Chatbot AI for FPT University FSB Master Software Engineering

Overview

This project is a Chatbot AI designed for FPT University's FSB Master Software Engineering program. It utilizes a Large Language Model (LLM) named Gemini, integrated with Retrieval-Augmented Generation (RAG) techniques to enhance user interaction and provide accurate, context-aware responses. The chatbot is built using the Langchain framework and is served via a Flask web application.

Main Features

• Generative AI Chatbot: Leverages Gemini LLM to understand and generate human-like text responses.
• RAG Integration: Enhances responses by retrieving relevant information from external data sources.
• Meta Messenger Integration: Allows users to interact with the chatbot through Meta Messenger.

Technical Stack

• LLM: Gemini
• Framework: Langchain
• Library: Flask
• Dependencies:
  • requests
  • langchain-google-genai
  • langchain
  • langchain-community
  • pypdf
  • pdf2image
  • tiktoken
  • unstructured[local-inference]
  • sentence_transformers
  • chromadb

Setup Instructions

Prerequisites

• Python 3.x
• Meta Messenger Developer Account
• Google API Key
• Vercel KV (Key-Value Store) Account

Environment Variables

Before running the app, ensure that the following environment variables are set:

export VERIFY_TOKEN=<your_verify_token>
export PAGE_ACCESS_TOKEN=<your_page_access_token>
export GOOGLE_API_KEY=<your_google_api_key>
export VERCEL_KV_URL=<your_vercel_kv_url>
export VERCEL_KV_TOKEN=<your_vercel_kv_token>
export PORT=<your_port>
export DEBUG=<your_debug_mode>

Installation

Clone the repository:

git clone https://github.com/your-repo/chatbot-ai-fpt-fsb.git
cd chatbot-ai-fpt-fsb

Install dependencies:

pip install -r requirements.txt

Running the App

Run the following command to start the Flask application:

python3 index.py

Running the App

Ensure your Flask application is running. Open Meta Messenger and start a conversation with your chatbot. Interact with the chatbot to test its response capabilities and contextual accuracy.

Contribution

We welcome contributions to enhance the functionality and performance of this chatbot. Please fork the repository and submit a pull request with your proposed changes.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any queries or support, please contact the project maintainer at [[email protected]].