mirror of
https://github.com/open-webui/open-webui
synced 2024-11-29 07:21:01 +00:00
318 lines
9.4 KiB
Python
318 lines
9.4 KiB
Python
import os
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import logging
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from fastapi import (
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FastAPI,
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Request,
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Depends,
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HTTPException,
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status,
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UploadFile,
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File,
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Form,
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)
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from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
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from fastapi.middleware.cors import CORSMiddleware
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from faster_whisper import WhisperModel
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from pydantic import BaseModel
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import uuid
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import requests
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import hashlib
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from pathlib import Path
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import json
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from constants import ERROR_MESSAGES
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from utils.utils import (
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decode_token,
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get_current_user,
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get_verified_user,
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get_admin_user,
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)
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from utils.misc import calculate_sha256
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from config import (
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SRC_LOG_LEVELS,
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CACHE_DIR,
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UPLOAD_DIR,
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WHISPER_MODEL,
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WHISPER_MODEL_DIR,
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WHISPER_MODEL_AUTO_UPDATE,
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DEVICE_TYPE,
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AUDIO_STT_OPENAI_API_BASE_URL,
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AUDIO_STT_OPENAI_API_KEY,
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AUDIO_TTS_OPENAI_API_BASE_URL,
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AUDIO_TTS_OPENAI_API_KEY,
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AUDIO_STT_ENGINE,
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AUDIO_STT_MODEL,
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AUDIO_TTS_ENGINE,
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AUDIO_TTS_MODEL,
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AUDIO_TTS_VOICE,
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AppConfig,
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)
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["AUDIO"])
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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app.state.config = AppConfig()
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app.state.config.STT_OPENAI_API_BASE_URL = AUDIO_STT_OPENAI_API_BASE_URL
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app.state.config.STT_OPENAI_API_KEY = AUDIO_STT_OPENAI_API_KEY
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app.state.config.STT_ENGINE = AUDIO_STT_ENGINE
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app.state.config.STT_MODEL = AUDIO_STT_MODEL
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app.state.config.TTS_OPENAI_API_BASE_URL = AUDIO_TTS_OPENAI_API_BASE_URL
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app.state.config.TTS_OPENAI_API_KEY = AUDIO_TTS_OPENAI_API_KEY
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app.state.config.TTS_ENGINE = AUDIO_TTS_ENGINE
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app.state.config.TTS_MODEL = AUDIO_TTS_MODEL
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app.state.config.TTS_VOICE = AUDIO_TTS_VOICE
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# setting device type for whisper model
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whisper_device_type = DEVICE_TYPE if DEVICE_TYPE and DEVICE_TYPE == "cuda" else "cpu"
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log.info(f"whisper_device_type: {whisper_device_type}")
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SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
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SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
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class TTSConfigForm(BaseModel):
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OPENAI_API_BASE_URL: str
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OPENAI_API_KEY: str
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ENGINE: str
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MODEL: str
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VOICE: str
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class STTConfigForm(BaseModel):
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OPENAI_API_BASE_URL: str
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OPENAI_API_KEY: str
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ENGINE: str
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MODEL: str
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class AudioConfigUpdateForm(BaseModel):
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tts: TTSConfigForm
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stt: STTConfigForm
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@app.get("/config")
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async def get_audio_config(user=Depends(get_admin_user)):
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return {
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"tts": {
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"OPENAI_API_BASE_URL": app.state.config.TTS_OPENAI_API_BASE_URL,
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"OPENAI_API_KEY": app.state.config.TTS_OPENAI_API_KEY,
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"ENGINE": app.state.config.TTS_ENGINE,
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"MODEL": app.state.config.TTS_MODEL,
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"VOICE": app.state.config.TTS_VOICE,
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},
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"stt": {
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"OPENAI_API_BASE_URL": app.state.config.STT_OPENAI_API_BASE_URL,
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"OPENAI_API_KEY": app.state.config.STT_OPENAI_API_KEY,
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"ENGINE": app.state.config.STT_ENGINE,
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"MODEL": app.state.config.STT_MODEL,
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},
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}
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@app.post("/config/update")
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async def update_audio_config(
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form_data: AudioConfigUpdateForm, user=Depends(get_admin_user)
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):
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app.state.config.TTS_OPENAI_API_BASE_URL = form_data.tts.OPENAI_API_BASE_URL
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app.state.config.TTS_OPENAI_API_KEY = form_data.tts.OPENAI_API_KEY
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app.state.config.TTS_ENGINE = form_data.tts.ENGINE
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app.state.config.TTS_MODEL = form_data.tts.MODEL
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app.state.config.TTS_VOICE = form_data.tts.VOICE
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app.state.config.STT_OPENAI_API_BASE_URL = form_data.stt.OPENAI_API_BASE_URL
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app.state.config.STT_OPENAI_API_KEY = form_data.stt.OPENAI_API_KEY
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app.state.config.STT_ENGINE = form_data.stt.ENGINE
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app.state.config.STT_MODEL = form_data.stt.MODEL
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return {
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"tts": {
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"OPENAI_API_BASE_URL": app.state.config.TTS_OPENAI_API_BASE_URL,
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"OPENAI_API_KEY": app.state.config.TTS_OPENAI_API_KEY,
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"ENGINE": app.state.config.TTS_ENGINE,
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"MODEL": app.state.config.TTS_MODEL,
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"VOICE": app.state.config.TTS_VOICE,
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},
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"stt": {
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"OPENAI_API_BASE_URL": app.state.config.STT_OPENAI_API_BASE_URL,
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"OPENAI_API_KEY": app.state.config.STT_OPENAI_API_KEY,
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"ENGINE": app.state.config.STT_ENGINE,
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"MODEL": app.state.config.STT_MODEL,
