| 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() | |