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Chatbot_LLM

A supplier and product chatbot built with Flask, LLM, and React.

interface

Overview

This project implements an intelligent chatbot that helps users query information about suppliers and products. It combines a Flask backend with a React frontend and utilizes Large Language Models (LLM) for natural language processing capabilities.

Features

  • Interactive chat interface
  • Natural language processing with LLM
  • Product and supplier information retrieval
  • Responsive design
  • Docker support for easy deployment

Getting Started

Option 1: Using Docker (Recommended)

The easiest way to run the entire application is using Docker:

# Clone the repository
git clone https://github.com/babanigit/Chatbot_LLM.git

# Navigate to project directory
cd Chatbot_LLM

# Build and run with Docker Compose
docker-compose up --build

About

The chatbot is built to handle user queries efficiently and demonstrates conversational AI capabilities. It leverages [insert technologies/frameworks used, e.g., Python, Flask, JavaScript, etc.] to provide a seamless user interaction experience.

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