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| import os | |
| import random | |
| import ffmpeg | |
| import gradio as gr | |
| import traceback | |
| # Debug log list | |
| debug_logs = [] | |
| def log_message(message): | |
| """Log messages for debugging.""" | |
| debug_logs.append(message) | |
| print(message) | |
| # Function to add music to video | |
| def add_music_to_video(video_path, chunks_folder="./chunks", output_path="output_with_music.mp4"): | |
| try: | |
| log_message("Starting add_music_to_video process...") | |
| # List all MP3 files in the chunks folder | |
| music_files = [os.path.join(chunks_folder, f) for f in os.listdir(chunks_folder) if f.endswith('.mp3')] | |
| if not music_files: | |
| error_message = "Error: No audio files found in the chunks folder." | |
| log_message(error_message) | |
| return error_message | |
| # Randomly select one MP3 file | |
| music_file_path = random.choice(music_files) | |
| log_message(f"Selected music file: {music_file_path}") | |
| # Get the duration of the video | |
| video_info = ffmpeg.probe(video_path) | |
| video_duration = float(video_info['streams'][0]['duration']) | |
| log_message(f"Video duration: {video_duration} seconds") | |
| # Trim the music file to match the video duration | |
| trimmed_music_path = "trimmed_music.mp3" | |
| ffmpeg.input(music_file_path).output( | |
| trimmed_music_path, ss=0, t=video_duration | |
| ).run(overwrite_output=True) | |
| log_message("Music trimmed successfully.") | |
| # Combine video and audio | |
| video_input = ffmpeg.input(video_path) | |
| audio_input = ffmpeg.input(trimmed_music_path) | |
| ffmpeg.concat(video_input, audio_input, v=1, a=1).output( | |
| output_path, vcodec="libx264", acodec="aac", strict="experimental" | |
| ).run(overwrite_output=True) | |
| log_message(f"Video with music saved to: {output_path}") | |
| return output_path | |
| except Exception as e: | |
| error_message = f"Error in add_music_to_video: {str(e)}" | |
| log_message(error_message) | |
| traceback.print_exc() | |
| return error_message | |
| # Define Gradio interface | |
| def process_video(uploaded_video): | |
| try: | |
| log_message("Video received for processing.") | |
| # Ensure the correct handling of uploaded_video as a string or file object | |
| if isinstance(uploaded_video, str): | |
| video_path = uploaded_video # If it's already a string path | |
| else: | |
| video_path = uploaded_video.name # File-like object with a .name attribute | |
| log_message(f"Uploaded video path: {video_path}") | |
| output_video = add_music_to_video(video_path, chunks_folder="./chunks") | |
| if "Error" in output_video: | |
| return None | |
| return output_video | |
| except Exception as e: | |
| error_message = f"Error in process_video: {str(e)}" | |
| log_message(error_message) | |
| traceback.print_exc() | |
| return None | |
| # Gradio Interface with more nature and music-themed emojis | |
| interface = gr.Interface( | |
| fn=process_video, | |
| inputs=gr.Video(label="🌿 Upload Your Video 🌱"), | |
| outputs=[ | |
| gr.Video(label="🎶 Your Video with Nature's Vibes 🌳🎧"), | |
| ], | |
| title="Create Nature Vibes 🌿🌞🎶", | |
| description="🌳🌻 Upload a video, and this app will add a 10-second nature-inspired background music track 🎶 that matches the video duration 🌿🌞. Let the natural vibes flow! 🎧" | |
| ) | |
| # Launch Gradio app | |
| interface.launch(share=True) | |