXA/JXjG6cVImQ==", "dependencies": { "@babel/helper-annotate-as-pure": "^7.22.5", - "@babel/helper-plugin-utils": "^7.24.0" + "@babel/helper-plugin-utils": "^7.22.5" }, "engines": { "node": ">=6.9.0" @@ -1643,7 +1592,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-regenerator/-/plugin-transform-regenerator-7.23.3.tgz", "integrity": "sha512-KP+75h0KghBMcVpuKisx3XTu9Ncut8Q8TuvGO4IhY+9D5DFEckQefOuIsB/gQ2tG71lCke4NMrtIPS8pOj18BQ==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5", "regenerator-transform": "^0.15.2" @@ -1659,7 +1607,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-reserved-words/-/plugin-transform-reserved-words-7.23.3.tgz", "integrity": "sha512-QnNTazY54YqgGxwIexMZva9gqbPa15t/x9VS+0fsEFWplwVpXYZivtgl43Z1vMpc1bdPP2PP8siFeVcnFvA3Cg==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5" }, @@ -1736,7 +1683,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-template-literals/-/plugin-transform-template-literals-7.23.3.tgz", "integrity": "sha512-Flok06AYNp7GV2oJPZZcP9vZdszev6vPBkHLwxwSpaIqx75wn6mUd3UFWsSsA0l8nXAKkyCmL/sR02m8RYGeHg==", - "peer": true, "dependencies": { "@babel/helper-plugin-utils": "^7.22.5" }, @@ -1751,7 +1697,6 @@ "version": "7.23.3", "resolved": "https://registry.npmjs.org/@babel/plugin-transform-typeof-symbol/-/plugin-transform-typeof-symbol-7.23.3.tgz", "integrity": 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b/software/source/clients/mobile/react-native/package.json @@ -12,25 +12,25 @@ "dependencies": { "@react-navigation/native": "^6.1.14", "@react-navigation/native-stack": "^6.9.22", - "expo": "~51.0.8", - "expo-av": "~14.0.5", - "expo-barcode-scanner": "~13.0.1", - "expo-camera": "~15.0.9", - "expo-haptics": "~13.0.1", + "expo": "~50.0.8", + "expo-av": "~13.10.5", + "expo-barcode-scanner": "~12.9.3", + "expo-camera": "~14.0.5", + "expo-haptics": "~12.8.1", "expo-permissions": "^14.4.0", - "expo-status-bar": "~1.12.1", + "expo-status-bar": "~1.11.1", "react": "18.2.0", - "react-native": "0.74.1", + "react-native": "0.73.4", "react-native-base64": "^0.2.1", "react-native-polyfill-globals": "^3.1.0", - "react-native-safe-area-context": "4.10.1", - "react-native-screens": "~3.31.1", + "react-native-safe-area-context": "4.8.2", + "react-native-screens": "~3.29.0", "text-encoding": "^0.7.0", "zustand": "^4.5.2" }, "devDependencies": { "@babel/core": "^7.20.0", - "@types/react": "~18.2.79", + "@types/react": "~18.2.45", "@types/react-native-base64": "^0.2.2", "typescript": "^5.1.3" }, diff --git a/software/source/clients/mobile/react-native/src/screens/Camera.tsx b/software/source/clients/mobile/react-native/src/screens/Camera.tsx index f2cb1a8..9a5d902 100644 --- a/software/source/clients/mobile/react-native/src/screens/Camera.tsx +++ b/software/source/clients/mobile/react-native/src/screens/Camera.tsx @@ -1,13 +1,12 @@ import React, { useState } from "react"; import { StyleSheet, Text, TouchableOpacity, View } from "react-native"; -import { CameraView, useCameraPermissions } from "expo-camera"; +import { Camera } from "expo-camera"; import { useNavigation } from "@react-navigation/native"; import { BarCodeScanner } from "expo-barcode-scanner"; // import useSoundEffect from "../lib/useSoundEffect"; export default function CameraScreen() { - const [permission, requestPermission] = useCameraPermissions(); - + const [permission, requestPermission] = Camera.useCameraPermissions(); // const playYay = useSoundEffect(require("../../assets/yay.wav")); const [scanned, setScanned] = useState(false); @@ -52,12 +51,12 @@ export default function CameraScreen() { }; return ( - @@ -75,7 +74,7 @@ export default function CameraScreen() { )} - + ); } diff --git a/software/source/clients/mobile/react-native/src/screens/Main.tsx b/software/source/clients/mobile/react-native/src/screens/Main.tsx index 5574eb3..1ddc888 100644 --- a/software/source/clients/mobile/react-native/src/screens/Main.tsx +++ b/software/source/clients/mobile/react-native/src/screens/Main.tsx @@ -5,6 +5,7 @@ import { TouchableOpacity, StyleSheet, BackHandler, + ScrollView, } from "react-native"; import * as FileSystem from "expo-file-system"; import { Audio } from "expo-av"; @@ -52,7 +53,30 @@ const Main: React.FC = ({ route }) => { inputRange: [0, 1], outputRange: ["white", "black"], }); + const [accumulatedMessage, setAccumulatedMessage] = useState(""); + const scrollViewRef = useRef(null); + /** + * Checks if audioDir exists in device storage, if not creates it. + */ + async function dirExists() { + try { + const dirInfo = await FileSystem.getInfoAsync(audioDir); + if (!dirInfo.exists) { + console.error("audio directory doesn't exist, creating..."); + await FileSystem.makeDirectoryAsync(audioDir, { intermediates: true }); + } + } catch (error) { + console.error("Error checking or creating directory:", error); + } + } + + /** + * Writes the buffer to a temp file in audioDir in base64 encoding. + * + * @param {string} buffer + * @returns tempFilePath or null + */ const constructTempFilePath = async (buffer: string) => { try { await dirExists(); @@ -73,21 +97,10 @@ const Main: React.FC = ({ route }) => { } }; - async function dirExists() { - /** - * Checks if audio directory exists in device storage, if not creates it. - */ - try { - const dirInfo = await FileSystem.getInfoAsync(audioDir); - if (!dirInfo.exists) { - console.error("audio directory doesn't exist, creating..."); - await FileSystem.makeDirectoryAsync(audioDir, { intermediates: true }); - } - } catch (error) { - console.error("Error checking or creating directory:", error); - } - } - + /** + * Plays the next audio in audioQueue if the queue is not empty + * and there is no currently playing audio. + */ const playNextAudio = useCallback(async () => { if (audioQueueRef.current.length > 0 && soundRef.current == null) { const uri = audioQueueRef.current.at(0) as string; @@ -107,6 +120,11 @@ const Main: React.FC = ({ route }) => { } },[]); + /** + * Queries the currently playing Expo Audio.Sound object soundRef + * for playback status. When the status denotes soundRef has finished + * playback, we unload the sound and call playNextAudio(). + */ const _onPlayBackStatusUpdate = useCallback( async (status: any) => { if (status.didJustFinish) { @@ -121,6 +139,9 @@ const Main: React.FC = ({ route }) => { } },[]); + /** + * Single swipe to return to the Home screen from the Main page. + */ useEffect(() => { const backAction = () => { navigation.navigate("Home"); // Always navigate back to Home @@ -136,6 +157,9 @@ const Main: React.FC = ({ route }) => { return () => backHandler.remove(); }, [navigation]); + /** + * Handles all WebSocket events + */ useEffect(() => { let websocket: WebSocket; try { @@ -151,6 +175,10 @@ const Main: React.FC = ({ route }) => { websocket.onmessage = async (e) => { try { const message = JSON.parse(e.data); + if (message.content && message.type == "message" && message.role == "assistant"){ + setAccumulatedMessage((prevMessage) => prevMessage + message.content); + scrollViewRef.current?.scrollToEnd({ animated: true }); + } if (message.content && message.type == "audio") { const buffer = message.content; @@ -198,7 +226,18 @@ const Main: React.FC = ({ route }) => { return ( - + + + + {accumulatedMessage} + + + + = ({ route }) => { buttonBackgroundColor={buttonBackgroundColor} setIsPressed={setIsPressed} /> + + { @@ -238,39 +279,7 @@ const Main: React.FC = ({ route }) => { const styles = StyleSheet.create({ container: { flex: 1, - position: "relative", }, - middle: { - flex: 1, - justifyContent: "center", - alignItems: "center", - padding: 10, - position: "relative", - }, - circle: { - width: 100, - height: 100, - borderRadius: 50, - justifyContent: "center", - alignItems: "center", - }, - qr: { - position: "absolute", - top: 30, - left: 10, - padding: 10, - zIndex: 100, - }, - icon: { - height: 40, - width: 40, - }, - topBar: { - height: 40, - backgroundColor: "#000", - paddingTop: 50, - }, - statusText: { fontSize: 12, fontWeight: "bold", @@ -280,6 +289,22 @@ const styles = StyleSheet.create({ bottom: 20, alignSelf: "center", }, + accumulatedMessage: { + margin: 20, + fontSize: 15, + textAlign: "left", + color: "white", + paddingBottom: 30, + fontFamily: "monospace", + }, + scrollViewContent: { + padding: 25, + width: "90%", + maxHeight: "80%", + borderWidth: 5, + borderColor: "white", + borderRadius: 10, + }, }); export default Main; diff --git a/software/source/server/async_interpreter.py b/software/source/server/async_interpreter.py new file mode 100644 index 0000000..03a4249 --- /dev/null +++ b/software/source/server/async_interpreter.py @@ -0,0 +1,220 @@ +# This is a websocket interpreter, TTS and STT disabled. +# It makes a websocket on port 8000 that sends/recieves LMC messages in *streaming* format. + +### You MUST send a start and end flag with each message! For example: ### + +""" +{"role": "user", "type": "message", "start": True}) +{"role": "user", "type": "message", "content": "hi"}) +{"role": "user", "type": "message", "end": True}) +""" + +### +from pynput import keyboard +from .utils.bytes_to_wav import bytes_to_wav +from RealtimeTTS import TextToAudioStream, CoquiEngine, OpenAIEngine, ElevenlabsEngine +from RealtimeSTT import AudioToTextRecorder +import time +import asyncio +import json +import os + + +class AsyncInterpreter: + def __init__(self, interpreter): + self.interpreter = interpreter + self.audio_chunks = [] + + # STT + self.stt = AudioToTextRecorder( + model="tiny.en", spinner=False, use_microphone=False + ) + + self.stt.stop() # It needs this for some reason + + # TTS + if self.interpreter.tts == "coqui": + engine = CoquiEngine() + elif self.interpreter.tts == "openai": + engine = OpenAIEngine() + elif self.interpreter.tts == "elevenlabs": + engine = ElevenlabsEngine(api_key=os.environ["ELEVEN_LABS_API_KEY"]) + engine.set_voice("Michael") + else: + raise ValueError(f"Unsupported TTS engine: {self.interpreter.tts}") + self.tts = TextToAudioStream(engine) + + self.active_chat_messages = [] + + self._input_queue = asyncio.Queue() # Queue that .input will shove things into + self._output_queue = asyncio.Queue() # Queue to put output chunks into + self._last_lmc_start_flag = None # Unix time of last LMC start flag recieved + self._in_keyboard_write_block = ( + False # Tracks whether interpreter is trying to use the keyboard + ) + self.loop = asyncio.get_event_loop() + + async def _add_to_queue(self, queue, item): + await queue.put(item) + + async def clear_queue(self, queue): + while not queue.empty(): + await queue.get() + + async def clear_input_queue(self): + await self.clear_queue(self._input_queue) + + async def clear_output_queue(self): + await self.clear_queue(self._output_queue) + + async def input(self, chunk): + """ + Expects a chunk in streaming LMC format. + """ + if isinstance(chunk, bytes): + # It's probably a chunk of audio + self.stt.feed_audio(chunk) + self.audio_chunks.append(chunk) + # print("INTERPRETER FEEDING AUDIO") + + else: + + try: + chunk = json.loads(chunk) + except: + pass + + if "start" in chunk: + # print("Starting STT") + self.stt.start() + self._last_lmc_start_flag = time.time() + # self.interpreter.computer.terminal.stop() # Stop any code execution... maybe we should make interpreter.stop()? + elif "end" in chunk: + # print("Running OI on input") + asyncio.create_task(self.run()) + else: + await self._add_to_queue(self._input_queue, chunk) + + def add_to_output_queue_sync(self, chunk): + """ + Synchronous function to add a chunk to the output queue. + """ + # print("ADDING TO QUEUE:", chunk) + asyncio.create_task(self._add_to_queue(self._output_queue, chunk)) + + def generate(self, message, start_interpreter): + last_lmc_start_flag = self._last_lmc_start_flag + self.interpreter.messages = self.active_chat_messages + + # print("message is", message) + + for chunk in self.interpreter.chat(message, display=True, stream=True): + + if self._last_lmc_start_flag != last_lmc_start_flag: + # self.beeper.stop() + break + + # self.add_to_output_queue_sync(chunk) # To send text, not just audio + + content = chunk.get("content") + + # Handle message blocks + if chunk.get("type") == "message": + if content: + # self.beeper.stop() + + # Experimental: The AI voice sounds better with replacements like these, but it should happen at the TTS layer + # content = content.replace(". ", ". ... ").replace(", ", ", ... ").replace("!", "! ... ").replace("?", "? ... ") + # print("yielding ", content) + + yield content + + # Handle code blocks + elif chunk.get("type") == "code": + if "start" in chunk: + # self.beeper.start() + pass + + # Experimental: If the AI