app.py

import gradio as gr
import yt_dlp
import whisper
import tempfile

def download_audio(url, cookies_path):
    with tempfile.NamedTemporaryFile(suffix='.mp3', delete=False) as tmpfile:
        ydl_opts = {
            'format': 'bestaudio/best',
            'outtmpl': tmpfile.name,
            'quiet': True,
            'cookiefile': cookies_path,
            'postprocessors': [{
                'key': 'FFmpegExtractAudio',
                'preferredcodec': 'mp3',
                'preferredquality': '192',
            }]
        }
        with yt_dlp.YoutubeDL(ydl_opts) as ydl:
            ydl.download([url])
        return tmpfile.name

def process_video(url, cookies_path):
    audio_file = download_audio(url, cookies_path)
    model = whisper.load_model("base")
    result = model.transcribe(audio_file)
    return result['text']

def main(url):
    cookies_path = 'cookies.txt'  # Provide path to your exported cookies file
    transcript = process_video(url, cookies_path)
    return transcript

demo = gr.Interface(fn=main, inputs=gr.Textbox(label="YouTube URL"), outputs="text")

demo.launch()