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import asyncio
import os
import uuid
from fastapi import APIRouter, Depends, HTTPException, Path, WebSocket, WebSocketDisconnect, Query
from firebase_admin import auth
from firebase_admin.exceptions import FirebaseError
from requests import Session
from realtime_ai_character.audio.speech_to_text import (SpeechToText,
get_speech_to_text)
from realtime_ai_character.audio.text_to_speech import (TextToSpeech,
get_text_to_speech)
from realtime_ai_character.character_catalog.catalog_manager import (
CatalogManager, get_catalog_manager)
from realtime_ai_character.database.connection import get_db
from realtime_ai_character.llm import (AsyncCallbackAudioHandler,
AsyncCallbackTextHandler, get_llm, LLM)
from realtime_ai_character.logger import get_logger
from realtime_ai_character.models.interaction import Interaction
from realtime_ai_character.utils import (ConversationHistory, build_history,
get_connection_manager)
logger = get_logger(__name__)
router = APIRouter()
manager = get_connection_manager()
GREETING_TXT = 'Hi, my friend, what brings you here today?'
async def get_current_user(token: str):
"""Heler function for auth with Firebase."""
if not token:
return ""
try:
decoded_token = auth.verify_id_token(token)
except FirebaseError as e:
logger.info(f'Receveid invalid token: {token} with error {e}')
raise HTTPException(status_code=401,
detail="Invalid authentication credentials")
return decoded_token['uid']
@router.websocket("/ws/{client_id}")
async def websocket_endpoint(websocket: WebSocket,
client_id: int = Path(...),
api_key: str = Query(None),
llm_model: str = Query(default=os.getenv(
'LLM_MODEL_USE', 'gpt-3.5-turbo-16k')),
token: str = Query(None),
db: Session = Depends(get_db),
catalog_manager=Depends(get_catalog_manager),
speech_to_text=Depends(get_speech_to_text),
text_to_speech=Depends(get_text_to_speech)):
# Default user_id to client_id. If auth is enabled and token is provided, use
# the user_id from the token.
user_id = str(client_id)
if os.getenv('USE_AUTH', ''):
# Do not allow anonymous users to use non-GPT3.5 model.
if not token and llm_model != 'gpt-3.5-turbo-16k':
await websocket.close(code=1008, reason="Unauthorized")
return
try:
user_id = await get_current_user(token)
except HTTPException:
await websocket.close(code=1008, reason="Unauthorized")
return
llm = get_llm(model=llm_model)
await manager.connect(websocket)
try:
main_task = asyncio.create_task(
handle_receive(websocket, client_id, db, llm, catalog_manager,
speech_to_text, text_to_speech))
await asyncio.gather(main_task)
except WebSocketDisconnect:
await manager.disconnect(websocket)
await manager.broadcast_message(f"User #{user_id} left the chat")
async def handle_receive(websocket: WebSocket, client_id: int, db: Session,
llm: LLM, catalog_manager: CatalogManager,
speech_to_text: SpeechToText,
text_to_speech: TextToSpeech):
try:
conversation_history = ConversationHistory()
