Chatbot

The Chatbot is a user-friendly interface that allows users to interact with a virtual chatbot. The chatbot responds to user inputs by using predefined rules and sentiment analysis. Built using a combination of HTML, CSS, JavaScript, and Python technologies, the application provides an engaging and dynamic conversation experience. The Chatbot Web Application is a fun and interactive way to experience the capabilities of natural language processing and rule-based responses. Whether you want to have a casual conversation or explore sentiment analysis, the chatbot is here to assist you!

Installation

1. Clone this repository to your local machine.

2. In terminal, Navigate to the project directory

3. Create a virtual environment (optional but recommended): python -m venv venv source venv/bin/activate (on macOS/Linux) venv\Scripts\activate (on Windows)

4. Install required Python packages: pip install -r requirements.txt

5. Start the Flask development server: python app.py

6. Open your web browser and visit http://localhost:5000 to interact with the chatbot.

Usage

Enter Your Message: Type your message into the chat input area provided on the web page. Send: Click the "Send" button to submit your message to the chatbot. Receive Responses: The chatbot will process your message and respond accordingly. It can provide greetings, answer queries, or engage in casual conversation. Sentiment Analysis: The chatbot's responses are tailored based on sentiment analysis. It can detect whether your message conveys positivity or negativity and respond accordingly. Engage with Predefined Rules: The chatbot also follows predefined rules to respond to common greetings, inquiries, and other messages.

Technologies Used

• HTML, CSS, JavaScript: Front-end technologies for creating the user interface and interactions in the web application.
• Flask: A Python web framework used to develop the server-side logic and handle HTTP requests.
• TextBlob: A Python library for natural language processing (NLP), used for sentiment analysis of user messages.
• Gunicorn or Waitress: Python WSGI HTTP server options for deploying the Flask application.
• PythonShell (from the python-shell package): A library to run Python code from Node.js.

Features

• User-friendly chatbot interface
• Predefined rule-based responses
• Sentiment analysis for personalized responses
• Easy setup and installation