app.py

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, "\n".join(debug_logs)

        return output_video, "\n".join(debug_logs)
    except Exception as e:
        error_message = f"Error in process_video: {str(e)}"
        log_message(error_message)
        traceback.print_exc()
        return None, "\n".join(debug_logs)

# 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 🌳🎧"),
        gr.Textbox(label="📝 Debug Logs 📋")
    ],
    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)