app.py

import whisper
import gradio as gr
import subprocess
import os

# Load Whisper model
model = whisper.load_model("large")

def transcribe_video(video_path):
    try:
        audio_path = "audio.wav"
        subprocess.run(
            ["ffmpeg", "-i", video_path, "-ar", "16000", "-ac", "1", "-c:a", "pcm_s16le", audio_path],
            check=True
        )
        result = model.transcribe(audio_path, task="transcribe", language="ur")
        return result["text"]
    except Exception as e:
        return f"An error occurred: {e}"

# Gradio Interface
interface = gr.Interface(
    fn=transcribe_video,
    inputs=gr.Video(label="Upload your Urdu-speaking video"),
    outputs=gr.Textbox(label="Transcribed Text"),
    title="Urdu Video Transcription App"
)

if __name__ == "__main__":
    interface.launch()