LangChain Text Summarization

The main purpose of this project is to demonstrate how LangChain can be integrated with a language model. It serves as a simple starting point for working with LangChain. This project is a text summarization tool built using LangChain, OpenAI, and Streamlit. It allows users to input any text and receive a concise summary, accessible via both a web interface and the command line.

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Features

• LangChain integration for clean prompt chaining
• Streamlit web UI for interactive usage
• CLI mode via main.py
• .env support for API key management
• Modular code structure (LLM config, summarizer, UI)

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Quickstart

1. Clone the Repository

git clone https://github.com/your-username/text-summarization.git
cd text-summarization

2. Create a virtual env and activate it

conda create --name txtsum python=3.11
conda activate txtsum

3. install the requirments

pip install -r requirements.txt

4. Run the pipeline using streamlit

streamlit run ui/streamlit_app.py