🎯 Purpose

This app is a vector search tool for Netflix titles. It enables users to search for similar movies or shows using vector embeddings, making content discovery smarter and more intuitive.

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🚀 Features

• 🔍 Search Netflix titles using vector similarity
• 📊 Uses OpenAI for embeddings and Pinecone for vector search
• 🖥️ Simple web interface for easy interaction

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🗂️ Project Structure

• app.py — Main Flask application
• embed_upload.ipynb — Jupyter notebook for embedding and uploading data
• requirements.txt — Python dependencies
• data/ — Contains Netflix CSV data and embeddings
  • netflix_titles.csv
  • netflix_titles_embedding.csv
• static/ — Static files (CSS, favicon)
  • style.css
  • favicon.png
• templates/ — HTML templates
  • index.html

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🛠️ Installation

1. Clone the repository and navigate to the project directory.
2. (Recommended) Create and activate a virtual environment:

   python -m venv .venv
   .venv\Scripts\activate
   

3. Install dependencies:

   pip install -r requirements.txt
   

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▶️ Usage

1. Run the Flask app:

   python app.py
   

2. Open your browser and go to http://127.0.0.1:5000/.

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📁 Data Files

• data/netflix_titles.csv — Raw Netflix titles data
• data/netflix_titles_embedding.csv — Embeddings for Netflix titles

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🎨 Static & Templates

• static/style.css — App styling
• static/favicon.png — App icon
• templates/index.html — Main HTML template

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🔑 Notes

• Make sure you have valid Pinecone and OpenAI API keys set as environment variables if required by your code.