Error handling

OS/01/assistant/assistant.py

@@ -69,6 +69,8 @@ def queue_listener():
                 audio_file.extend(bytes(ast.literal_eval(message["content"])))
             if "end" in message:
                 content = stt(audio_file, message["format"])
+                if content == None: # If it was nothing / silence
+                    continue
                 audio_file = bytearray()
                 message = {"role": "user", "type": "message", "content": content}
             else:

OS/01/assistant/conversations/user.json

@@ -1 +1 @@
-[{"role": "user", "type": "message", "content": ".\n"}, {"role": "user", "type": "message", "content": "Oh wait, does this work?\n"}]
+[]

OS/01/assistant/stt.py

@@ -8,8 +8,9 @@ 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:
@@ -48,11 +49,15 @@ def export_audio_to_wav_ffmpeg(audio: bytearray, mime_type: str) -> str:
 def stt(audio_bytes: bytearray, mime_type):
     with export_audio_to_wav_ffmpeg(audio_bytes, mime_type) as wav_file_path:
         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("openai.BadRequestError:", e)
+            return None
 
         print("Exciting transcription result:", transcript)
         return transcript

OS/01/user/user.py

@@ -106,8 +106,6 @@ def on_release(key):
         toggle_recording(False)
 
 def main():
-    import time
-    time.sleep(10)
     # Start the WebSocket communication in a separate asyncio event loop
     ws_thread = threading.Thread(target=lambda: asyncio.run(websocket_communication()), daemon=True)
     ws_thread.start()