Chatbot with Google Cloud Natural Language API

This is a simple chatbot built with Python, Flask, and the spaCy NPL model. The chatbot is capable of finding the remander of a sentence in a website provided by the user. The code uses Flask along side an HTML file to create a local host where you can imput the question and website link.

Features

• Fetches content from a specified URL using web scraping techniques
• Analyzes user queries using spaCy for natural language processing
• Generates responses based on the content of the web page

Installation

1. Clone the repository:

   git clone https://github.com/your_username/your_repository.git

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the Flask application:

   python Chatbot.py

2. Open your web browser and navigate to http://localhost:5000. You should see the chatbot interface.
3. Start interacting with the chatbot. Type a message in the input box and press Enter to see the response.

Configuration

The chatbot configuration can be modified in the Chatbot.py file.

• Update the url variable with the URL of the web page you want to analyze.

Troubleshooting

• If you encounter any issues, please check the console for error messages.