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Readme.md

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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.