Flask GPT App

This project integrates the GPT model with a Retrieval-Augmented Generation (RAG) feature. Users can interact with the model via a web interface, manage their chat history, and utilize advanced document querying capabilities.

Key features include:

• User Registration and Login: Secure user accounts with chat history recovery through MySQL database.
• Interactive GPT Chat: Real-time chat with the GPT model.
• Document Upload and Querying: Upload PDF documents and query their contents using the RAG feature.
• Search Agents: Document Querying Agent (RAG) used For queries related to the content of uploaded PDFs. Tavily Search Agent used For general information retrieval tasks, such as weather predictions.

Run The Project without docker

Install packages:

  pip install -r requirements.txt 

Run Flask:

  flask run

Open your browser and acceess project through this URL: http://127.0.0.1:8080/

Run The Project with Docker

Install request package Build the Docker image:

  pip install requests==2.25.1

Run docker-compose.yaml:

  docker-comspoe -f docker-compose.yaml up

Open your browser and acceess project through this URL: http://127.0.0.1:8080/