ChatPDF 💬📄

ChatPDF enables you to upload PDF files and ask questions about the content of those files using LLM, an open-source language model. The app processes PDF files, breaks the text into manageable chunks for question-answering based on the contents of the PDF.

ChatPDF Live Demo

Features:

• Upload multiple PDF files.
• Extract text from the PDFs and split it into chunks.
• Ask questions about the uploaded PDF content and get responses using the LLM model.

Installation

Follow these steps to install the required dependencies and set up the application.

Prerequisites

Ensure you have the following installed:

• Python 3.8+
• pip (Python package installer)

Clone the Repository

First, clone this repository to your local machine:

git clone https://github.com/AnkushRathour/ChatPDF.git
cd ChatPDF

Install Dependencies

Next, create enviornment and install the required Python packages by running:

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Environment Variables

Create a .env file in the project root directory and add your Cohere API key:

COHERE_API_KEY = 'cohere_api_key'

Running the Application

To start the Streamlit application, run the following command:

streamlit run app.py

Usage

• Open the app in your web browser by visiting the URL provided in the terminal after running Streamlit.
• Upload one or more PDF files using the sidebar.
• After processing the PDFs, type a question in the input box, and the model will respond based on the content of the PDFs.

Technologies Used

• Streamlit: For building the user interface and web application.
• PyPDF2: For extracting text from PDF files.
• LangChain: For managing and splitting large texts.
• Cohere API: For generating responses using an LLM.

Contributing

Feel free to contribute by submitting pull requests or reporting issues. Ensure you follow the project guidelines.

License

This project is licensed under the MIT License.