metadata
title: AI Video Composer
short_description: Create videos with FFMPEG + Qwen2.5-Coder
emoji: π
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: 5.6.0
app_file: app.py
pinned: false
disable_embedding: true
models:
- Qwen/Qwen2.5-Coder-32B-Instruct
π AI Video Composer
AI Video Composer is an intelligent media processing application that uses natural language instructions to create videos from your media assets. It leverages the Qwen2.5-Coder language model to generate FFmpeg commands based on your requirements.
How It Works
Upload Media Files:
- Supports multiple file formats including:
- Images: .png, .jpg, .jpeg, .tiff, .bmp, .gif, .svg
- Audio: .mp3, .wav, .ogg
- Video: .mp4, .avi, .mov, .mkv, .flv, .wmv, .webm, and more
- File size limit: 10MB per file
- Video duration limit: 2 minutes
- Supports multiple file formats including:
Provide Instructions:
- Write natural language instructions describing how you want to process your media
- Examples:
- "Convert these images into a slideshow with 1 second per image"
- "Add this audio track to the video"
- "Make the video play 2x faster"
- "Create a waveform visualization for this audio file"
Advanced Parameters:
- Top-p (nucleus sampling): Controls diversity of generated commands (0-1)
- Temperature: Controls randomness in command generation (0-5)
Processing:
- The app analyzes your files and instructions
- Generates an optimized FFmpeg command using Qwen2.5-Coder
- Executes the command and returns the processed video
- Displays the generated FFmpeg command for transparency
Features
- Smart Command Generation: Automatically generates optimal FFmpeg commands based on natural language input
- Error Handling: Validates commands before execution and retries with alternative approaches if needed
- Multiple Asset Support: Process multiple media files in a single operation
- Waveform Visualization: Special support for audio visualization with customizable parameters
- Image Sequence Processing: Efficient handling of image sequences for slideshow creation
- Format Conversion: Support for various input/output format conversions
- Example Gallery: Built-in examples demonstrating common use cases
Technical Details
- Built with Gradio for the user interface
- Uses FFmpeg for media processing
- Powered by Qwen2.5-Coder for command generation
- Implements robust error handling and command validation
- Processes files in a temporary directory for safety
- Supports both simple operations and complex media transformations
Limitations
- Maximum file size: 10MB per file
- Maximum video duration: 2 minutes
- Output format: Always MP4
- Processing time may vary based on input complexity
Contributing
If you have ideas for improvements or bug fixes, please open a PR: