README.md

metadata

title: Text Summarization Using LangChain
emoji: 😁
colorFrom: blue
colorTo: red
sdk: streamlit
app_file: app.py
pinned: false

RapidRecap 📑

Overview

A Streamlit-based application that summarizes content from YouTube videos and websites using the Gemma-7b-It model from Groq. Easily input any URL to get quick, insightful summaries with just a click! 🚀

Table of Contents

• Installation
• Usage
• Requirements
• Acknowledgements
• License

Installation

To get started, you need to create a Conda environment. Follow these steps:

1. Create a Conda environment:

   conda create -p venv python=3.11 -y
   

2. Activate the environment:

   conda activate langchain-summarizer
   

3. Install the required packages: You can install the required packages using the requirements.txt file. Then, run:

   pip install -r requirements.txt
   

4. Add a .env file: Create a .env file in the root directory of your project to store your Groq API Key. Add the following line to the file:

   GROQ_API_KEY=your_groq_api_key_here
   

Usage

1. Ensure you have your Groq API Key stored in the .env file.
2. Run the application:

   streamlit run app.py
   

3. Open your web browser and navigate to http://localhost:8501 to access the application.

Acknowledgements

• LangChain: For providing the framework to build language model applications.
• Groq: For the powerful Gemma-7b-It model.
• Streamlit: For making it easy to create web applications in Python.
• YouTube and Web Sources: For the content being summarized.

License

This project is licensed under the GNU License - see the LICENSE file for details