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from fastapi import FastAPI, WebSocket,WebSocketDisconnect
import asyncio
import base64
from src.core.speechtotext import SpeechToText
from src.core.texttospeech import TextToSpeech
from src.core.texttotext import ConversationHandler
import os
app = FastAPI()
spt = SpeechToText()
ttt = ConversationHandler()
tts = TextToSpeech()
@app.websocket("/ws/voicechat")
async def websocket_endpoint(websocket: WebSocket):
await websocket.accept()
print("User connected.")
audio_buffer = bytearray()
try:
while True:
try:
audio_data = await asyncio.wait_for(websocket.receive_bytes(), timeout=3.0)
print(f"Received {len(audio_data)} bytes")
audio_buffer.extend(audio_data)
except asyncio.TimeoutError:
if len(audio_buffer) > 0:
print("Silence detected. Processing speech...")
transcript = await spt.trancribe_audio(audio_buffer)
audio_buffer.clear()
if transcript:
print(f"User said: {transcript}")
response = await ttt.handle_conversation(transcript)
if response:
print(f"AI Response: {response}")
audio = await tts.synthesize(response)
audio_base64 = base64.b64encode(audio).decode("utf-8")
await websocket.send_json({
"transcript": transcript,
"response": response,
"audio": audio_base64,
"status": "complete"
})
await websocket.receive_text()
except Exception as e:
print(f"Error: {e}")
except WebSocketDisconnect:
print("User disconnected.")
if __name__ == '__main__':
import uvicorn
uvicorn.run(app,port=7860,host= "0.0.0.0",
timeout_keep_alive=300, timeout_graceful_shutdown=600) |