# TODO: clean up client_id once migration is done.
user_id = str(client_id)
session_id = str(uuid.uuid4().hex)
# 0. Receive client platform info (web, mobile, terminal)
data = await websocket.receive()
if data['type'] != 'websocket.receive':
raise WebSocketDisconnect('disconnected')
platform = data['text']
logger.info(f"User #{user_id}:{platform} connected to server with "
f"session_id {session_id}")
# 1. User selected a character
character = None
character_list = list(catalog_manager.characters.keys())
user_input_template = 'Context:{context}\n User:{query}'
while not character:
character_message = "\n".join([
f"{i+1} - {character}"
for i, character in enumerate(character_list)
])
await manager.send_message(
message=
f"Select your character by entering the corresponding number:\n"
f"{character_message}\n",
websocket=websocket)
data = await websocket.receive()
if data['type'] != 'websocket.receive':
raise WebSocketDisconnect('disconnected')
if not character and 'text' in data:
selection = int(data['text'])
if selection > len(character_list) or selection < 1:
await manager.send_message(
message=
f"Invalid selection. Select your character ["
f"{', '.join(catalog_manager.characters.keys())}]\n",
websocket=websocket)
continue
character = catalog_manager.get_character(
character_list[selection - 1])
conversation_history.system_prompt = character.llm_system_prompt
user_input_template = character.llm_user_prompt
logger.info(
f"User #{user_id} selected character: {character.name}")
tts_event = asyncio.Event()
tts_task = None
previous_transcript = None
token_buffer = []
# Greet the user
await manager.send_message(message=GREETING_TXT, websocket=websocket)
tts_task = asyncio.create_task(
text_to_speech.stream(
text=GREETING_TXT,
websocket=websocket,
tts_event=tts_event,
characater_name=character.name,
first_sentence=True,
))
# Send end of the greeting so the client knows when to start listening
await manager.send_message(message='[end]\n', websocket=websocket)
async def on_new_token(token):
return await manager.send_message(message=token,
websocket=websocket)
async def stop_audio():
if tts_task and not tts_task.done():
tts_event.set()
tts_task.cancel()
if previous_transcript:
conversation_history.user.append(previous_transcript)
conversation_history.ai.append(' '.join(token_buffer))
token_buffer.clear()
try:
await tts_task
except asyncio.CancelledError:
pass
tts_event.clear()
while True:
data = await websocket.receive()
if data['type'] != 'websocket.receive':
raise WebSocketDisconnect('disconnected')
# handle text message
if 'text' in data:
msg_data = data['text']
# 0. itermidiate transcript starts with [&]
if msg_data.startswith('[&]'):
logger.info(f'intermediate transcript: {msg_data}')
if not os.getenv('EXPERIMENT_CONVERSATION_UTTERANCE', ''):
continue
asyncio.create_task(stop_audio())
asyncio.create_task(
llm.achat_utterances(
history=build_history(conversation_history),
user_input=msg_data,
callback=AsyncCallbackTextHandler(
on_new_token, []),
audioCallback=AsyncCallbackAudioHandler(
text_to_speech, websocket, tts_event,
character.name)))
continue
# 1. Send message to LLM
print('response = await llm.achat, user_input', msg_data)
response = await llm.achat(
history=build_history(conversation_history),
user_input=msg_data,
user_input_template=user_input_template,
callback=AsyncCallbackTextHandler(on_new_token,
token_buffer),
audioCallback=AsyncCallbackAudioHandler(
text_to_speech, websocket, tts_event, character.name),
character=character)
# 2. Send response to client
await manager.send_message(message='[end]\n',
websocket=websocket)
# 3. Update conversation history
conversation_history.user.append(msg_data)
conversation_history.ai.append(response)
token_buffer.clear()
# 4. Persist interaction in the database
Interaction(client_id=client_id,
user_id=user_id,
session_id=session_id,
client_message_unicode=msg_data,
server_message_unicode=response,
platform=platform,
action_type='text').save(db)
# handle binary message(audio)
elif 'bytes' in data:
binary_data = data['bytes']
# 1. Transcribe audio
transcript: str = speech_to_text.transcribe(
binary_data, platform=platform,
prompt=character.name).strip()
# ignore audio that picks up background noise
if (not transcript or len(transcript) < 2):
continue
# 2. Send transcript to client
await manager.send_message(
message=f'[+]You said: {transcript}', websocket=websocket)
# 3. stop the previous audio stream, if new transcript is received
await stop_audio()
previous_transcript = transcript
async def tts_task_done_call_back(response):
# Send response to client, [=] indicates the response is done
await manager.send_message(message='[=]',
websocket=websocket)
# Update conversation history
conversation_history.user.append(transcript)
conversation_history.ai.append(response)
token_buffer.clear()
# Persist interaction in the database
Interaction(client_id=client_id,
user_id=user_id,
session_id=session_id,
client_message_unicode=transcript,
server_message_unicode=response,
platform=platform,
action_type='audio').save(db)
# 4. Send message to LLM
tts_task = asyncio.create_task(
llm.achat(history=build_history(conversation_history),
user_input=transcript,
user_input_template=user_input_template,
callback=AsyncCallbackTextHandler(
on_new_token, token_buffer,
tts_task_done_call_back),
audioCallback=AsyncCallbackAudioHandler(
text_to_speech, websocket, tts_event,
character.name),
character=character))
except WebSocketDisconnect:
logger.info(f"User #{user_id} closed the connection")
await manager.disconnect(websocket)
return
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