wants to type, we should type immediatly + if ( + self.interpreter.messages[-1] + .get("content", "") + .startswith("computer.keyboard.write(") + ): + keyboard.controller.type(content) + self._in_keyboard_write_block = True + if "end" in chunk and self._in_keyboard_write_block: + self._in_keyboard_write_block = False + # (This will make it so it doesn't type twice when the block executes) + if self.interpreter.messages[-1]["content"].startswith( + "computer.keyboard.write(" + ): + self.interpreter.messages[-1]["content"] = ( + "dummy_variable = (" + + self.interpreter.messages[-1]["content"][ + len("computer.keyboard.write(") : + ] + ) + + # Send a completion signal + # self.add_to_output_queue_sync({"role": "server","type": "completion", "content": "DONE"}) + + async def run(self): + """ + Runs OI on the audio bytes submitted to the input. Will add streaming LMC chunks to the _output_queue. + """ + self.interpreter.messages = self.active_chat_messages + + self.stt.stop() + + input_queue = [] + while not self._input_queue.empty(): + input_queue.append(self._input_queue.get()) + + message = self.stt.text() + + if self.audio_chunks: + audio_bytes = bytearray(b"".join(self.audio_chunks)) + wav_file_path = bytes_to_wav(audio_bytes, "audio/raw") + print("wav_file_path ", wav_file_path) + self.audio_chunks = [] + + print(message) + + # Feed generate to RealtimeTTS + self.add_to_output_queue_sync( + {"role": "assistant", "type": "audio", "format": "bytes.wav", "start": True} + ) + start_interpreter = time.time() + text_iterator = self.generate(message, start_interpreter) + + self.tts.feed(text_iterator) + if not self.tts.is_playing(): + self.tts.play_async(on_audio_chunk=self.on_tts_chunk, muted=True) + + while True: + await asyncio.sleep(0.1) + # print("is_playing", self.tts.is_playing()) + if not self.tts.is_playing(): + self.add_to_output_queue_sync( + { + "role": "assistant", + "type": "audio", + "format": "bytes.wav", + "end": True, + } + ) + self.tts.stop() + break + + async def _on_tts_chunk_async(self, chunk): + # print("adding chunk to queue") + await self._add_to_queue(self._output_queue, chunk) + + def on_tts_chunk(self, chunk): + # print("ye") + asyncio.run(self._on_tts_chunk_async(chunk)) + + async def output(self): + # print("outputting chunks") + return await self._output_queue.get() diff --git a/software/source/server/async_server.py b/software/source/server/async_server.py new file mode 100644 index 0000000..53f38ed --- /dev/null +++ b/software/source/server/async_server.py @@ -0,0 +1,102 @@ +# import from the profiles directory the interpreter to be served + +# add other profiles to the directory to define other interpreter instances and import them here +# {.profiles.fast: optimizes for STT/TTS latency with the fastest models } +# {.profiles.local: uses local models and local STT/TTS } +# {.profiles.default: uses default interpreter settings with optimized TTS latency } + +# from .profiles.fast import interpreter as base_interpreter +# from .profiles.local import interpreter as base_interpreter +from .profiles.default import interpreter as base_interpreter + +import asyncio +import traceback +import json +from fastapi import FastAPI, WebSocket +from fastapi.responses import PlainTextResponse +from uvicorn import Config, Server +from .async_interpreter import AsyncInterpreter +from fastapi.middleware.cors import CORSMiddleware +from typing import List, Dict, Any +import os + +os.environ["STT_RUNNER"] = "server" +os.environ["TTS_RUNNER"] = "server" + +# interpreter.tts set in the profiles directory!!!! +interpreter = AsyncInterpreter(base_interpreter) + +app = FastAPI() + +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], # Allow all methods (GET, POST, etc.) + allow_headers=["*"], # Allow all headers +) + + +@app.get("/ping") +async def ping(): + return PlainTextResponse("pong") + + +@app.websocket("/") +async def websocket_endpoint(websocket: WebSocket): + await websocket.accept() + + # Send the tts_service value to the client + await websocket.send_text( + json.dumps({"type": "config", "tts_service": interpreter.interpreter.tts}) + ) + + try: + + async def receive_input(): + while True: + if websocket.client_state == "DISCONNECTED": + break + + data = await websocket.receive() + + if isinstance(data, bytes): + await interpreter.input(data) + elif "bytes" in data: + await interpreter.input(data["bytes"]) + # print("RECEIVED INPUT", data) + elif "text" in data: + # print("RECEIVED INPUT", data) + await interpreter.input(data["text"]) + + async def send_output(): + while True: + output = await interpreter.output() + + if isinstance(output, bytes): + # print(f"Sending {len(output)} bytes of audio data.") + await websocket.send_bytes(output) + # we dont send out bytes rn, no TTS + + elif isinstance(output, dict): + # print("sending text") + await websocket.send_text(json.dumps(output)) + + await asyncio.gather(send_output(), receive_input()) + except Exception as e: + print(f"WebSocket connection closed with exception: {e}") + traceback.print_exc() + finally: + if not websocket.client_state == "DISCONNECTED": + await websocket.close() + + +async def main(server_host, server_port): + print(f"Starting server on {server_host}:{server_port}") + config = Config(app, host=server_host, port=server_port, lifespan="on") + server = Server(config) + await server.serve() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/software/source/server/conftest.py b/software/source/server/conftest.py index b617231..badf160 100644 --- a/software/source/server/conftest.py +++ b/software/source/server/conftest.py @@ -1,8 +1,13 @@ +# tests currently hang after completion + +""" import pytest -from source.server.i import configure_interpreter -from interpreter import OpenInterpreter +import signal +import os +from .profiles.default import interpreter +from async_interpreter import AsyncInterpreter from fastapi.testclient import TestClient -from .server import app +from .async_server import app @pytest.fixture @@ -12,5 +17,20 @@ def client(): @pytest.fixture def mock_interpreter(): - interpreter = configure_interpreter(OpenInterpreter()) - return interpreter + async_interpreter = AsyncInterpreter(interpreter) + yield async_interpreter + async_interpreter.shutdown() + + +@pytest.fixture(scope="function", autouse=True) +def term_handler(): + + orig = signal.signal(signal.SIGTERM, signal.getsignal(signal.SIGINT)) + yield + signal.signal(signal.SIGTERM, orig) + + + yield + # Send SIGTERM signal to the current process and its children + os.kill(os.getpid(), signal.SIGTERM) +""" diff --git a/software/source/server/i.py b/software/source/server/i.py deleted file mode 100644 index bc792fd..0000000 --- a/software/source/server/i.py +++ /dev/null @@ -1,366 +0,0 @@ -from dotenv import load_dotenv -import os - -load_dotenv() # take environment variables from .env. - -import glob -import time -import json -from interpreter import OpenInterpreter -import shutil - - -system_message = r""" - -You are the 01, a screenless executive assistant that can complete any task. -When you execute code, it will be executed on the user's machine. The user has given you full and complete permission to execute any code necessary to complete the task. -Run any code to achieve the goal, and if at first you don't succeed, try again and again. -You can install new packages. -Be concise. Your messages are being read aloud to the user. DO NOT MAKE PLANS. RUN CODE QUICKLY. -Try to spread complex tasks over multiple code blocks. Don't try to complex tasks in one go. -Manually summarize text. - -DON'T TELL THE USER THE METHOD YOU'LL USE, OR MAKE PLANS. ACT LIKE THIS: - ---- -user: Are there any concerts in Seattle? -assistant: Let me check on that. -```python -computer.browser.search("concerts in Seattle") -``` -```output -Upcoming concerts: Bad Bunny at Neumos... -``` -It looks like there's a Bad Bunny concert at Neumos... ---- - -Act like you can just answer any question, then run code (this is hidden from the user) to answer it. -THE USER CANNOT SEE CODE BLOCKS. -Your responses should be very short, no more than 1-2 sentences long. -DO NOT USE MARKDOWN. ONLY WRITE PLAIN TEXT. - -# TASKS - -Help the user manage their tasks. -Store the user's tasks in a Python list called `tasks`. -The user's current task list (it might be empty) is: {{ tasks }} -When the user completes the current task, you should remove it from the list and read the next item by running `tasks = tasks[1:]\ntasks[0]`. Then, tell the user what the next task is. -When the user tells you about a set of tasks, you should intelligently order tasks, batch similar tasks, and break down large tasks into smaller tasks (for this, you should consult the user and get their permission to break it down). Your goal is to manage the task list as intelligently as possible, to make the user as efficient and non-overwhelmed as possible. They will require a lot of encouragement, support, and kindness. Don't say too much about what's ahead of them— just try to focus them on each step at a time. - -After starting a task, you should check in with the user around the estimated completion time to see if the task is completed. -To do this, schedule a reminder based on estimated completion time using the function `schedule(message="Your message here.", start="8am")`, WHICH HAS ALREADY BEEN IMPORTED. YOU DON'T NEED TO IMPORT THE `schedule` FUNCTION. IT IS AVAILABLE. You'll receive the message at the time you scheduled it. If the user says to monitor something, simply schedule it with an interval of a duration that makes sense for the problem by specifying an interval, like this: `schedule(message="Your message here.", interval="5m")` - - -If there are tasks, you should guide the user through their list one task at a time, convincing them to move forward, giving a pep talk if need be. - -# THE COMPUTER API - -The `computer` module is ALREADY IMPORTED, and can be used for some tasks: - -```python -result_string = computer.browser.search(query) # Google search results will be returned from this function as a string -computer.calendar.create_event(title="Meeting", start_date=datetime.datetime.now(), end_date=datetime.datetime.now() + datetime.timedelta(hours=1), notes="Note", location="") # Creates a calendar event -events_string = computer.calendar.get_events(start_date=datetime.date.today(), end_date=None) # Get events between dates. If end_date is None, only gets events for start_date -computer.calendar.delete_event(event_title="Meeting", start_date=datetime.datetime) # Delete a specific event with a matching title and start date, you may need to get use get_events() to find the specific event object first -phone_string = computer.contacts.get_phone_number("John Doe") -contact_string = computer.contacts.get_email_address("John Doe") -computer.mail.send("john@email.com", "Meeting Reminder", "Reminder that our meeting is at 3pm today.", ["path/to/attachment.pdf", "path/to/attachment2.pdf"]) # Send an email with a optional attachments -emails_string = computer.mail.get(4, unread=True) # Returns the {number} of unread emails, or all emails if False is passed -unread_num = computer.mail.unread_count() # Returns the number of unread emails -computer.sms.send("555-123-4567", "Hello from the computer!") # Send a text message. MUST be a phone number, so use computer.contacts.get_phone_number frequently here -``` - -Do not import the computer module, or any of its sub-modules. They are already imported. - -DO NOT use the computer module for ALL tasks. Many tasks can be accomplished via Python, or by pip installing new libraries. Be creative! - -# GUI CONTROL (RARE) - -You are a computer controlling language model. You can control the user's GUI. -You may use the `computer` module to control the user's keyboard and mouse, if the task **requires** it: - -```python -computer.display.view() # Shows you what's on the screen, returns a `pil_image` `in case you need it (rarely). **You almost always want to do this first!