app.py

from fastapi import FastAPI, UploadFile, File, HTTPException
from fastapi.responses import JSONResponse
from faster_whisper import WhisperModel
import tempfile
import os
import shutil
import logging

logging.basicConfig(level=logging.INFO)

app = FastAPI(
    title="Fast Whisper API",
    version="1.0.0"
)

print("Loading Faster Whisper model...")

model = WhisperModel(
    "base",
    device="cpu",
    compute_type="int8",
    cpu_threads=4,
    num_workers=2
)

print("Model loaded successfully!")

@app.get("/")
def root():
    return {
        "status": "online",
        "model": "faster-whisper-base",
        "languages": [
            "Hindi",
            "English",
            "Hinglish (Auto Detect)"
        ]
    }


@app.post("/transcribe")
async def transcribe(file: UploadFile = File(...)):
    if not file.filename:
        raise HTTPException(400, "No file uploaded.")

    suffix = os.path.splitext(file.filename)[1]

    with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as temp:
        shutil.copyfileobj(file.file, temp)
        temp_path = temp.name

    try:
        segments, info = model.transcribe(
            temp_path,
            beam_size=1,
            vad_filter=True,
            word_timestamps=False
        )

        text = " ".join(segment.text.strip() for segment in segments).strip()

        return JSONResponse(
            {
                "success": True,
                "language": info.language,
                "language_probability": round(info.language_probability, 3),
                "text": text
            }
        )

    except Exception as e:
        logging.exception(e)
        raise HTTPException(500, str(e))

    finally:
        if os.path.exists(temp_path):
            os.remove(temp_path)