Code Monkey home page Code Monkey logo

talk-with-pdf's Introduction

PDF Chatbot with Custom Data πŸ“„

An interactive AI chatbot for querying and discussing the contents of PDF documents using Streamlit and AI language models.

About the Project 🌟

This project provides a user-friendly interface to interact with AI language models and extract information from PDF documents. It's particularly useful for researchers, students, and professionals who need to quickly access and query the content of PDF files without manually skimming through pages.

The chatbot integrates with OpenAI's language models, making it capable of answering a wide range of questions and engaging in natural language conversations about the content within the uploaded PDFs.

Getting Started πŸš€

To get started with this project, follow the steps below.

Prerequisites πŸ› οΈ

Before using the chatbot, ensure you have the following installed:

  • Python 3.x 🐍
  • pip (Python package manager) πŸ“¦

Installation βš™οΈ

  1. Clone the repository:

    git clone https://github.com/yesbhautik/Talk-with-PDF.git
  2. Navigate to the project directory:

    cd Talk-with-PDF
  3. Install the required Python packages using pip:

    pip install -r requirements.txt

Usage πŸ“‹

  1. Run the chatbot using the following command:

    streamlit run app.py
  2. The chatbot interface will open in your default web browser 🌐

  3. Upload one or more PDF files for processing πŸ“‚

  4. Start a conversation by asking questions or making inquiries about the PDF content πŸ’¬

  5. The chatbot will provide responses based on the content of the uploaded PDFs 🧠

Features 🌈

  • Upload and process multiple PDF documents πŸ“
  • Query and discuss the contents of PDFs using natural language πŸ’¬
  • Integrates with powerful language models for accurate responses πŸ’‘
  • User-friendly web interface powered by Streamlit πŸ–₯️

Contributing 🀝

Contributions are welcome! Please follow these steps to contribute to the project:

  1. Fork the repository🍴
  2. Create a new branch for your feature or bug fix 🌿
  3. Make your changes and commit them πŸ’»
  4. Push your changes to your fork πŸš€
  5. Create a pull request to the main repository πŸ“₯

πŸ”₯ Show some support | Donation

If you find this repository helpful, show your support by giving it a 🌟! Your support means a lot to me and helps me keep contributing to the open-source community.

Also, if you'd like to support me financially, you can do so via my donation link: https://go.yesbhautik.co.in/8i6wdu

Donate

πŸ’¬ Let's Connect

Feel free to reach out to us if you have questions, ideas, or simply want to chat. We're here to help and connect with the community.

πŸ“œ License

This repository is under the MIT License. For more information, see the LICENSE file.

talk-with-pdf's People

Contributors

imgbotapp avatar yesbhautik avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar

talk-with-pdf's Issues

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    πŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. πŸ“ŠπŸ“ˆπŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❀️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.