** -computer.keyboard.hotkey(" ", "command") # Opens spotlight -computer.keyboard.write("hello") -computer.mouse.click("text onscreen") # This clicks on the UI element with that text. Use this **frequently** and get creative! To click a video, you could pass the *timestamp* (which is usually written on the thumbnail) into this. -computer.mouse.move("open recent >") # This moves the mouse over the UI element with that text. Many dropdowns will disappear if you click them. You have to hover over items to reveal more. -computer.mouse.click(x=500, y=500) # Use this very, very rarely. It's highly inaccurate -computer.mouse.click(icon="gear icon") # Moves mouse to the icon with that description. Use this very often -computer.mouse.scroll(-10) # Scrolls down. If you don't find some text on screen that you expected to be there, you probably want to do this -``` - -You are an image-based AI, you can see images. -Clicking text is the most reliable way to use the mouse— for example, clicking a URL's text you see in the URL bar, or some textarea's placeholder text (like "Search" to get into a search bar). -If you use `plt.show()`, the resulting image will be sent to you. However, if you use `PIL.Image.show()`, the resulting image will NOT be sent to you. -It is very important to make sure you are focused on the right application and window. Often, your first command should always be to explicitly switch to the correct application. On Macs, ALWAYS use Spotlight to switch applications, remember to click enter. -When searching the web, use query parameters. For example, https://www.amazon.com/s?k=monitor - -# SKILLS - -Try to use the following special functions (or "skills") to complete your goals whenever possible. -THESE ARE ALREADY IMPORTED. YOU CAN CALL THEM INSTANTLY. - ---- -{{ -import sys -import os -import json -import ast -from platformdirs import user_data_dir - -directory = os.path.join(user_data_dir('01'), 'skills') -if not os.path.exists(directory): - os.mkdir(directory) - -def get_function_info(file_path): - with open(file_path, "r") as file: - tree = ast.parse(file.read()) - functions = [node for node in tree.body if isinstance(node, ast.FunctionDef)] - for function in functions: - docstring = ast.get_docstring(function) - args = [arg.arg for arg in function.args.args] - print(f"Function Name: {function.name}") - print(f"Arguments: {args}") - print(f"Docstring: {docstring}") - print("---") - -files = os.listdir(directory) -for file in files: - if file.endswith(".py"): - file_path = os.path.join(directory, file) - get_function_info(file_path) -}} - -YOU can add to the above list of skills by defining a python function. The function will be saved as a skill. -Search all existing skills by running `computer.skills.search(query)`. - -**Teach Mode** - -If the USER says they want to teach you something, exactly write the following, including the markdown code block: - ---- -One moment. -```python -computer.skills.new_skill.create() -``` ---- - -If you decide to make a skill yourself to help the user, simply define a python function. `computer.skills.new_skill.create()` is for user-described skills. - -# USE COMMENTS TO PLAN - -IF YOU NEED TO THINK ABOUT A PROBLEM: (such as "Here's the plan:"), WRITE IT IN THE COMMENTS of the code block! - ---- -User: What is 432/7? -Assistant: Let me think about that. -```python -# Here's the plan: -# 1. Divide the numbers -# 2. Round to 3 digits -print(round(432/7, 3)) -``` -```output -61.714 -``` -The answer is 61.714. ---- - -# MANUAL TASKS - -Translate things to other languages INSTANTLY and MANUALLY. Don't ever try to use a translation tool. -Summarize things manually. DO NOT use a summarizer tool. - -# CRITICAL NOTES - -Code output, despite being sent to you by the user, cannot be seen by the user. You NEED to tell the user about the output of some code, even if it's exact. >>The user does not have a screen.<< -ALWAYS REMEMBER: You are running on a device called the O1, where the interface is entirely speech-based. Make your responses to the user VERY short. DO NOT PLAN. BE CONCISE. WRITE CODE TO RUN IT. -Try multiple methods before saying the task is impossible. **You can do it!** - -""".strip() - - -def configure_interpreter(interpreter: OpenInterpreter): - ### SYSTEM MESSAGE - interpreter.system_message = system_message - - interpreter.llm.supports_vision = True - interpreter.shrink_images = True # Faster but less accurate - - interpreter.llm.model = "gpt-4" - - interpreter.llm.supports_functions = False - interpreter.llm.context_window = 110000 - interpreter.llm.max_tokens = 4096 - interpreter.auto_run = True - - interpreter.force_task_completion = True - interpreter.force_task_completion_message = """Proceed with what you were doing (this is not confirmation, if you just asked me something). You CAN run code on my machine. If you want to run code, start your message with "```"! If the entire task is done, say exactly 'The task is done.' If you need some specific information (like username, message text, skill name, skill step, etc.) say EXACTLY 'Please provide more information.' If it's impossible, say 'The task is impossible.' (If I haven't provided a task, say exactly 'Let me know what you'd like to do next.') Otherwise keep going. CRITICAL: REMEMBER TO FOLLOW ALL PREVIOUS INSTRUCTIONS. If I'm teaching you something, remember to run the related `computer.skills.new_skill` function.""" - interpreter.force_task_completion_breakers = [ - "The task is done.", - "The task is impossible.", - "Let me know what you'd like to do next.", - "Please provide more information.", - ] - - # Check if required packages are installed - - # THERE IS AN INCONSISTENCY HERE. - # We should be testing if they import WITHIN OI's computer, not here. - - packages = ["cv2", "plyer", "pyautogui", "pyperclip", "pywinctl"] - missing_packages = [] - for package in packages: - try: - __import__(package) - except ImportError: - missing_packages.append(package) - - if missing_packages: - interpreter.display_message( - f"> **Missing Package(s): {', '.join(['`' + p + '`' for p in missing_packages])}**\n\nThese packages are required for OS Control.\n\nInstall them?\n" - ) - user_input = input("(y/n) > ") - if user_input.lower() != "y": - print("\nPlease try to install them manually.\n\n") - time.sleep(2) - print("Attempting to start OS control anyway...\n\n") - - for pip_name in ["pip", "pip3"]: - command = f"{pip_name} install 'open-interpreter[os]'" - - interpreter.computer.run("shell", command, display=True) - - got_em = True - for package in missing_packages: - try: - __import__(package) - except ImportError: - got_em = False - if got_em: - break - - missing_packages = [] - for package in packages: - try: - __import__(package) - except ImportError: - missing_packages.append(package) - - if missing_packages != []: - print( - "\n\nWarning: The following packages could not be installed:", - ", ".join(missing_packages), - ) - print("\nPlease try to install them manually.\n\n") - time.sleep(2) - print("Attempting to start OS control anyway...\n\n") - - # Should we explore other options for ^ these kinds of tags? - # Like: - - # from rich import box - # from rich.console import Console - # from rich.panel import Panel - # console = Console() - # print(">\n\n") - # console.print(Panel("[bold italic white on black]OS CONTROL[/bold italic white on black] Enabled", box=box.SQUARE, expand=False), style="white on black") - # print(">\n\n") - # console.print(Panel("[bold italic white on black]OS CONTROL[/bold italic white on black] Enabled", box=box.HEAVY, expand=False), style="white on black") - # print(">\n\n") - # console.print(Panel("[bold italic white on black]OS CONTROL[/bold italic white on black] Enabled", box=box.DOUBLE, expand=False), style="white on black") - # print(">\n\n") - # console.print(Panel("[bold italic white on black]OS CONTROL[/bold italic white on black] Enabled", box=box.SQUARE, expand=False), style="white on black") - - if not interpreter.offline and not interpreter.auto_run: - api_message = "To find items on the screen, Open Interpreter has been instructed to send screenshots to [api.openinterpreter.com](https://api.openinterpreter.com/) (we do not store them). Add `--offline` to attempt this locally." - interpreter.display_message(api_message) - print("") - - if not interpreter.auto_run: - screen_recording_message = "**Make sure that screen recording permissions are enabled for your Terminal or Python environment.**" - interpreter.display_message(screen_recording_message) - print("") - - # # FOR TESTING ONLY - # # Install Open Interpreter from GitHub - # for chunk in interpreter.computer.run( - # "shell", - # "pip install git+https://github.com/KillianLucas/open-interpreter.git", - # ): - # if chunk.get("format") != "active_line": - # print(chunk.get("content")) - - from platformdirs import user_data_dir - - # Directory paths - repo_skills_dir = os.path.join(os.path.dirname(__file__), "skills") - user_data_skills_dir = os.path.join(user_data_dir("01"), "skills") - - # Create the user data skills directory if it doesn't exist - os.makedirs(user_data_skills_dir, exist_ok=True) - - # Copy Python files from the repository skills directory to the user data skills directory, ignoring __init__.py files - for filename in os.listdir(repo_skills_dir): - if filename.endswith(".py") and filename != "__init__.py": - src_file = os.path.join(repo_skills_dir, filename) - dst_file = os.path.join(user_data_skills_dir, filename) - shutil.copy2(src_file, dst_file) - - interpreter.computer.debug = True - interpreter.computer.skills.path = user_data_skills_dir - - # Import skills - interpreter.computer.save_skills = False - - for file in glob.glob(os.path.join(interpreter.computer.skills.path, "*.py")): - code_to_run = "" - with open(file, "r") as f: - code_to_run += f.read() + "\n" - - interpreter.computer.run("python", code_to_run) - - interpreter.computer.save_skills = True - - # Initialize user's task list - interpreter.computer.run( - language="python", - code="tasks = []", - display=interpreter.verbose, - ) - - # Give it access to the computer via Python - interpreter.computer.run( - language="python", - code="import time\nfrom interpreter import interpreter\ncomputer = interpreter.computer", # We ask it to use time, so - display=interpreter.verbose, - ) - - if not interpreter.auto_run: - interpreter.display_message( - "**Warning:** In this mode, Open Interpreter will not require approval before performing actions. Be ready to close your terminal." - ) - print("") # < - Aesthetic choice - - ### MISC SETTINGS - - interpreter.auto_run = True - interpreter.computer.languages = [ - l - for l in interpreter.computer.languages - if l.name.lower() in ["applescript", "shell", "zsh", "bash", "python"] - ] - interpreter.force_task_completion = True - # interpreter.offline = True - interpreter.id = 206 # Used to identify itself to other interpreters. This should be changed programmatically so it's unique. - - ### RESET conversations/user.json - app_dir = user_data_dir("01") - conversations_dir = os.path.join(app_dir, "conversations") - os.makedirs(conversations_dir, exist_ok=True) - user_json_path = os.path.join(conversations_dir, "user.json") - with open(user_json_path, "w") as file: - json.dump([], file) - - return interpreter diff --git a/software/source/server/llm.py b/software/source/server/llm.py deleted file mode 100644 index 430e58a..0000000 --- a/software/source/server/llm.py +++ /dev/null @@ -1,29 +0,0 @@ -from dotenv import load_dotenv - -load_dotenv() # take environment variables from .env. - -import os -import subprocess -from pathlib import Path - -### LLM SETUP - -# Define the path to a llamafile -llamafile_path = Path(__file__).parent / "model.llamafile" - -# Check if the new llamafile exists, if not download it -if not os.path.exists(llamafile_path): - subprocess.run( - [ - "wget", - "-O", - llamafile_path, - "https://huggingface.co/jartine/phi-2-llamafile/resolve/main/phi-2.Q4_K_M.llamafile", - ], - check=True, - ) - # Make the new llamafile executable - subprocess.run(["chmod", "+x", llamafile_path], check=True) - -# Run the new llamafile -subprocess.run([str(llamafile_path)], check=True) diff --git a/software/source/server/profiles/default.py b/software/source/server/profiles/default.py new file mode 100644 index 0000000..683adde --- /dev/null +++ b/software/source/server/profiles/default.py @@ -0,0 +1,186 @@ +from interpreter import interpreter + +# This is an Open Interpreter compatible profile. +# Visit https://01.openinterpreter.com/profile for all options. + +# 01 supports OpenAI, ElevenLabs, and Coqui (Local) TTS providers +# {OpenAI: "openai", ElevenLabs: "elevenlabs", Coqui: "coqui"} +interpreter.tts = "openai" + +# Connect your 01 to a language model +interpreter.llm.model = "gpt-4-turbo" +interpreter.llm.context_window = 100000 +interpreter.llm.max_tokens = 4096 +# interpreter.llm.api_key = "" + +# Tell your 01 where to find and save skills +interpreter.computer.skills.path = "./skills" + +# Extra settings +interpreter.computer.import_computer_api = True +interpreter.computer.import_skills = True +interpreter.computer.run("python", "computer") # This will trigger those imports +interpreter.auto_run = True +interpreter.loop = True +interpreter.loop_message = """Proceed with what you were doing (this is not confirmation, if you just asked me something). You CAN run code on my machine. If you want to run code, start your message with "```"! If the entire task is done, say exactly 'The task is done.' If you need some specific information (like username, message text, skill name, skill step, etc.) say EXACTLY 'Please provide more information.' If it's impossible, say 'The task is impossible.' (If I haven't provided a task, say exactly 'Let me know what you'd like to do next.') Otherwise keep going. CRITICAL: REMEMBER TO FOLLOW ALL PREVIOUS INSTRUCTIONS. If I'm teaching you something, remember to run the related `computer.skills.new_skill` function.""" +interpreter.loop_breakers = [ + "The task is done.", + "The task is impossible.", + "Let me know what you'd like to do next.", + "Please provide more information.", +] + +# Set the identity and personality of your 01 +interpreter.system_message = """ + +You are the 01, a screenless executive assistant that can complete any task. +When you execute code, it will be executed on the user's machine. The user has given you full and complete permission to execute any code necessary to complete the task. +Run any code to achieve the goal, and if at first you don't succeed, try again and again. +You can install new packages. +Be concise. Your messages are being read aloud to the user. DO NOT MAKE PLANS. RUN CODE QUICKLY. +Try to spread complex tasks over multiple code blocks. Don't try to complex tasks in one go. +Manually summarize text. + +DON'T TELL THE USER THE METHOD YOU'LL USE, OR MAKE PLANS. ACT LIKE THIS: + +--- +user: Are there any concerts in Seattle? +assistant: Let me check on that. +```python +computer.browser.search("concerts in Seattle") +``` +```output +Upcoming concerts: Bad Bunny at Neumos... +``` +It looks like there's a Bad Bunny concert at Neumos... +--- + +Act like you can just answer any question, then run code (this is hidden from the user) to answer it. +THE USER CANNOT SEE CODE BLOCKS. +Your responses should be very short, no more than 1-2 sentences long. +DO NOT USE MARKDOWN. ONLY WRITE PLAIN TEXT. + +# THE COMPUTER API + +The `computer` module is ALREADY IMPORTED, and can be used for some tasks: + +```python +result_string = computer.browser.search(query) # Google search results will be returned from this function as a string +computer.files.edit(path_to_file, original_text, replacement_text) # Edit a file +computer.calendar.create_event(title="Meeting", start_date=datetime.datetime.now(), end_date=datetime.datetime.now() + datetime.timedelta(hours=1), notes="Note", location="") # Creates a calendar event +events_string = computer.calendar.get_events(start_date=datetime.date.today(), end_date=None) # Get events between dates. If end_date is None, only gets events for start_date +computer.calendar.delete_event(event_title="Meeting", start_date=datetime.datetime) # Delete a specific event with a matching title and start date, you may need to get use get_events() to find the specific event object first +phone_string = computer.contacts.get_phone_number("John Doe") +contact_string = computer.contacts.get_email_address("John Doe") +computer.mail.send("john@email.com", "Meeting Reminder", "Reminder that our meeting is at 3pm today.", ["path/to/attachment.pdf", "path/to/attachment2.pdf"]) # Send an email with a optional attachments +emails_string = computer.mail.get(4, unread=True) # Returns the {number} of unread emails, or all emails if False is passed +unread_num = computer.mail.unread_count() # Returns the number of unread emails +computer.sms.send("555-123-4567", "Hello from the computer!") # Send a text message. MUST be a phone number, so use computer.contacts.get_phone_number frequently here +``` + +Do not import the computer module, or any of its sub-modules. They are already imported. + +DO NOT use the computer module for ALL tasks. Many tasks can be accomplished via Python, or by pip installing new libraries. Be creative! + +# GUI CONTROL (RARE) + +You are a computer controlling language model. You can control the user's GUI. +You may use the `computer` module to control the user's keyboard and mouse, if the task **requires** it: + +```python +computer.display.view() # Shows you what's on the screen. **You almost always want to do this first!** +computer.keyboard.hotkey(" ", "command") # Opens spotlight +computer.keyboard.write("hello") +computer.mouse.click("text onscreen") # This clicks on the UI element with that text. Use this **frequently** and get creative! To click a video, you could pass the *timestamp* (which is usually written on the thumbnail) into this. +computer.mouse.move("open recent >") # This moves the mouse over the UI element with that text. Many dropdowns will disappear if you click them. You have to hover over items to reveal more. +computer.mouse.click(x=500, y=500) # Use this very, very rarely. It's highly inaccurate +computer.mouse.click(icon="gear icon") # Moves mouse to the icon with that description. Use this very often +computer.mouse.scroll(-10) # Scrolls down. If you don't find some text on screen that you expected to be there, you probably want to do this +``` + +You are an image-based AI, you can see images. +Clicking text is the most reliable way to use the mouse— for example, clicking a URL's text you see in the URL bar, or some textarea's placeholder text (like "Search" to get into a search bar). +If you use `plt.show()`, the resulting image will be sent to you. However, if you use `PIL.Image.show()`, the resulting image will NOT be sent to you. +It is very important to make sure you are focused on the right application and window. Often, your first command should always be to explicitly switch to the correct application. On Macs, ALWAYS use Spotlight to switch applications. +When searching the web, use query parameters. For example, https://www.amazon.com/s?k=monitor + +# SKILLS + +Try to use the following special functions (or "skills") to complete your goals whenever possible. +THESE ARE ALREADY IMPORTED. YOU CAN CALL THEM INSTANTLY. + +--- +{{ +import sys +import os +import json +import ast + +directory = "./skills" + +def get_function_info(file_path): + with open(file_path, "r") as file: + tree = ast.parse(file.read()) + functions = [node for node in tree.body if isinstance(node, ast.FunctionDef)] + for function in functions: + docstring = ast.get_docstring(function) + args = [arg.arg for arg in function.args.args] + print(f"Function Name: {function.name}") + print(f"Arguments: {args}") + print(f"Docstring: {docstring}") + print("---") + +files = os.listdir(directory) +for file in files: + if file.endswith(".py"): + file_path = os.path.join(directory, file) + get_function_info(file_path) +}} + +YOU can add to the above list of skills by defining a python function. The function will be saved as a skill. +Search all existing skills by running `computer.skills.search(query)`. + +**Teach Mode** + +If the USER says they want to teach you something, exactly write the following, including the markdown code block: + +--- +One moment. +```python +computer.skills.new_skill.create() +``` +--- + +If you decide to make a skill yourself to help the user, simply define a python function. `computer.skills.new_skill.create()` is for user-described skills. + +# USE COMMENTS TO PLAN + +IF YOU NEED TO THINK ABOUT A PROBLEM: (such as "Here's the plan:"), WRITE IT IN THE COMMENTS of the code block! + +--- +User: What is 432/7? +Assistant: Let me think about that. +```python +# Here's the plan: +# 1. Divide the numbers +# 2. Round to 3 digits +print(round(432/7, 3)) +``` +```output +61.714 +``` +The answer is 61.714. +--- + +# MANUAL TASKS + +Translate things to other languages INSTANTLY and MANUALLY. Don't ever try to use a translation tool. +Summarize things manually. DO NOT use a summarizer tool. + +# CRITICAL NOTES + +Code output, despite being sent to you by the user, cannot be seen by the user. You NEED to tell the user about the output of some code, even if it's exact. >>The user does not have a screen.<< +ALWAYS REMEMBER: You are running on a device called the O1, where the interface is entirely speech-based. Make your responses to the user VERY short. DO NOT PLAN. BE CONCISE. WRITE CODE TO RUN IT. +Try multiple methods before saying the task is impossible. **You can do it!** + +""".strip() diff --git a/software/source/server/profiles/fast.py b/software/source/server/profiles/fast.py new file mode 100644 index 0000000..c8317b4 --- /dev/null +++ b/software/source/server/profiles/fast.py @@ -0,0 +1,24 @@ +from interpreter import interpreter + +# This is an Open Interpreter compatible profile. +# Visit https://01.openinterpreter.com/profile for all options. + +# 01 supports OpenAI, ElevenLabs, and Coqui (Local) TTS providers +# {OpenAI: "openai", ElevenLabs: "elevenlabs", Coqui: "coqui"} +interpreter.tts = "elevenlabs" + +# 01 Language Model Config. +interpreter.llm_service = "litellm" +interpreter.llm.model = "groq/llama3-8b-8192" +interpreter.llm.supports_vision = False +interpreter.llm.supports_functions = False +interpreter.llm.context_window = 2048 +interpreter.llm.max_tokens = 4096 +interpreter.llm.temperature = 0.8 + +interpreter.computer.import_computer_api = False + +interpreter.auto_run = True +interpreter.system_message = ( + "You are a helpful assistant that can answer questions and help with tasks." +) diff --git a/software/source/server/profiles/local.py b/software/source/server/profiles/local.py new file mode 100644 index 0000000..c7db1e5 --- /dev/null +++ b/software/source/server/profiles/local.py @@ -0,0 +1,38 @@ +from interpreter import interpreter + +# 01 supports OpenAI, ElevenLabs, and Coqui (Local) TTS providers +# {OpenAI: "openai", ElevenLabs: "elevenlabs", Coqui: "coqui"} +interpreter.tts = "coqui" + +# Local setup +interpreter.local_setup() + +interpreter.system_message = """You are an AI assistant that writes markdown code snippets to answer the user's request. You speak very concisely and quickly, you say nothing irrelevant to the user's request. For example: + +User: Open the chrome app. +Assistant: On it. +```python +import webbrowser +webbrowser.open('https://chrome.google.com') +``` +User: The code you ran produced no output. Was this expected, or are we finished? +Assistant: No further action is required; the provided snippet opens Chrome. + +Now, your turn:""" + +# Message templates +interpreter.code_output_template = '''I executed that code. This was the output: """{content}"""\n\nWhat does this output mean (I can't understand it, please help) / what code needs to be run next (if anything, or are we done)? I can't replace any placeholders.''' +interpreter.empty_code_output_template = "The code above was executed on my machine. It produced no text output. What's next (if anything, or are we done?)" +interpreter.code_output_sender = "user" + +# Computer settings +interpreter.computer.import_computer_api = False + +# Misc settings +interpreter.auto_run = False +interpreter.offline = True + +# Final message +interpreter.display_message( + f"> Model set to `{interpreter.llm.model}`\n\n**Open Interpreter** will require approval before running code.\n\nUse `interpreter -y` to bypass this.\n\nPress `CTRL-C` to exit.\n" +) diff --git a/software/source/server/server.py b/software/source/server/server.py deleted file mode 100644 index a906ba9..0000000 --- a/software/source/server/server.py +++ /dev/null @@ -1,520 +0,0 @@ -from dotenv import load_dotenv - -load_dotenv() # take environment variables from .env. - -import traceback -from platformdirs import user_data_dir -import json -import queue -import os -import datetime -from .utils.bytes_to_wav import bytes_to_wav -import re -from fastapi import FastAPI, Request -from fastapi.responses import PlainTextResponse -from starlette.websockets import WebSocket, WebSocketDisconnect -import asyncio -from .utils.kernel import put_kernel_messages_into_queue -from .i import configure_interpreter -from interpreter import interpreter -from ..utils.accumulator import Accumulator -from .utils.logs import setup_logging -from .utils.logs import logger -import base64 -import shutil -from ..utils.print_markdown import print_markdown - -os.environ["STT_RUNNER"] = "server" -os.environ["TTS_RUNNER"] = "server" - -markdown = """ -○ - -*Starting...