File size: 6,592 Bytes
c9e5647 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 |
import os
import logging
from fastapi import (
FastAPI,
Request,
Depends,
HTTPException,
status,
UploadFile,
File,
Form,
)
from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
from fastapi.middleware.cors import CORSMiddleware
from faster_whisper import WhisperModel
from pydantic import BaseModel
import requests
import hashlib
from pathlib import Path
import json
from constants import ERROR_MESSAGES
from utils.utils import (
decode_token,
get_current_user,
get_verified_user,
get_admin_user,
)
from utils.misc import calculate_sha256
from config import (
SRC_LOG_LEVELS,
CACHE_DIR,
UPLOAD_DIR,
WHISPER_MODEL,
WHISPER_MODEL_DIR,
WHISPER_MODEL_AUTO_UPDATE,
DEVICE_TYPE,
AUDIO_OPENAI_API_BASE_URL,
AUDIO_OPENAI_API_KEY,
AUDIO_OPENAI_API_MODEL,
AUDIO_OPENAI_API_VOICE,
AppConfig,
)
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["AUDIO"])
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.state.config = AppConfig()
app.state.config.OPENAI_API_BASE_URL = AUDIO_OPENAI_API_BASE_URL
app.state.config.OPENAI_API_KEY = AUDIO_OPENAI_API_KEY
app.state.config.OPENAI_API_MODEL = AUDIO_OPENAI_API_MODEL
app.state.config.OPENAI_API_VOICE = AUDIO_OPENAI_API_VOICE
# setting device type for whisper model
whisper_device_type = DEVICE_TYPE if DEVICE_TYPE and DEVICE_TYPE == "cuda" else "cpu"
log.info(f"whisper_device_type: {whisper_device_type}")
SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
class OpenAIConfigUpdateForm(BaseModel):
url: str
key: str
model: str
speaker: str
@app.get("/config")
async def get_openai_config(user=Depends(get_admin_user)):
return {
"OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
"OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
"OPENAI_API_MODEL": app.state.config.OPENAI_API_MODEL,
"OPENAI_API_VOICE": app.state.config.OPENAI_API_VOICE,
}
@app.post("/config/update")
async def update_openai_config(
form_data: OpenAIConfigUpdateForm, user=Depends(get_admin_user)
):
if form_data.key == "":
raise HTTPException(status_code=400, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
app.state.config.OPENAI_API_BASE_URL = form_data.url
app.state.config.OPENAI_API_KEY = form_data.key
app.state.config.OPENAI_API_MODEL = form_data.model
app.state.config.OPENAI_API_VOICE = form_data.speaker
return {
"status": True,
"OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
"OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
"OPENAI_API_MODEL": app.state.config.OPENAI_API_MODEL,
"OPENAI_API_VOICE": app.state.config.OPENAI_API_VOICE,
}
@app.post("/speech")
async def speech(request: Request, user=Depends(get_verified_user)):
body = await request.body()
name = hashlib.sha256(body).hexdigest()
file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
# Check if the file already exists in the cache
if file_path.is_file():
return FileResponse(file_path)
headers = {}
headers["Authorization"] = f"Bearer {app.state.config.OPENAI_API_KEY}"
headers["Content-Type"] = "application/json"
r = None
try:
r = requests.post(
url=f"{app.state.config.OPENAI_API_BASE_URL}/audio/speech",
data=body,
headers=headers,
stream=True,
)
r.raise_for_status()
# Save the streaming content to a file
with open(file_path, "wb") as f:
for chunk in r.iter_content(chunk_size=8192):
f.write(chunk)
with open(file_body_path, "w") as f:
json.dump(json.loads(body.decode("utf-8")), f)
# Return the saved file
return FileResponse(file_path)
except Exception as e:
log.exception(e)
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"External: {res['error']['message']}"
except:
error_detail = f"External: {e}"
raise HTTPException(
status_code=r.status_code if r != None else 500,
detail=error_detail,
)
@app.post("/transcriptions")
def transcribe(
file: UploadFile = File(...),
user=Depends(get_current_user),
):
log.info(f"file.content_type: {file.content_type}")
if file.content_type not in ["audio/mpeg", "audio/wav"]:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.FILE_NOT_SUPPORTED,
)
try:
filename = file.filename
file_path = f"{UPLOAD_DIR}/{filename}"
contents = file.file.read()
with open(file_path, "wb") as f:
f.write(contents)
f.close()
whisper_kwargs = {
"model_size_or_path": WHISPER_MODEL,
"device": whisper_device_type,
"compute_type": "int8",
"download_root": WHISPER_MODEL_DIR,
"local_files_only": not WHISPER_MODEL_AUTO_UPDATE,
}
log.debug(f"whisper_kwargs: {whisper_kwargs}")
try:
model = WhisperModel(**whisper_kwargs)
except:
log.warning(
"WhisperModel initialization failed, attempting download with local_files_only=False"
)
whisper_kwargs["local_files_only"] = False
model = WhisperModel(**whisper_kwargs)
segments, info = model.transcribe(file_path, beam_size=5)
log.info(
"Detected language '%s' with probability %f"
% (info.language, info.language_probability)
)
transcript = "".join([segment.text for segment in list(segments)])
return {"text": transcript.strip()}
except Exception as e:
log.exception(e)
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=ERROR_MESSAGES.DEFAULT(e),
)
|