Chatbot

This project is a simple AI chatbot that includes channels for communication, including a Guess Number Game and an NLP Channel for sentiment analysis. The chatbot and channels are built using Flask, and the NLP Channel leverages the TextBlob library to analyze the sentiment of messages.

Features

• NLP Sentiment Analysis: Messages sent through the NLP Channel are analyzed for sentiment (positive, neutral, or negative) using the TextBlob library. Polarity scores are also provided.
• Guess Number Game: The chatbot includes a simple game where users guess a number, and the bot responds with feedback on whether their guess was too high, too low, or correct.

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.7 or later installed
• Pip (Python package manager) installed
• Flask and dependencies listed in requirements.txt
• TextBlob for sentiment analysis

Install dependencies

You can install the dependencies using pip:

pip install -r requirements.txt

How to Run the Project

1. Start the Hub and client First, start the hub that manages the channels.

python hub.py
python client.py

This will start the hub on http://localhost:5555. The hub allows channels to register and manage communication with the client. The chatbot and the game run on http://localhost:5005.

2. Start Channels Run channels for each of them open new terminal:

python nlp_channel.py
python channel.py
python channel2.py
python chatbot.py

The NLP channel runs on http://localhost:5008 and listens for incoming messages for sentiment analysis.

4. Access the Client After registering the NLP channel, you can access the web client by navigating to:

http://localhost:5005/

This will list the available channels, including the NLP channel and the Guess Number game. You can interact with each channel by clicking on it.

Customization

Adding New Channels You can add more channels by creating new Flask apps (similar to nlp_channel.py) and registering them with the hub. Each channel can have its own unique functionality.

Register the new Channel

Once the channel is running, register it with the hub using the following command:

flask --app new_channel:app register

Modifying the Frontend

The HTML files for the chat interfaces are located in the templates/ directory. You can modify the CSS and HTML to customize the user interface.

License This project is open-source and free to use under the MIT License.