Simple Chatbot

This is a simple chatbot implemented in Python using TensorFlow/Keras. It can understand and respond to various intents based on the user's input.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

• Python 3.6+
• pip (Python package manager)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/simple-chatbot.git

2. Navigate to the project directory:

   cd simple-chatbot

3. Install the dependencies using pip:

   pip install -r requirements.txt

Usage

1. Training the Chatbot:

   • Make sure you have a intends.json file containing your training data.

   • Run the training script:

     python Chat_bot.py

   This will train the chatbot model and save it along with the tokenizer and label encoder.

2. Start Chatting:

   • Once the chatbot is trained, you can start chatting with it using the interactive chat script:

     python Chat_bot.py

   The chatbot will prompt you to enter a message, and it will respond based on the trained model.

File Structure

• intends.json: Contains training data in JSON format.
• train_chatbot.py: Script to train the chatbot model.
• chat.py: Script for interactive chatting with the trained model.
• requirements.txt: List of Python dependencies for the project.