/ChatBot-JobDekho

Chatbot for job portal website

Primary LanguagePython

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📍.