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},
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}
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@app.post("/speech")
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async def speech(request: Request, user=Depends(get_verified_user)):
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body = await request.body()
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name = hashlib.sha256(body).hexdigest()
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file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
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file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
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# Check if the file already exists in the cache
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if file_path.is_file():
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return FileResponse(file_path)
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headers = {}
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headers["Authorization"] = f"Bearer {app.state.config.TTS_OPENAI_API_KEY}"
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headers["Content-Type"] = "application/json"
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r = None
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try:
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r = requests.post(
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url=f"{app.state.config.TTS_OPENAI_API_BASE_URL}/audio/speech",
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data=body,
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headers=headers,
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stream=True,
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)
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r.raise_for_status()
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# Save the streaming content to a file
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with open(file_path, "wb") as f:
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for chunk in r.iter_content(chunk_size=8192):
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f.write(chunk)
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with open(file_body_path, "w") as f:
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json.dump(json.loads(body.decode("utf-8")), f)
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# Return the saved file
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return FileResponse(file_path)
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except Exception as e:
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log.exception(e)
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error_detail = "Open WebUI: Server Connection Error"
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if r is not None:
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try:
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res = r.json()
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if "error" in res:
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error_detail = f"External: {res['error']['message']}"
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except:
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error_detail = f"External: {e}"
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raise HTTPException(
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status_code=r.status_code if r != None else 500,
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detail=error_detail,
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)
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@app.post("/transcriptions")
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def transcribe(
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file: UploadFile = File(...),
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user=Depends(get_current_user),
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):
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log.info(f"file.content_type: {file.content_type}")
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if file.content_type not in ["audio/mpeg", "audio/wav"]:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=ERROR_MESSAGES.FILE_NOT_SUPPORTED,
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)
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try:
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ext = file.filename.split(".")[-1]
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id = uuid.uuid4()
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filename = f"{id}.{ext}"
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file_dir = f"{CACHE_DIR}/audio/transcriptions"
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os.makedirs(file_dir, exist_ok=True)
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file_path = f"{file_dir}/{filename}"
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contents = file.file.read()
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with open(file_path, "wb") as f:
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f.write(contents)
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f.close()
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if app.state.config.STT_ENGINE == "":
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whisper_kwargs = {
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"model_size_or_path": WHISPER_MODEL,
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"device": whisper_device_type,
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"compute_type": "int8",
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"download_root": WHISPER_MODEL_DIR,
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"local_files_only": not WHISPER_MODEL_AUTO_UPDATE,
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}
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log.debug(f"whisper_kwargs: {whisper_kwargs}")
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try:
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model = WhisperModel(**whisper_kwargs)
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except:
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log.warning(
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"WhisperModel initialization failed, attempting download with local_files_only=False"
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)
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whisper_kwargs["local_files_only"] = False
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model = WhisperModel(**whisper_kwargs)
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segments, info = model.transcribe(file_path, beam_size=5)
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log.info(
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"Detected language '%s' with probability %f"
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% (info.language, info.language_probability)
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)
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transcript = "".join([segment.text for segment in list(segments)])
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# save the transcript to a json file
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transcript_file = f"{file_dir}/{id}.json"
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with open(transcript_file, "w") as f:
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json.dump({"transcript": transcript}, f)
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return {"text": transcript.strip()}
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elif app.state.config.STT_ENGINE == "openai":
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headers = {"Authorization": f"Bearer {app.state.config.STT_OPENAI_API_KEY}"}
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files = {"file": (filename, open(file_path, "rb"))}
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data = {"model": "whisper-1"}
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r = None
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try:
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r = requests.post(
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url=f"{app.state.config.STT_OPENAI_API_BASE_URL}/audio/transcriptions",
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headers=headers,
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files=files,
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data=data,
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)
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r.raise_for_status()
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return r.json()
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except Exception as e:
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log.exception(e)
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error_detail = "Open WebUI: Server Connection Error"
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if r is not None:
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try:
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res = r.json()
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if "error" in res:
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error_detail = f"External: {res['error']['message']}"
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except:
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error_detail = f"External: {e}"
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raise HTTPException(
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status_code=r.status_code if r != None else 500,
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detail=error_detail,
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)
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except Exception as e:
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log.exception(e)
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=ERROR_MESSAGES.DEFAULT(e),
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)
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