routers/get_transcript_gradio.py

import os
import time
from fastapi import APIRouter, Depends, HTTPException, status


from libs.convert_to_audio import convert_to_audio
from libs.header_api_auth import get_api_key
from libs.transformer.open_ai_whisper import open_ai_whisper_api
from libs.transformer.get_transcript_gradio_api import api_gradio_transcribe



router = APIRouter(prefix="/get-transcript-gradio", tags=["transcript"])

@router.get("/")
def get_transcript(audio_path: str, model_size: str = "distil-whisper/distil-small.en", api_key: str = Depends(get_api_key)):
    st = time.time()

    output_audio_folder = f"./cached/audio"

    # if not os.path.exists(output_audio_folder):
    #     os.makedirs(output_audio_folder)


    # output_file = f"{output_audio_folder}/{audio_path.split('/')[-1].split(".")[0]}.mp3"
    # convert_to_audio(audio_path.strip(), output_file)

    try:
        # text, chunks = open_ai_whisper_api(audio_path)
        text = api_gradio_transcribe(audio_path)

    except Exception as error:
        raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=f"error>>>: {error}")
    # finally:
        #  if os.path.exists(output_file):
        #     os.remove(output_file)

    listSentences = []

    # for chunk in chunks:
    #     listSentences.append({
    #         "start_time": chunk.get("timestamp")[0],
    #         "end_time": chunk.get("timestamp")[1],
    #         "text": chunk.get("text")
    #     })

    et = time.time()

    elapsed_time = et - st

    return {"text": text,
            'list_sentence':  listSentences,
            'elapsed_time': round(elapsed_time, 2)
            }