Buzzy the Chatbot

Description

Simple chatbot implemented using TensorFlow and (NLP). The chatbot is trained on a predefined data and can respond to inputs accordingly.

File Structure

• preparation.py: => load, preprocess data, and save data.
• training.py: => build and train the model.
• util.py: => processing sentences and making predictions.
• app.py: => execute the training and test the chatbot.

Requirements

• Python 3.x
• TensorFlow
• NLTK
• NumPy
• Pickle

Installation

1. Clone the repository:

   git clone https://github.com/KhaledAlabssi/Buzzy_the_Chatbot.git
   cd Buzzy_the_Chatbot

2. Install the required packages:

   pip install -r requirements.txt

Usage

1. Prepare the intents file (intents.json) with the training data "data examples" are shared in (internts.example.json).

2. Run the main script to train the model:

   python app.py

3. The trained model will be saved as chatbot_model.h5, and the processed data will be saved as words.pkl and classes.pkl.

Get in Touch

LinkedIn: linkedIn.com/in/Khaled-Alabssi

GitHub: github.com/KhaledAlabssi

Website: khaled.alabssi.com

Happy Coding!