Robinson Chatbot

Chatbot Project

This project is a chatbot application that utilizes DialoGPT in the Flask backend and a React.js frontend. Users can interact with the chatbot seamlessly.

Project Structure

The project is organized into two main folders:

client: Contains the React.js frontend code.
server: Contains the Flask backend code.

Setup Instructions

To get started with the project, follow these steps:

1. Clone the Repository

First, clone the Git repository to your local machine:

git clone <repository-url>

2. Set Up the Flask Backend

Navigate to the server folder:

cd server

Create a Virtual Environment

Create a virtual environment to manage dependencies:

python -m venv venv

Activate the Virtual Environment

On Windows:

`venv\Scripts\activate`

On macOS/Linux:

`source venv/bin/activate`

Install Requirements

Install the required packages using the requirements.txt file:

`pip install -r requirements.txt`

Run the Flask App

Start the Flask application:

`flask run`

Leave this terminal open to keep the backend running and open new terminal at the root of the project.

3. Set Up the React Frontend

Navigate to the client folder:

cd client

Install Dependencies

Install the required dependencies for the React app:

npm install

Start the React App

Run the React application:

npm run dev

4. Interact with the Chatbot

Once both the Flask and React applications are running, you can interact with the chatbot through the frontend interface.

Project Features

User Interaction: Users can send messages and receive responses from the chatbot.
Clear Chat Option: Users have the ability to clear the chat history.
Responsive Design: The application is designed to be user-friendly and visually appealing.

Technologies Used

Backend: Flask, DialoGPT (Hugging Face Transformers)
Frontend: React.js, Axios for API calls
Styling: CSS for UI design

Author

Developed by Kavindu Pramod.

For more information, visit my portfolio. `

KavinduPramod/RobinsoN_chatbot