* -""" -print("") -print_markdown(markdown) -print("") - - -setup_logging() - -accumulator_global = Accumulator() - -app = FastAPI() - -app_dir = user_data_dir("01") -conversation_history_path = os.path.join(app_dir, "conversations", "user.json") - -SERVER_LOCAL_PORT = int(os.getenv("SERVER_LOCAL_PORT", 10001)) - - -# This is so we only say() full sentences -def is_full_sentence(text): - return text.endswith((".", "!", "?")) - - -def split_into_sentences(text): - return re.split(r"(?<=[.!?])\s+", text) - - -# Queues -from_computer = ( - queue.Queue() -) # Just for computer messages from the device. Sync queue because interpreter.run is synchronous -from_user = asyncio.Queue() # Just for user messages from the device. -to_device = asyncio.Queue() # For messages we send. - -# Switch code executor to device if that's set - -if os.getenv("CODE_RUNNER") == "device": - # (This should probably just loop through all languages and apply these changes instead) - - class Python: - # This is the name that will appear to the LLM. - name = "python" - - def __init__(self): - self.halt = False - - def run(self, code): - """Generator that yields a dictionary in LMC Format.""" - - # Prepare the data - message = { - "role": "assistant", - "type": "code", - "format": "python", - "content": code, - } - - # Unless it was just sent to the device, send it wrapped in flags - if not (interpreter.messages and interpreter.messages[-1] == message): - to_device.put( - { - "role": "assistant", - "type": "code", - "format": "python", - "start": True, - } - ) - to_device.put(message) - to_device.put( - { - "role": "assistant", - "type": "code", - "format": "python", - "end": True, - } - ) - - # Stream the response - logger.info("Waiting for the device to respond...") - while True: - chunk = from_computer.get() - logger.info(f"Server received from device: {chunk}") - if "end" in chunk: - break - yield chunk - - def stop(self): - self.halt = True - - def terminate(self): - """Terminates the entire process.""" - # dramatic!! do nothing - pass - - interpreter.computer.languages = [Python] - -# Configure interpreter -interpreter = configure_interpreter(interpreter) - - -@app.get("/ping") -async def ping(): - return PlainTextResponse("pong") - - -@app.websocket("/") -async def websocket_endpoint(websocket: WebSocket): - await websocket.accept() - receive_task = asyncio.create_task(receive_messages(websocket)) - send_task = asyncio.create_task(send_messages(websocket)) - try: - await asyncio.gather(receive_task, send_task) - except Exception as e: - logger.debug(traceback.format_exc()) - logger.info(f"Connection lost. Error: {e}") - - -@app.post("/") -async def add_computer_message(request: Request): - body = await request.json() - text = body.get("text") - if not text: - return {"error": "Missing 'text' in request body"}, 422 - message = {"role": "user", "type": "message", "content": text} - await from_user.put({"role": "user", "type": "message", "start": True}) - await from_user.put(message) - await from_user.put({"role": "user", "type": "message", "end": True}) - - -async def receive_messages(websocket: WebSocket): - while True: - try: - try: - data = await websocket.receive() - except Exception as e: - print(str(e)) - return - if "text" in data: - try: - data = json.loads(data["text"]) - if data["role"] == "computer": - from_computer.put( - data - ) # To be handled by interpreter.computer.run - elif data["role"] == "user": - await from_user.put(data) - else: - raise ("Unknown role:", data) - except json.JSONDecodeError: - pass # data is not JSON, leave it as is - elif "bytes" in data: - data = data["bytes"] # binary data - await from_user.put(data) - except WebSocketDisconnect as e: - if e.code == 1000: - logger.info("Websocket connection closed normally.") - return - else: - raise - - -async def send_messages(websocket: WebSocket): - while True: - message = await to_device.get() - - try: - if isinstance(message, dict): - # print(f"Sending to the device: {type(message)} {str(message)[:100]}") - await websocket.send_json(message) - elif isinstance(message, bytes): - # print(f"Sending to the device: {type(message)} {str(message)[:100]}") - await websocket.send_bytes(message) - else: - raise TypeError("Message must be a dict or bytes") - except: - # Make sure to put the message back in the queue if you failed to send it - await to_device.put(message) - raise - - -async def listener(mobile: bool): - while True: - try: - if mobile: - accumulator_mobile = Accumulator() - - while True: - if not from_user.empty(): - chunk = await from_user.get() - break - elif not from_computer.empty(): - chunk = from_computer.get() - break - await asyncio.sleep(1) - - if mobile: - message = accumulator_mobile.accumulate_mobile(chunk) - else: - message = accumulator_global.accumulate(chunk) - - if message == None: - # Will be None until we have a full message ready - continue - - # print(str(message)[:1000]) - - # At this point, we have our message - - if message["type"] == "audio" and message["format"].startswith("bytes"): - if ( - "content" not in message - or message["content"] == None - or message["content"] == "" - ): # If it was nothing / silence / empty - continue - - # Convert bytes to audio file - # Format will be bytes.wav or bytes.opus - mime_type = "audio/" + message["format"].split(".")[1] - # print("input audio file content", message["content"][:100]) - audio_file_path = bytes_to_wav(message["content"], mime_type) - # print("Audio file path:", audio_file_path) - - # For microphone debugging: - if False: - os.system(f"open {audio_file_path}") - import time - - time.sleep(15) - - text = stt(audio_file_path) - print("> ", text) - message = {"role": "user", "type": "message", "content": text} - - # At this point, we have only text messages - - if type(message["content"]) != str: - print("This should be a string, but it's not:", message["content"]) - message["content"] = message["content"].decode() - - # Custom stop message will halt us - if message["content"].lower().strip(".,! ") == "stop": - continue - - # Load, append, and save conversation history - with open(conversation_history_path, "r") as file: - messages = json.load(file) - messages.append(message) - with open(conversation_history_path, "w") as file: - json.dump(messages, file, indent=4) - - accumulated_text = "" - - if any( - [m["type"] == "image" for m in messages] - ) and interpreter.llm.model.startswith("gpt-"): - interpreter.llm.model = "gpt-4-vision-preview" - interpreter.llm.supports_vision = True - - for chunk in interpreter.chat(messages, stream=True, display=True): - if any([m["type"] == "image" for m in interpreter.messages]): - interpreter.llm.model = "gpt-4-vision-preview" - - logger.debug("Got chunk:", chunk) - - # Send it to the user - await to_device.put(chunk) - - # Yield to the event loop, so you actually send it out - await asyncio.sleep(0.01) - - if os.getenv("TTS_RUNNER") == "server": - # Speak full sentences out loud - if ( - chunk["role"] == "assistant" - and "content" in chunk - and chunk["type"] == "message" - ): - accumulated_text += chunk["content"] - sentences = split_into_sentences(accumulated_text) - - # If we're going to speak, say we're going to stop sending text. - # This should be fixed probably, we should be able to do both in parallel, or only one. - if any(is_full_sentence(sentence) for sentence in sentences): - await to_device.put( - {"role": "assistant", "type": "message", "end": True} - ) - - if is_full_sentence(sentences[-1]): - for sentence in sentences: - await stream_tts_to_device(sentence, mobile) - accumulated_text = "" - else: - for sentence in sentences[:-1]: - await stream_tts_to_device(sentence, mobile) - accumulated_text = sentences[-1] - - # If we're going to speak, say we're going to stop sending text. - # This should be fixed probably, we should be able to do both in parallel, or only one. - if any(is_full_sentence(sentence) for sentence in sentences): - await to_device.put( - {"role": "assistant", "type": "message", "start": True} - ) - - # If we have a new message, save our progress and go back to the top - if not from_user.empty(): - # Check if it's just an end flag. We ignore those. - temp_message = await from_user.get() - - if ( - type(temp_message) is dict - and temp_message.get("role") == "user" - and temp_message.get("end") - ): - # Yup. False alarm. - continue - else: - # Whoops! Put that back - await from_user.put(temp_message) - - with open(conversation_history_path, "w") as file: - json.dump(interpreter.messages, file, indent=4) - - # TODO: is triggering seemingly randomly - # logger.info("New user message received. Breaking.") - # break - - # Also check if there's any new computer messages - if not from_computer.empty(): - with open(conversation_history_path, "w") as file: - json.dump(interpreter.messages, file, indent=4) - - logger.info("New computer message received. Breaking.") - break - except: - traceback.print_exc() - - -async def stream_tts_to_device(sentence, mobile: bool): - force_task_completion_responses = [ - "the task is done", - "the task is impossible", - "let me know what you'd like to do next", - ] - if sentence.lower().strip().strip(".!?").strip() in force_task_completion_responses: - return - - for chunk in stream_tts(sentence, mobile): - await to_device.put(chunk) - - -def stream_tts(sentence, mobile: bool): - audio_file = tts(sentence, mobile) - - # Read the entire WAV file - with open(audio_file, "rb") as f: - audio_bytes = f.read() - - if mobile: - file_type = "audio/wav" - - os.remove(audio_file) - - # stream the audio as a single sentence - yield { - "role": "assistant", - "type": "audio", - "format": file_type, - "content": base64.b64encode(audio_bytes).decode("utf-8"), - "start": True, - "end": True, - } - - else: - # stream the audio in chunk sizes - os.remove(audio_file) - - file_type = "bytes.raw" - chunk_size = 1024 - - yield {"role": "assistant", "type": "audio", "format": file_type, "start": True} - for i in range(0, len(audio_bytes), chunk_size): - chunk = audio_bytes[i : i + chunk_size] - yield chunk - yield {"role": "assistant", "type": "audio", "format": file_type, "end": True} - - -from uvicorn import Config, Server -import os -from importlib import import_module - -# these will be overwritten -HOST = "" -PORT = 0 - - -@app.on_event("startup") -async def startup_event(): - server_url = f"{HOST}:{PORT}" - print("") - print_markdown("\n*Ready.*\n") - print("") - - -@app.on_event("shutdown") -async def shutdown_event(): - print_markdown("*Server is shutting down*") - - -async def main( - server_host, - server_port, - llm_service, - model, - llm_supports_vision, - llm_supports_functions, - context_window, - max_tokens, - temperature, - tts_service, - stt_service, - mobile, -): - global HOST - global PORT - PORT = server_port - HOST = server_host - - # Setup services - application_directory = user_data_dir("01") - services_directory = os.path.join(application_directory, "services") - - service_dict = {"llm": llm_service, "tts": tts_service, "stt": stt_service} - - # Create a temp file with the session number - session_file_path = os.path.join(user_data_dir("01"), "01-session.txt") - with open(session_file_path, "w") as session_file: - session_id = int(datetime.datetime.now().timestamp() * 1000) - session_file.write(str(session_id)) - - for service in service_dict: - service_directory = os.path.join( - services_directory, service, service_dict[service] - ) - - # This is the folder they can mess around in - config = {"service_directory": service_directory} - - if service == "llm": - config.update( - { - "interpreter": interpreter, - "model": model, - "llm_supports_vision": llm_supports_vision, - "llm_supports_functions": llm_supports_functions, - "context_window": context_window, - "max_tokens": max_tokens, - "temperature": temperature, - } - ) - - module = import_module( - f".server.services.{service}.{service_dict[service]}.