PDFGPT

PDFGPT is a web application built with React and Flask that leverages the power of OpenAI's GPT-3.5 model to generate text summaries and responses based on input PDF documents. It utilizes various technologies and libraries including Langchain, FAISS, OpenAI embedding, and GPT-3.5 turbo model.

Features

• Summarize PDF documents using advanced natural language processing techniques.
• Generate responses and answers based on the content of PDF documents.
• Utilizes Langchain for language processing tasks.
• Incorporates FAISS for efficient similarity search.
• Harnesses the power of OpenAI embedding and GPT-3.5 turbo model for generating high-quality text.
• Frontend built with React, TypeScript, Tailwind CSS, and DaisyUI for a modern and responsive user interface.

Installation

To run PDFGPT locally, follow these steps:

1. Clone the repository:

   git clone <repository_url>
   

2. Navigate to the project directory:

   cd PDFGPT
   

3. Install dependencies for the frontend:

   cd frontend
   npm install
   

4. Install dependencies for the backend:

   cd ../backend
   pip install -r requirements.txt
   

5. Set up environment variables:

   • Create a .env file in the backend directory.
   • Add your GPT-3.5 API key to the .env file:

     OPENAI_API_KEY=<your_openai_api_key>
     

6. Run the backend:

   flask run
   

7. Run the frontend:

   npm start
   

8. Access the application in your browser at http://localhost:3000.

Usage

• Upload a PDF document using the provided interface.
• Choose from various options such as summarization or response generation.
• View the generated output based on the selected task.

Contributing

Contributions to PDFGPT are welcome! If you have any ideas for improvements, new features, or bug fixes, feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Acknowledgements

PDFGPT was made possible thanks to the following technologies and libraries:

• React
• Flask
• OpenAI GPT-3.5
• Langchain
• FAISS
• Tailwind CSS
• DaisyUI
• TypeScript

Contact

For any inquiries or feedback, please contact (mail to:gang.expert.99@gmail.com).

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