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| # Enhanced YouTube Video Analysis | |
| This Streamlit application allows users to analyze YouTube videos by performing the following tasks: | |
| 1. Download and process YouTube videos | |
| 2. Perform text search and question answering on video content | |
| 3. Find similar frames based on uploaded images | |
| 4. Detect and track faces in the video | |
| ## Features | |
| - YouTube video download and processing | |
| - Text search and question answering | |
| - Image-based similarity search | |
| - Face detection and tracking | |
| - Generation of face appearance videos | |
| ## Installation | |
| 1. Clone this repository | |
| 2. Install the required packages: | |
| ``` | |
| pip install -r requirements.txt | |
| ``` | |
| 3. Run the Streamlit app: | |
| ``` | |
| streamlit run app.py | |
| ``` | |
| ## Usage | |
| 1. Enter a YouTube URL in the provided input field | |
| 2. Click "Analyze" to process the video | |
| 3. Use the various features (text search, image upload, face upload) to analyze the video content | |
| ## Note | |
| This application requires FFmpeg to be installed on the system for video processing. | |
| ## Deployment | |
| This application is designed to be deployed on Hugging Face Spaces. Follow the Hugging Face documentation for deployment instructions. |