aayRJ23 / ChatBot-JobDekho

Chatbot for job portal website

AskMeAnything Bot

Introduction

AskMeAnything Bot is a simple yet powerful chatbot application that allows users to interact and get responses to their queries. This application uses a Flask backend to serve a trained NLP model which generates responses to user inputs.

Features

• Interactive Chat Interface: A user-friendly chat interface powered by React.
• NLP Model Integration: Uses a trained NLP model to generate responses to user queries.
• Flask Backend: A robust backend service to handle API requests and responses.
• CORS Enabled: Cross-Origin Resource Sharing enabled to handle requests from different origins.
• Error Handling: Graceful error handling for better user experience.

Usage

1. Open the Chatbot: Click on the chatbot icon to open the chat window.
2. Send a Message: Type your message in the input field and hit "Send".
3. Get a Response: The bot will respond to your message using the trained NLP model.

How to Run

Prerequisites

• Python 3.x
• Flask

Installation Procedure

Backend Setup (Flask)

For Windows

1. Clone the Repository

   Open Command Prompt or PowerShell and run:

   git clone https://github.com/yourusername/askmeanything-bot.git
   cd askmeanything-bot/backend

2. Create and Activate Virtual Environment

   python -m venv venv
   venv\Scripts\activate

3. Install Dependencies

   pip install -r requirements.txt

4. Run the Flask Server

   set FLASK_APP=app.py
   flask run

   The server will start on http://127.0.0.1:5000.

For macOS

1. Clone the Repository

   Open Terminal and run:

   git clone https://github.com/yourusername/askmeanything-bot.git
   cd askmeanything-bot/backend

2. Create and Activate Virtual Environment

   python3 -m venv venv
   source venv/bin/activate

3. Install Dependencies

   pip install -r requirements.txt

4. Run the Flask Server

   export FLASK_APP=app.py
   flask run

   The server will start on http://127.0.0.1:5000.

Integration

Ensure that your Flask backend is running and accessible. The React app will send requests to the Flask server to get responses for user inputs.

Additional Information

• Flask App: The Flask application handles incoming POST requests to the /predict endpoint, processes the input using the trained NLP model, and returns the predicted response.

Feel free to contribute to this project by opening issues or submitting pull requests📍.