EduLearnAI / transcription_routes.py
mominah's picture
Create transcription_routes.py
93badc8 verified
raw
history blame
2.03 kB
# transcription_routes.py
import os
import io
from fastapi import APIRouter, File, UploadFile, HTTPException, Request
from fastapi.responses import JSONResponse
from groq import Groq
from groq.errors import GroqError
router = APIRouter()
# Load your Groq API key
GROQ_API_KEY = os.getenv("GROQ_API_KEY")
if not GROQ_API_KEY:
raise ValueError("GROQ_API_KEY environment variable is not set")
client = Groq(api_key=GROQ_API_KEY)
@router.exception_handler(Exception)
async def global_exception_handler(request: Request, exc: Exception):
return JSONResponse(
status_code=500, content={"detail": str(exc)}
)
@router.post(
"/transcribe",
summary="Upload an audio file and return its transcription",
response_description="Returns transcribed text as JSON"
)
async def transcribe_audio(file: UploadFile = File(...)):
if not file.filename:
raise HTTPException(status_code=400, detail="No file provided")
# Only allow common audio formats
allowed_exts = (".mp3", ".wav", ".m4a", ".flac")
if not file.filename.lower().endswith(allowed_exts):
raise HTTPException(
status_code=415,
detail=f"Unsupported file type. Allowed: {', '.join(allowed_exts)}"
)
data = await file.read()
try:
# send to Groq Whisper model
resp = client.audio.transcriptions.create(
file=(file.filename, data),
model="whisper-large-v3",
response_format="verbose_json",
)
# the library returns an object with a `.text` attribute
transcript = getattr(resp, "text", None)
if transcript is None:
# fallback if resp is dict-like
transcript = resp.get("text") # type: ignore
except GroqError as e:
raise HTTPException(status_code=502, detail=f"Transcription service error: {e}")
except Exception as e:
raise HTTPException(status_code=500, detail=f"Unexpected error: {e}")
return JSONResponse(content={"transcript": transcript})