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Voice transcription endpoint — powered by OpenAI Whisper (whisper-1).
Receives a raw audio file from MediaRecorder (webm/ogg/wav) and returns
the transcript with a domain-specific prompt that improves accuracy for
GST, FEMA, Company Law, and Income Tax terminology.
"""
import logging
from fastapi import APIRouter, File, UploadFile, HTTPException
from app.config import OPENAI_API_KEY
router = APIRouter()
logger = logging.getLogger("transcribe")
# Domain hint fed to Whisper as a prompt — dramatically improves recognition
# of legal/tax abbreviations, section numbers, and Indian English phrases.
_DOMAIN_PROMPT = (
"GST, CGST, IGST, SGST, UTGST, ITC, input tax credit, DRC-01, DRC-03, DRC-07, "
"ASMT-10, GSTR-1, GSTR-3B, GSTR-2A, GSTR-2B, GSTR-9, show cause notice, SCN, "
"Section 16, Section 17, Section 73, Section 74, Section 54, Rule 86A, Rule 42, "
"Rule 43, reverse charge mechanism, RCM, CBIC, AAR, advance ruling, "
"input service distributor, ISD, composition scheme, e-way bill, LUT, "
"FEMA, RBI, FDI, ODI, ECB, repatriation, adjudication, commissioner, "
"income tax, TDS, TCS, Section 143, Section 147, CIT, ITAT, penalty, "
"interest, demand, refund, appeal, tribunal, high court, supreme court."
)
@router.post("/transcribe")
async def transcribe_audio(file: UploadFile = File(...)):
"""
Accepts an audio file (webm, ogg, wav, mp4, m4a) and returns
a JSON object: { "transcript": "..." }
"""
audio_bytes = await file.read()
if not audio_bytes:
raise HTTPException(status_code=400, detail="Empty audio file received.")
if not OPENAI_API_KEY:
raise HTTPException(
status_code=503,
detail=(
"Voice transcription requires OPENAI_API_KEY to be set in your .env file. "
"Add OPENAI_API_KEY=sk-... and restart the server."
),
)
try:
import openai as _openai
client = _openai.OpenAI(api_key=OPENAI_API_KEY)
mime = file.content_type or "audio/webm"
fname = file.filename or "recording.webm"
logger.info(f"Transcribing audio | size={len(audio_bytes)} bytes | mime={mime}")
response = client.audio.transcriptions.create(
model="whisper-1",
file=(fname, audio_bytes, mime),
language="en",
prompt=_DOMAIN_PROMPT,
response_format="text",
)
transcript = response.strip() if isinstance(response, str) else str(response).strip()
logger.info(f"Transcription complete | chars={len(transcript)}")
return {"transcript": transcript}
except _openai.AuthenticationError:
raise HTTPException(status_code=401, detail="Invalid OPENAI_API_KEY — check your .env file.")
except _openai.RateLimitError:
raise HTTPException(status_code=429, detail="OpenAI rate limit hit — please wait a moment and try again.")
except Exception as e:
logger.error(f"Transcription error: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Transcription failed: {str(e)}")
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