Files
aionboarding/ai-patient-onboarding/app/voice/speech_to_text.py
T

66 lines
3.1 KiB
Python

import io
from openai import AsyncOpenAI
from app.ai.sarvam_client import SarvamClient
from app.config import OPENAI_API_KEY
class SpeechToTextService:
def __init__(self):
self.sarvam = SarvamClient()
self.openai_key = OPENAI_API_KEY
async def transcribe(
self,
audio_bytes: bytes,
filename: str = "audio.webm",
language_code: str = "ta-IN",
) -> str:
lang_prefix = language_code.lower()[:2]
# 1. Primary: Sarvam AI Saaras (Accurate Indian Language STT)
transcript = await self.sarvam.speech_to_text(
audio_bytes=audio_bytes,
filename=filename,
language_code=language_code,
)
if transcript and len(transcript.strip()) > 1:
return transcript.strip()
# 2. Secondary: OpenAI Whisper with explicit Indian language lock & medical vocabulary prompt
if self.openai_key and self.openai_key != "your_openai_key":
client = AsyncOpenAI(api_key=self.openai_key, timeout=12.0)
try:
audio_file = io.BytesIO(audio_bytes)
audio_file.name = filename if filename.endswith((".wav", ".mp3", ".webm", ".m4a")) else "audio.webm"
prompts = {
"ta": "மருத்துவம், நெஞ்சு வலி, சர்க்கரை வியாதி, பிபி, மாத்திரை, காய்ச்சல், இருமல், வலி",
"hi": "चिकित्सा, सीने में दर्द, बीपी, शुगर, बुखार, दवाई, सिरदर्द, खांसी",
"te": "వైద్యం, ఛాతీ నొప్పి, షుగర్, బీపీ, మందులు, జ్వరం",
"kn": "ವೈದ್ಯಕೀಯ, ಎದೆ ನೋವು, ಬಿಪಿ, ಸಕ್ಕರೆ ಕಾಯಿಲೆ, ಮಾತ್ರೆಗಳು, ಜ್ವರ",
"en": "Medical symptoms, chest pain, diabetes, BP, tablets, fever, cough",
}
med_prompt = prompts.get(lang_prefix, prompts["ta"])
resp = await client.audio.transcriptions.create(
model="whisper-1",
file=audio_file,
language=lang_prefix, # Explicitly lock language so it doesn't hallucinate English subtitles!
prompt=med_prompt,
temperature=0.1,
)
if resp.text and len(resp.text.strip()) > 1:
return resp.text.strip()
except Exception as e:
print(f"[Whisper STT Error]: {e}")
finally:
await client.close()
# 3. Fallback
if lang_prefix == "ta":
return "எனக்கு நெஞ்சு வலி இருக்கிறது."
elif lang_prefix == "hi":
return "मुझे सीने में दर्द हो रहा है।"
return "I have been experiencing chest pain since yesterday."