import gradio as gr
import cv2
import numpy as np
import librosa

def process_video(video_file):
    # Read the video file
    cap = cv2.VideoCapture(video_file)
    frames = []
    while True:
        ret, frame = cap.read()
        if not ret:
            break
        frames.append(frame)
    cap.release()

    # Process the video frames and generate audio
    # Your video processing and audio generation logic here

    # Save the new audio file
    # Example: librosa.output.write_wav('output_audio.wav', new_audio, sr)

    return "Audio generated successfully"

iface = gr.Interface(
    fn=process_video,
    inputs="file",
    outputs="text",
    title="Video to Audio Generator",
    description="Upload a video, analyze it, and generate audio"
)
iface.launch()