#!/usr/bin/env python3
"""
Demo script for text-to-video generation
This script demonstrates how to use the text-to-video generator with a simple example.
"""

import os
import sys
from simple_generator import generate_video_from_text

def main():
    print("Text-to-Video Generation Demo")
    print("=" * 40)
    
    # Demo prompt
    demo_prompt = "A beautiful butterfly flying through a colorful garden with flowers"
    
    print(f"Generating video for prompt: '{demo_prompt}'")
    print("This may take a few minutes depending on your hardware...")
    print()
    
    try:
        # Generate video with default settings
        output_path = generate_video_from_text(
            prompt=demo_prompt,
            model_id="damo-vilab/text-to-video-ms-1.7b",  # Fast model for demo
            num_frames=16,
            fps=8,
            num_inference_steps=20,  # Reduced for faster demo
            guidance_scale=7.5,
            seed=42,  # Fixed seed for reproducible demo
            output_path="demo_video.mp4"
        )
        
        print("=" * 40)
        print("Demo completed successfully!")
        print(f"Video saved as: {output_path}")
        print()
        print("You can now:")
        print("1. Open the video file to view the result")
        print("2. Run 'python text_to_video.py' for the web interface")
        print("3. Try different prompts with 'python simple_generator.py'")
        
    except Exception as e:
        print(f"Error during demo: {str(e)}")
        print()
        print("Troubleshooting tips:")
        print("- Make sure all dependencies are installed: pip install -r requirements.txt")
        print("- Check if you have sufficient disk space")
        print("- Ensure you have a stable internet connection for model download")
        print("- Try running with CPU if GPU memory is insufficient")
        return 1
    
    return 0

if __name__ == "__main__":
    exit(main())