YouTube Content Curator

A Flask-based web application that helps users discover and filter YouTube videos based on their preferences, extract transcripts, and find moments that match specific interests.

Features

• Search YouTube videos by topic and user preferences
• Filter videos by minimum view count
• Extract and process video transcripts automatically
• Find and highlight preferred moments in videos based on user-defined criteria
• Summarize video content using NLP models

Prerequisites

• Python 3.7+
• Flask
• YouTube Search Python
• YouTube Transcript API
• pandas
• FAISS for similarity search
• Transformers (for summarization)

Installation

1. Clone the repository:

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows, use: venv\Scripts\activate
   

3. Install the required packages:

   pip install -r requirements.txt
   

4. Create a .env file with your configuration:

   SECRET_KEY=your-secret-key
   # Add any other API keys or configuration as needed
   

Usage

1. Start the Flask application:

   python app.py
   

2. Open your browser and navigate to http://localhost:5000

3. Enter your search topics and preferences

4. Browse the fetched videos and explore preferred moments

Project Structure

• app.py: Main Flask application
• youtube_utils.py: Utility functions for fetching videos and transcripts
• summarization.py: Transcript summarization functionality
• similarity_search.py: Functions to identify preferred moments in videos
• templates/: HTML templates for the web interface
• static/: Static files (CSS, JavaScript, images)