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swarms/apps/open-sourcerer/main.py

136 lines
3.8 KiB

import os
import discord
from discord.ext import commands
import interpreter
import dotenv
import whisper
dotenv.load_dotenv(".env")
bot_id = os.getenv("BOT_ID")
bot_token = os.getenv("DISCORD_TOKEN")
interpreter.api_key = os.getenv("OPENAI_API_KEY")
# interpreter.api_base = os.getenv("API_BASE")
# interpreter.auto_run = True
def split_text(text, chunk_size=1500):
#########################################################################
return [text[i : i + chunk_size] for i in range(0, len(text), chunk_size)]
# discord initial
intents = discord.Intents.all()
intents.message_content = True
client = commands.Bot(command_prefix="$", intents=intents)
message_chunks = []
send_image = False
model = whisper.load_model("base")
def transcribe(audio):
# load audio and pad/trim it to fit 30 seconds
audio = whisper.load_audio(audio)
audio = whisper.pad_or_trim(audio)
# make log-Mel spectrogram and move to the same device as the model
mel = whisper.log_mel_spectrogram(audio).to(model.device)
# detect the spoken language
_, probs = model.detect_language(mel)
# decode the audio
options = whisper.DecodingOptions()
result = whisper.decode(model, mel, options)
return result.text
@client.event
async def on_message(message):
await client.process_commands(message)
bot_mention = f"<@{bot_id}>"
# if ("<@1158923910855798804>" in message.content) or (message.author == client.user or message.content[0] == '$'):
# return
response = []
for chunk in interpreter.chat(message.content, display=False, stream=False):
# await message.channel.send(chunk)
if "message" in chunk:
response.append(chunk["message"])
last_response = response[-1]
max_message_length = 2000 # Discord's max message length is 2000 characters
# Splitting the message into chunks of 2000 characters
response_chunks = [
last_response[i : i + max_message_length]
for i in range(0, len(last_response), max_message_length)
]
# Sending each chunk as a separate message
for chunk in response_chunks:
await message.channel.send(chunk)
@client.command()
async def join(ctx):
if ctx.author.voice:
channel = ctx.message.author.voice.channel
print("joining..")
await channel.connect()
print("joined.")
else:
print("not in a voice channel!")
@client.command()
async def leave(ctx):
if ctx.voice_client:
await ctx.voice_client.disconnect()
else:
print("not in a voice channel!")
@client.command()
async def listen(ctx):
if ctx.voice_client:
print("trying to listen..")
ctx.voice_client.start_recording(discord.sinks.WaveSink(), callback, ctx)
print("listening..")
else:
print("not in a voice channel!")
async def callback(sink: discord.sinks, ctx):
print("in callback..")
for user_id, audio in sink.audio_data.items():
if user_id == ctx.author.id:
print("saving audio..")
audio: discord.sinks.core.AudioData = audio
print(user_id)
filename = "audio.wav"
with open(filename, "wb") as f:
f.write(audio.file.getvalue())
print("audio saved.")
transcription = transcribe(filename)
print(transcription)
response = []
for chunk in interpreter.chat(transcription, display=False, stream=True):
# await message.channel.send(chunk)
if "message" in chunk:
response.append(chunk["message"])
await ctx.message.channel.send(" ".join(response))
@client.command()
async def stop(ctx):
ctx.voice_client.stop_recording()
@client.event
async def on_ready():
print(f"We have logged in as {client.user}")
client.run(bot_token)