RAG with Youtube videos

This project leverages LangChain, OpenAI, ChromaDB, and Gradio to create a question-answering system for any YouTube videos. By inputting questions related to the content of the provided videos, users receive answers along with a corresponding YouTube video.

Features

• Extracts and translates text from YouTube videos.
• Splits text into manageable chunks for processing.
• Embeds text data using OpenAI embeddings.
• Stores and retrieves text data efficiently using Chroma vector store.
• Generates answers to questions using OpenAI's language model.
• Displays both the answer and the related YouTube video in an interactive Gradio interface.

Setup

Prerequisites

• OpenAI API key
• Necessary Python packages (specified in the requirements.txt)

Installation

1. Clone the repository:

   git clone https://github.com/MuratcanLaloglu/openai-rag-with-youtube-transcripts-and-chromadb-ai-assistant.git
   
   cd openai-rag-with-youtube-transcripts-and-chromadb-ai-assistant

2. Install the required packages:

   pip install -r requirements.txt
   

3. Set your OpenAI API key: Put your OpenAI API Key in .env folder.

4. Add YouTube URLs: Use Dataset_Creator.ipynb to create video_links.txt. (URLs of the YouTube videos you want to process).

Usage

1. Run the notebook

2. Open your web browser and go to the URL provided by Gradio

Interacting with the Interface

• Ask a question: Type your question related to a video in the input box.

• View the answer and video: The system will display the answer and embed the related YouTube video.