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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()
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