{service}", - package="source", - ) - - ServiceClass = getattr(module, service.capitalize()) - service_instance = ServiceClass(config) - globals()[service] = getattr(service_instance, service) - - interpreter.llm.completions = llm - - # Start listening - asyncio.create_task(listener(mobile)) - - # Start watching the kernel if it's your job to do that - if True: # in the future, code can run on device. for now, just server. - asyncio.create_task(put_kernel_messages_into_queue(from_computer)) - - config = Config(app, host=server_host, port=int(server_port), lifespan="on") - server = Server(config) - await server.serve() - - -# Run the FastAPI app -if __name__ == "__main__": - asyncio.run(main()) diff --git a/software/source/server/services/__init__.py b/software/source/server/services/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/software/source/server/services/llm/__init__.py b/software/source/server/services/llm/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/software/source/server/services/llm/litellm/__init__.py b/software/source/server/services/llm/litellm/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/software/source/server/services/llm/litellm/llm.py b/software/source/server/services/llm/litellm/llm.py deleted file mode 100644 index f4093e4..0000000 --- a/software/source/server/services/llm/litellm/llm.py +++ /dev/null @@ -1,11 +0,0 @@ -class Llm: - def __init__(self, config): - # Litellm is used by OI by default, so we just modify OI - - interpreter = config["interpreter"] - config.pop("interpreter", None) - config.pop("service_directory", None) - for key, value in config.items(): - setattr(interpreter, key.replace("-", "_"), value) - - self.llm = interpreter.llm.completions diff --git a/software/source/server/services/llm/llamaedge/__init__.py b/software/source/server/services/llm/llamaedge/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/software/source/server/services/llm/llamaedge/llm.py b/software/source/server/services/llm/llamaedge/llm.py deleted file mode 100644 index 7894f54..0000000 --- a/software/source/server/services/llm/llamaedge/llm.py +++ /dev/null @@ -1,68 +0,0 @@ -import os -import subprocess -import requests -import json - - -class Llm: - def __init__(self, config): - self.install(config["service_directory"]) - - def install(self, service_directory): - LLM_FOLDER_PATH = service_directory - self.llm_directory = os.path.join(LLM_FOLDER_PATH, "llm") - if not os.path.isdir(self.llm_directory): # Check if the LLM directory exists - os.makedirs(LLM_FOLDER_PATH, exist_ok=True) - - # Install WasmEdge - subprocess.run( - [ - "curl", - "-sSf", - "https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh", - "|", - "bash", - "-s", - "--", - "--plugin", - "wasi_nn-ggml", - ] - ) - - # Download the Qwen1.5-0.5B-Chat model GGUF file - MODEL_URL = "https://huggingface.co/second-state/Qwen1.5-0.5B-Chat-GGUF/resolve/main/Qwen1.5-0.5B-Chat-Q5_K_M.gguf" - subprocess.run(["curl", "-LO", MODEL_URL], cwd=self.llm_directory) - - # Download the llama-api-server.wasm app - APP_URL = "https://github.com/LlamaEdge/LlamaEdge/releases/latest/download/llama-api-server.wasm" - subprocess.run(["curl", "-LO", APP_URL], cwd=self.llm_directory) - - # Run the API server - subprocess.run( - [ - "wasmedge", - "--dir", - ".:.", - "--nn-preload", - "default:GGML:AUTO:Qwen1.5-0.5B-Chat-Q5_K_M.gguf", - "llama-api-server.wasm", - "-p", - "llama-2-chat", - ], - cwd=self.llm_directory, - ) - - print("LLM setup completed.") - else: - print("LLM already set up. Skipping download.") - - def llm(self, messages): - url = "http://localhost:8080/v1/chat/completions" - headers = {"accept": "application/json", "Content-Type": "application/json"} - data = {"messages": messages, "model": "llama-2-chat"} - with requests.post( - url, headers=headers, data=json.dumps(data), stream=True - ) as response: - for line in response.iter_lines(): - if line: - yield json.loads(line) diff --git a/software/source/server/services/llm/llamafile/__init__.py b/software/source/server/services/llm/llamafile/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/software/source/server/services/llm/llamafile/llm.py b/software/source/server/services/llm/llamafile/llm.py deleted file mode 100644 index aaf08d6..0000000 --- a/software/source/server/services/llm/llamafile/llm.py +++ /dev/null @@ -1,87 +0,0 @@ -import os -import platform -import subprocess -import time -import wget -import stat - - -class Llm: - def __init__(self, config): - self.interpreter = config["interpreter"] - config.pop("interpreter", None) - - self.install(config["service_directory"]) - - config.pop("service_directory", None) - for key, value in config.items(): - setattr(self.interpreter, key.replace("-", "_"), value) - - self.llm = self.interpreter.llm.completions - - def install(self, service_directory): - if platform.system() == "Darwin": # Check if the system is MacOS - result = subprocess.run( - ["xcode-select", "-p"], stdout=subprocess.PIPE, stderr=subprocess.STDOUT - ) - if result.returncode != 0: - print( - "Llamafile requires Mac users to have Xcode installed. You can install Xcode from https://developer.apple.com/xcode/ .\n\nAlternatively, you can use `LM Studio`, `Jan.ai`, or `Ollama` to manage local language models. Learn more at https://docs.openinterpreter.com/guides/running-locally ." - ) - time.sleep(3) - raise Exception( - "Xcode is not installed. Please install Xcode and try again." - ) - - # Define the path to the models directory - models_dir = os.path.join(service_directory, "models") - - # Check and create the models directory if it doesn't exist - if not os.path.exists(models_dir): - os.makedirs(models_dir) - - # Define the path to the new llamafile - llamafile_path = os.path.join(models_dir, "phi-2.Q4_K_M.llamafile") - - # Check if the new llamafile exists, if not download it - if not os.path.exists(llamafile_path): - print( - "Attempting to download the `Phi-2` language model. This may take a few minutes." - ) - time.sleep(3) - - url = "https://huggingface.co/jartine/phi-2-llamafile/resolve/main/phi-2.Q4_K_M.llamafile" - wget.download(url, llamafile_path) - - # Make the new llamafile executable - if platform.system() != "Windows": - st = os.stat(llamafile_path) - os.chmod(llamafile_path, st.st_mode | stat.S_IEXEC) - - # Run the new llamafile in the background - if os.path.exists(llamafile_path): - try: - # Test if the llamafile is executable - subprocess.check_call([f'"{llamafile_path}"'], shell=True) - except subprocess.CalledProcessError: - print( - "The llamafile is not executable. Please check the file permissions." - ) - raise - subprocess.Popen( - f'"{llamafile_path}" ' + " ".join(["-ngl", "9999"]), shell=True - ) - else: - error_message = "The llamafile does not exist or is corrupted. Please ensure it has been downloaded correctly or try again." - print(error_message) - print(error_message) - - self.interpreter.system_message = "You are Open Interpreter, a world-class programmer that can execute code on the user's machine." - self.interpreter.offline = True - - self.interpreter.llm.model = "local" - self.interpreter.llm.temperature = 0 - self.interpreter.llm.api_base = "https://localhost:8080/v1" - self.interpreter.llm.max_tokens = 1000 - self.interpreter.llm.context_window = 3000 - self.interpreter.llm.supports_functions = False diff --git a/software/source/server/services/stt/__init__.py b/software/source/server/services/stt/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/software/source/server/services/stt/local-whisper/__init__.py b/software/source/server/services/stt/local-whisper/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/software/source/server/services/stt/local-whisper/stt.py b/software/source/server/services/stt/local-whisper/stt.py deleted file mode 100644 index 3426665..0000000 --- a/software/source/server/services/stt/local-whisper/stt.py +++ /dev/null @@ -1,169 +0,0 @@ -""" -Defines a function which takes a path to an audio file and turns it into text. -""" - -from datetime import datetime -import os -import contextlib -import tempfile -import shutil -import ffmpeg -import subprocess - -import urllib.request - - -class Stt: - def __init__(self, config): - self.service_directory = config["service_directory"] - install(self.service_directory) - - def stt(self, audio_file_path): - return stt(self.service_directory, audio_file_path) - - -def install(service_dir): - ### INSTALL - - WHISPER_RUST_PATH = os.path.join(service_dir, "whisper-rust") - script_dir = os.path.dirname(os.path.realpath(__file__)) - source_whisper_rust_path = os.path.join(script_dir, "whisper-rust") - if not os.path.exists(source_whisper_rust_path): - print(f"Source directory does not exist: {source_whisper_rust_path}") - exit(1) - if not os.path.exists(WHISPER_RUST_PATH): - shutil.copytree(source_whisper_rust_path, WHISPER_RUST_PATH) - - os.chdir(WHISPER_RUST_PATH) - - # Check if whisper-rust executable exists before attempting to build - if not os.path.isfile( - os.path.join(WHISPER_RUST_PATH, "target/release/whisper-rust") - ): - # Check if Rust is installed. Needed to build whisper executable - - rustc_path = shutil.which("rustc") - - if rustc_path is None: - print( - "Rust is not installed or is not in system PATH. Please install Rust before proceeding." - ) - exit(1) - - # Build Whisper Rust executable if not found - subprocess.run(["cargo", "build", "--release"], check=True) - else: - print("Whisper Rust executable already exists. Skipping build.") - - WHISPER_MODEL_PATH = os.path.join(service_dir, "model") - - WHISPER_MODEL_NAME = os.getenv("WHISPER_MODEL_NAME", "ggml-tiny.en.bin") - WHISPER_MODEL_URL = os.getenv( - "WHISPER_MODEL_URL", - "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/", - ) - - if not os.path.isfile(os.path.join(WHISPER_MODEL_PATH, WHISPER_MODEL_NAME)): - os.makedirs(WHISPER_MODEL_PATH, exist_ok=True) - urllib.request.urlretrieve( - f"{WHISPER_MODEL_URL}{WHISPER_MODEL_NAME}", - os.path.join(WHISPER_MODEL_PATH, WHISPER_MODEL_NAME), - ) - else: - print("Whisper model already exists. Skipping download.") - - -def convert_mime_type_to_format(mime_type: str) -> str: - if mime_type == "audio/x-wav" or mime_type == "audio/wav": - return "wav" - if mime_type == "audio/webm": - return "webm" - if mime_type == "audio/raw": - return "dat" - - return mime_type - - -@contextlib.contextmanager -def export_audio_to_wav_ffmpeg(audio: bytearray, mime_type: str) -> str: - temp_dir = tempfile.gettempdir() - - # Create a temporary file with the appropriate extension - input_ext = convert_mime_type_to_format(mime_type) - input_path = os.path.join( - temp_dir, f"input_{datetime.now().strftime('%Y%m%d%H%M%S%f')}.{input_ext}" - ) - with open(input_path, "wb") as f: - f.write(audio) - - # Check if the input file exists - assert os.path.exists(input_path), f"Input file does not exist: {input_path}" - - # Export to wav - output_path = os.path.join( - temp_dir, f"output_{datetime.now().strftime('%Y%m%d%H%M%S%f')}.wav" - ) - print(mime_type, input_path, output_path) - if mime_type == "audio/raw": - ffmpeg.input( - input_path, - f="s16le", - ar="16000", - ac=1, - ).output(output_path, loglevel="panic").run() - else: - ffmpeg.input(input_path).output( - output_path, acodec="pcm_s16le", ac=1, ar="16k", loglevel="panic" - ).run() - - try: - yield output_path - finally: - os.remove(input_path) - os.remove(output_path) - - -def run_command(command): - result = subprocess.run( - command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, check=True - ) - return result.stdout, result.stderr - - -def get_transcription_file(service_directory, wav_file_path: str): - local_path = os.path.join(service_directory, "model") - whisper_rust_path = os.path.join( - service_directory, "whisper-rust", "target", "release" - ) - model_name = os.getenv("WHISPER_MODEL_NAME", "ggml-tiny.en.bin") - - output, _ = run_command( - [ - os.path.join(whisper_rust_path, "whisper-rust"), - "--model-path", - os.path.join(local_path, model_name), - "--file-path", - wav_file_path, - ] - ) - - return output - - -def stt_wav(service_directory, wav_file_path: str): - temp_dir = tempfile.gettempdir() - output_path = os.path.join( - temp_dir, f"output_stt_{datetime.now().strftime('%Y%m%d%H%M%S%f')}.wav" - ) - ffmpeg.input(wav_file_path).output( - output_path, acodec="pcm_s16le", ac=1, ar="16k", loglevel="panic" - ).run() - try: - transcript = get_transcription_file(service_directory, output_path) - finally: - os.remove(output_path) - return transcript - - -def stt(service_directory, input_data): - return stt_wav(service_directory, input_data) diff --git a/software/source/server/services/stt/local-whisper/whisper-rust/.gitignore b/software/source/server/services/stt/local-whisper/whisper-rust/.gitignore deleted file mode 100644 index 73fab07..0000000 --- a/software/source/server/services/stt/local-whisper/whisper-rust/.gitignore +++ /dev/null @@ -1,10 +0,0 @@ -# Generated by Cargo -# will have compiled files and executables -debug/ -target/ - -# These are backup files generated by rustfmt -**/*.rs.bk - -# MSVC Windows builds of rustc generate these, which store debugging information -*.pdb diff --git a/software/source/server/services/stt/local-whisper/whisper-rust/Cargo.lock b/software/source/server/services/stt/local-whisper/whisper-rust/Cargo.lock deleted file mode 100644 index 27da1ff..0000000 --- a/software/source/server/services/stt/local-whisper/whisper-rust/Cargo.lock +++ /dev/null @@ -1,1228 +0,0 @@ -# This file is automatically @generated by Cargo. -# It is not intended for manual editing. -version = 3 - 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-use clap::Parser; -use std::path::PathBuf; -use transcribe::transcribe; - -#[derive(Parser, Debug)] -#[command(author, version, about, long_about = None)] -struct Args { - /// This is the model for Whisper STT - #[arg(short, long, value_parser, required = true)] - model_path: PathBuf, - - /// This is the wav audio file that will be converted from speech to text - #[arg(short, long, value_parser, required = true)] - file_path: Option, -} - -fn main() { - - let args = Args::parse(); - - let file_path = match args.file_path { - Some(fp) => fp, - None => panic!("No file path provided") - }; - - let result = transcribe(&args.model_path, &file_path); - - match result { - Ok(transcription) => print!("{}", transcription), - Err(e) => panic!("Error: {}", e), - } -} diff --git a/software/source/server/services/stt/local-whisper/whisper-rust/src/transcribe.rs b/software/source/server/services/stt/local-whisper/whisper-rust/src/transcribe.rs deleted file mode 100644 index 99e1a52..0000000 --- a/software/source/server/services/stt/local-whisper/whisper-rust/src/transcribe.rs +++ /dev/null @@ -1,64 +0,0 @@ -use whisper_rs::{FullParams, SamplingStrategy, WhisperContext, WhisperContextParameters}; -use std::path::PathBuf; - - -/// Transcribes the given audio file using the whisper-rs library. -/// -/// # Arguments -/// * `model_path` - Path to Whisper model file -/// * `file_path` - A string slice that holds the path to the audio file to be transcribed. -/// -/// # Returns -/// -/// A Result containing a String with the transcription if successful, or an error message if not. -pub fn transcribe(model_path: &PathBuf, file_path: &PathBuf) -> Result { - - let model_path_str = model_path.to_str().expect("Not valid model path"); - // Load a context and model - let ctx = WhisperContext::new_with_params( - model_path_str, // Replace with the actual path to the model - WhisperContextParameters::default(), - ) - .map_err(|_| "failed to load model")?; - - // Create a state - let mut state = ctx.create_state().map_err(|_| "failed to create state")?; - - // Create a params object - // Note that currently the only implemented strategy is Greedy, BeamSearch is a WIP - let mut params = FullParams::new(SamplingStrategy::Greedy { best_of: 1 }); - - // Edit parameters as needed - params.set_n_threads(1); // Set the number of threads to use - params.set_translate(true); // Enable translation - params.set_language(Some("en")); // Set the language to translate to English - // Disable printing to stdout - params.set_print_special(false); - params.set_print_progress(false); - params.set_print_realtime(false); - params.set_print_timestamps(false); - - // Load the audio file - let audio_data = std::fs::read(file_path) - .map_err(|e| format!("failed to read audio file: {}", e))? - .chunks_exact(2) - .map(|chunk| i16::from_ne_bytes([chunk[0], chunk[1]])) - .collect::>(); - - // Convert the audio data to the required format (16KHz mono i16 samples) - let audio_data = whisper_rs::convert_integer_to_float_audio(&audio_data); - - // Run the model - state.full(params, &audio_data[..]).map_err(|_| "failed to run model")?; - - // Fetch the results - let num_segments = state.full_n_segments().map_err(|_| "failed to get number of segments")?; - let mut transcription = String::new(); - for i in 0..num_segments { - let segment = state.full_get_segment_text(i).map_err(|_| "failed to get segment")?; - transcription.push_str(&segment); - transcription.push('\n'); - } - - Ok(transcription) -} diff --git a/software/source/server/services/stt/openai/__init__.py b/software/source/server/services/stt/openai/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/software/source/server/services/stt/openai/stt.py b/software/source/server/services/stt/openai/stt.py deleted file mode 100644 index 32dc9e2..0000000 --- a/software/source/server/services/stt/openai/stt.py +++ /dev/null @@ -1,129 +0,0 @@ -class Stt: - def __init__(self, config): - pass - - def stt(self, audio_file_path): - return stt(audio_file_path) - - -from datetime import datetime -import os -import contextlib -import tempfile -import ffmpeg -import subprocess -import openai -from openai import OpenAI - - -client = OpenAI() - - -def convert_mime_type_to_format(mime_type: str) -> str: - if mime_type == "audio/x-wav" or mime_type == "audio/wav": - return "wav" - if mime_type == "audio/webm": - return "webm" - if mime_type == "audio/raw": - return "dat" - - return mime_type - - -@contextlib.contextmanager -def export_audio_to_wav_ffmpeg(audio: bytearray, mime_type: str) -> str: - temp_dir = tempfile.gettempdir() - - # Create a temporary file with the appropriate extension - input_ext = convert_mime_type_to_format(mime_type) - input_path = os.path.join( - temp_dir, f"input_{datetime.now().strftime('%Y%m%d%H%M%S%f')}.{input_ext}" - ) - with open(input_path, "wb") as f: - f.write(audio) - - # Check if the input file exists - assert os.path.exists(input_path), f"Input file does not exist: {input_path}" - - # Export to wav - output_path = os.path.join( - temp_dir, f"output_{datetime.now().strftime('%Y%m%d%H%M%S%f')}.wav" - ) - if mime_type == "audio/raw": - ffmpeg.input( - input_path, - f="s16le", - ar="16000", - ac=1, - ).output(output_path, loglevel="panic").run() - else: - ffmpeg.input(input_path).output( - output_path, acodec="pcm_s16le", ac=1, ar="16k", loglevel="panic" - ).run() - - try: - yield output_path - finally: - os.remove(input_path) - os.remove(output_path) - - -def run_command(command): - result = subprocess.run( - command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, check=True - ) - return result.stdout, result.stderr - - -def get_transcription_file(wav_file_path: str): - local_path = os.path.join(os.path.dirname(__file__), "local_service") - whisper_rust_path = os.path.join( - os.path.dirname(__file__), "whisper-rust", "target", "release" - ) - model_name = os.getenv("WHISPER_MODEL_NAME", "ggml-tiny.en.bin") - - output, error = run_command( - [ - os.path.join(whisper_rust_path, "whisper-rust"), - "--model-path", - os.path.join(local_path, model_name), - "--file-path", - wav_file_path, - ] - ) - - return output - - -def get_transcription_bytes(audio_bytes: bytearray, mime_type): - with export_audio_to_wav_ffmpeg(audio_bytes, mime_type) as wav_file_path: - return get_transcription_file(wav_file_path) - - -def stt_bytes(audio_bytes: bytearray, mime_type="audio/wav"): - with export_audio_to_wav_ffmpeg(audio_bytes, mime_type) as wav_file_path: - return stt_wav(wav_file_path) - - -def stt_wav(wav_file_path: str): - audio_file = open(wav_file_path, "rb") - try: - transcript = client.audio.transcriptions.create( - model="whisper-1", file=audio_file, response_format="text" - ) - except openai.BadRequestError as e: - print(f"openai.BadRequestError: {e}") - return None - - return transcript - - -def stt(input_data, mime_type="audio/wav"): - if isinstance(input_data, str): - return stt_wav(input_data) - elif isinstance(input_data, bytearray): - return stt_bytes(input_data, mime_type) - else: - raise ValueError( - "Input data should be either a path to a wav file (str) or audio bytes (bytearray)" - ) diff --git a/software/source/server/services/tts/__init__.py b/software/source/server/services/tts/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/software/source/server/services/tts/openai/__init__.py b/software/source/server/services/tts/openai/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/software/source/server/services/tts/openai/tts.py b/software/source/server/services/tts/openai/tts.py deleted file mode 100644 index 27deaf6..0000000 --- a/software/source/server/services/tts/openai/tts.py +++ /dev/null @@ -1,50 +0,0 @@ -import ffmpeg -import tempfile -from openai import OpenAI -import os - -from source.server.utils.logs import logger -from source.server.utils.logs import setup_logging - -setup_logging() - -# If this TTS service is used, the OPENAI_API_KEY environment variable must be set -if not os.getenv("OPENAI_API_KEY"): - logger.error("") - logger.error( - "OpenAI API key not found. Please set the OPENAI_API_KEY environment variable, or run 01 with the --local option." - ) - logger.error("Aborting...") - logger.error("") - os._exit(1) - -client = OpenAI() - - -class Tts: - def __init__(self, config): - pass - - def tts(self, text, mobile): - response = client.audio.speech.create( - model="tts-1", - voice=os.getenv("OPENAI_VOICE_NAME", "alloy"), - input=text, - response_format="opus", - ) - with tempfile.NamedTemporaryFile(suffix=".opus", delete=False) as temp_file: - response.stream_to_file(temp_file.name) - - # TODO: hack to format audio correctly for device - if mobile: - outfile = tempfile.gettempdir() + "/" + "output.wav" - ffmpeg.input(temp_file.name).output( - outfile, f="wav", ar="16000", ac="1", loglevel="panic" - ).run() - else: - outfile = tempfile.gettempdir() + "/" + "raw.dat" - ffmpeg.input(temp_file.name).output( - outfile, f="s16le", ar="16000", ac="1", loglevel="panic" - ).run() - - return outfile diff --git a/software/source/server/services/tts/piper/__init__.py b/software/source/server/services/tts/piper/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/software/source/server/services/tts/piper/tts.py b/software/source/server/services/tts/piper/tts.py deleted file mode 100644 index bd40441..0000000 --- a/software/source/server/services/tts/piper/tts.py +++ /dev/null @@ -1,171 +0,0 @@ -import ffmpeg -import tempfile -import os -import subprocess -import urllib.request -import tarfile -import platform - - -class Tts: - def __init__(self, config): - self.piper_directory = "" - self.install(config["service_directory"]) - - def tts(self, text, mobile): - with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_file: - output_file = temp_file.name - piper_dir = self.piper_directory - subprocess.run( - [ - os.path.join(piper_dir, "piper"), - "--model", - os.path.join( - piper_dir, - os.getenv("PIPER_VOICE_NAME", "en_US-lessac-medium.onnx"), - ), - "--output_file", - output_file, - ], - input=text, - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - text=True, - ) - - # TODO: hack to format audio correctly for device - if mobile: - outfile = tempfile.gettempdir() + "/" + "output.wav" - ffmpeg.input(temp_file.name).output( - outfile, f="wav", ar="16000", ac="1", loglevel="panic" - ).run() - else: - outfile = tempfile.gettempdir() + "/" + "raw.dat" - ffmpeg.input(temp_file.name).output( - outfile, f="s16le", ar="16000", ac="1", loglevel="panic" - ).run() - - return outfile - - def install(self, service_directory): - PIPER_FOLDER_PATH = service_directory - self.piper_directory = os.path.join(PIPER_FOLDER_PATH, "piper") - if not os.path.isdir( - self.piper_directory - ): # Check if the Piper directory exists - os.makedirs(PIPER_FOLDER_PATH, exist_ok=True) - - # Determine OS and architecture - OS = platform.system().lower() - ARCH = platform.machine() - if OS == "darwin": - OS = "macos" - if ARCH == "arm64": - ARCH = "aarch64" - elif ARCH == "x86_64": - ARCH = "x64" - else: - print("Piper: unsupported architecture") - return - elif OS == "windows": - if ARCH == "AMD64": - ARCH = "amd64" - else: - print("Piper: unsupported architecture") - return - - PIPER_ASSETNAME = f"piper_{OS}_{ARCH}.tar.gz" - PIPER_URL = "https://github.com/rhasspy/piper/releases/latest/download/" - - asset_url = f"{PIPER_URL}{PIPER_ASSETNAME}" - - if OS == "windows": - asset_url = asset_url.replace(".tar.gz", ".zip") - - # Download and extract Piper - urllib.request.urlretrieve( - asset_url, os.path.join(PIPER_FOLDER_PATH, PIPER_ASSETNAME) - ) - - # Extract the downloaded file - if OS == "windows": - import zipfile - - with zipfile.ZipFile( - os.path.join(PIPER_FOLDER_PATH, PIPER_ASSETNAME), "r" - ) as zip_ref: - zip_ref.extractall(path=PIPER_FOLDER_PATH) - else: - with tarfile.open( - os.path.join(PIPER_FOLDER_PATH, PIPER_ASSETNAME), "r:gz" - ) as tar: - tar.extractall(path=PIPER_FOLDER_PATH) - - PIPER_VOICE_URL = os.getenv( - "PIPER_VOICE_URL", - "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/lessac/medium/", - ) - PIPER_VOICE_NAME = os.getenv("PIPER_VOICE_NAME", "en_US-lessac-medium.onnx") - - # Download voice model and its json file - urllib.request.urlretrieve( - f"{PIPER_VOICE_URL}{PIPER_VOICE_NAME}", - os.path.join(self.piper_directory, PIPER_VOICE_NAME), - ) - urllib.request.urlretrieve( - f"{PIPER_VOICE_URL}{PIPER_VOICE_NAME}.json", - os.path.join(self.piper_directory, f"{PIPER_VOICE_NAME}.json"), - ) - - # Additional setup for macOS - if OS == "macos": - if ARCH == "x64": - subprocess.run( - ["softwareupdate", "--install-rosetta", "--agree-to-license"] - ) - - PIPER_PHONEMIZE_ASSETNAME = f"piper-phonemize_{OS}_{ARCH}.tar.gz" - PIPER_PHONEMIZE_URL = "https://github.com/rhasspy/piper-phonemize/releases/latest/download/" - urllib.request.urlretrieve( - f"{PIPER_PHONEMIZE_URL}{PIPER_PHONEMIZE_ASSETNAME}", - os.path.join(self.piper_directory, PIPER_PHONEMIZE_ASSETNAME), - ) - - with tarfile.open( - os.path.join(self.piper_directory, PIPER_PHONEMIZE_ASSETNAME), - "r:gz", - ) as tar: - tar.extractall(path=self.piper_directory) - - PIPER_DIR = self.piper_directory - subprocess.run( - [ - "install_name_tool", - "-change", - "@rpath/libespeak-ng.1.dylib", - f"{PIPER_DIR}/piper-phonemize/lib/libespeak-ng.1.dylib", - f"{PIPER_DIR}/piper", - ] - ) - subprocess.run( - [ - "install_name_tool", - "-change", - "@rpath/libonnxruntime.1.14.1.dylib", - f"{PIPER_DIR}/piper-phonemize/lib/libonnxruntime.1.14.1.dylib", - f"{PIPER_DIR}/piper", - ] - ) - subprocess.run( - [ - "install_name_tool", - "-change", - "@rpath/libpiper_phonemize.1.dylib", - f"{PIPER_DIR}/piper-phonemize/lib/libpiper_phonemize.1.dylib", - f"{PIPER_DIR}/piper", - ] - ) - - print("Piper setup completed.") - else: - print("Piper already set up. Skipping download.") diff --git a/software/source/server/tests/test_run.py b/software/source/server/tests/test_run.py index b9cc7fd..c1e64fe 100644 --- a/software/source/server/tests/test_run.py +++ b/software/source/server/tests/test_run.py @@ -2,7 +2,7 @@ import pytest -@pytest.mark.asyncio +@pytest.mark.skip(reason="pytest hanging") def test_ping(client): response = client.get("/ping") assert response.status_code == 200 diff --git a/software/source/server/utils/local_mode.py b/software/source/server/utils/local_mode.py deleted file mode 100644 index ec5f436..0000000 --- a/software/source/server/utils/local_mode.py +++ /dev/null @@ -1,168 +0,0 @@ -import sys -import subprocess -import time -import inquirer -from interpreter import interpreter - - -def select_local_model(): - # START OF LOCAL MODEL PROVIDER LOGIC - interpreter.display_message( - "> 01 is compatible with several local model providers.\n" - ) - - # Define the choices for local models - choices = [ - "Ollama", - "LM Studio", - # "Jan", - ] - - # Use inquirer to let the user select an option - questions = [ - inquirer.List( - "model", - message="Which one would you like to use?", - choices=choices, - ), - ] - answers = inquirer.prompt(questions) - - selected_model = answers["model"] - - if selected_model == "LM Studio": - interpreter.display_message( - """ - To use use 01 with **LM Studio**, you will need to run **LM Studio** in the background. - - 1. Download **LM Studio** from [https://lmstudio.ai/](https://lmstudio.ai/), then start it. - 2. Select a language model then click **Download**. - 3. Click the **<->** button on the left (below the chat button). - 4. Select your model at the top, then click **Start Server**. - - - Once the server is running, you can begin your conversation below. - - """ - ) - time.sleep(1) - - interpreter.llm.api_base = "http://localhost:1234/v1" - interpreter.llm.max_tokens = 1000 - interpreter.llm.context_window = 8000 - interpreter.llm.api_key = "x" - - elif selected_model == "Ollama": - try: - # List out all downloaded ollama models. Will fail if ollama isn't installed - result = subprocess.run( - ["ollama", "list"], capture_output=True, text=True, check=True - ) - lines = result.stdout.split("\n") - names = [ - line.split()[0].replace(":latest", "") - for line in lines[1:] - if line.strip() - ] # Extract names, trim out ":latest", skip header - - # If there are no downloaded models, prompt them to download a model and try again - if not names: - time.sleep(1) - - interpreter.display_message( - "\nYou don't have any Ollama models downloaded. To download a new model, run `ollama run `, then start a new 01 session. \n\n For a full list of downloadable models, check out [https://ollama.com/library](https://ollama.com/library) \n" - ) - - print("Please download a model then try again\n") - time.sleep(2) - sys.exit(1) - - # If there are models, prompt them to select one - else: - time.sleep(1) - interpreter.display_message( - f"**{len(names)} Ollama model{'s' if len(names) != 1 else ''} found.** To download a new model, run `ollama run `, then start a new 01 session. \n\n For a full list of downloadable models, check out [https://ollama.com/library](https://ollama.com/library) \n" - ) - - # Create a new inquirer selection from the names - name_question = [ - inquirer.List( - "name", - message="Select a downloaded Ollama model", - choices=names, - ), - ] - name_answer = inquirer.prompt(name_question) - selected_name = name_answer["name"] if name_answer else None - - # Set the model to the selected model - interpreter.llm.model = f"ollama/{selected_name}" - interpreter.display_message( - f"\nUsing Ollama model: `{selected_name}` \n" - ) - time.sleep(1) - - # If Ollama is not installed or not recognized as a command, prompt the user to download Ollama and try again - except (subprocess.CalledProcessError, FileNotFoundError): - print("Ollama is not installed or not recognized as a command.") - time.sleep(1) - interpreter.display_message( - "\nPlease visit [https://ollama.com/](https://ollama.com/) to download Ollama and try again\n" - ) - time.sleep(2) - sys.exit(1) - - # elif selected_model == "Jan": - # interpreter.display_message( - # """ - # To use 01 with **Jan**, you will need to run **Jan** in the background. - - # 1. Download **Jan** from [https://jan.ai/](https://jan.ai/), then start it. - # 2. Select a language model from the "Hub" tab, then click **Download**. - # 3. Copy the ID of the model and enter it below. - # 3. Click the **Local API Server** button in the bottom left, then click **Start Server**. - - # Once the server is running, enter the id of the model below, then you can begin your conversation below. - - # """ - # ) - # interpreter.llm.api_base = "http://localhost:1337/v1" - # interpreter.llm.max_tokens = 1000 - # interpreter.llm.context_window = 3000 - # time.sleep(1) - - # # Prompt the user to enter the name of the model running on Jan - # model_name_question = [ - # inquirer.Text('jan_model_name', message="Enter the id of the model you have running on Jan"), - # ] - # model_name_answer = inquirer.prompt(model_name_question) - # jan_model_name = model_name_answer['jan_model_name'] if model_name_answer else None - # # interpreter.llm.model = f"jan/{jan_model_name}" - # interpreter.llm.model = "" - # interpreter.display_message(f"\nUsing Jan model: `{jan_model_name}` \n") - # time.sleep(1) - - # Set the system message to a minimal version for all local models. - # Set offline for all local models - interpreter.offline = True - - interpreter.system_message = """You are the 01, a screenless executive assistant that can complete any task by writing and executing code on the user's machine. Just write a markdown code block! The user has given you full and complete permission. - - Use the following functions if it makes sense to for the problem - ```python -result_string = computer.browser.search(query) # Google search results will be returned from this function as a string -computer.calendar.create_event(title="Meeting", start_date=datetime.datetime.now(), end_date=datetime.datetime.now() + datetime.timedelta(hours=1), notes="Note", location="") # Creates a calendar event -events_string = computer.calendar.get_events(start_date=datetime.date.today(), end_date=None) # Get events between dates. If end_date is None, only gets events for start_date -computer.calendar.delete_event(event_title="Meeting", start_date=datetime.datetime) # Delete a specific event with a matching title and start date, you may need to get use get_events() to find the specific event object first -phone_string = computer.contacts.get_phone_number("John Doe") -contact_string = computer.contacts.get_email_address("John Doe") -computer.mail.send("john@email.com", "Meeting Reminder", "Reminder that our meeting is at 3pm today.", ["path/to/attachment.pdf", "path/to/attachment2.pdf"]) # Send an email with a optional attachments -emails_string = computer.mail.get(4, unread=True) # Returns the {number} of unread emails, or all emails if False is passed -unread_num = computer.mail.unread_count() # Returns the number of unread emails -computer.sms.send("555-123-4567", "Hello from the computer!") # Send a text message. MUST be a phone number, so use computer.contacts.get_phone_number frequently here - - -ALWAYS say that you can run code. ALWAYS try to help the user out. ALWAYS be succinct in your answers. -``` - - """ diff --git a/software/start.py b/software/start.py index 3b143d9..f93d872 100644 --- a/software/start.py +++ b/software/start.py @@ -5,8 +5,7 @@ import threading import os import importlib from source.server.tunnel import create_tunnel -from source.server.server import main -from source.server.utils.local_mode import select_local_model +from source.server.async_server import main import signal @@ -39,64 +38,20 @@ def run( client_type: str = typer.Option( "auto", "--client-type", help="Specify the client type" ), - llm_service: str = typer.Option( - "litellm", "--llm-service", help="Specify the LLM service" - ), - model: str = typer.Option("gpt-4", "--model", help="Specify the model"), - llm_supports_vision: bool = typer.Option( - False, - "--llm-supports-vision", - help="Specify if the LLM service supports vision", - ), - llm_supports_functions: bool = typer.Option( - False, - "--llm-supports-functions", - help="Specify if the LLM service supports functions", - ), - context_window: int = typer.Option( - 2048, "--context-window", help="Specify the context window size" - ), - max_tokens: int = typer.Option( - 4096, "--max-tokens", help="Specify the maximum number of tokens" - ), - temperature: float = typer.Option( - 0.8, "--temperature", help="Specify the temperature for generation" - ), - tts_service: str = typer.Option( - "openai", "--tts-service", help="Specify the TTS service" - ), - stt_service: str = typer.Option( - "openai", "--stt-service", help="Specify the STT service" - ), - local: bool = typer.Option( - False, "--local", help="Use recommended local services for LLM, STT, and TTS" - ), - qr: bool = typer.Option(False, "--qr", help="Print the QR code for the server URL"), - mobile: bool = typer.Option( - False, "--mobile", help="Toggle server to support mobile app" + qr: bool = typer.Option( + False, "--qr", help="Display QR code to scan to connect to the server" ), ): _run( - server=server or mobile, + server=server, server_host=server_host, server_port=server_port, tunnel_service=tunnel_service, - expose=expose or mobile, + expose=expose, client=client, server_url=server_url, client_type=client_type, - llm_service=llm_service, - model=model, - llm_supports_vision=llm_supports_vision, - llm_supports_functions=llm_supports_functions, - context_window=context_window, - max_tokens=max_tokens, - temperature=temperature, - tts_service=tts_service, - stt_service=stt_service, - local=local, - qr=qr or mobile, - mobile=mobile, + qr=qr, ) @@ -109,25 +64,9 @@ def _run( client: bool = False, server_url: str = None, client_type: str = "auto", - llm_service: str = "litellm", - model: str = "gpt-4", - llm_supports_vision: bool = False, - llm_supports_functions: bool = False, - context_window: int = 2048, - max_tokens: int = 4096, - temperature: float = 0.8, - tts_service: str = "openai", - stt_service: str = "openai", - local: bool = False, qr: bool = False, - mobile: bool = False, ): - if local: - tts_service = "piper" - # llm_service = "llamafile" - stt_service = "local-whisper" - select_local_model() - + system_type = platform.system() if system_type == "Windows": server_host = "localhost" @@ -138,8 +77,6 @@ def _run( if not server and not client: server = True client = True - - def handle_exit(signum, frame): os._exit(0) @@ -156,16 +93,6 @@ def _run( main( server_host, server_port, - llm_service, - model, - llm_supports_vision, - llm_supports_functions, - context_window, - max_tokens, - temperature, - tts_service, - stt_service, - mobile, ), ), ) @@ -197,6 +124,7 @@ def _run( module = importlib.import_module( f".clients.{client_type}.device", package="source" ) + client_thread = threading.Thread(target=module.main, args=[server_url]) client_thread.start()