Simple AI Chatbot

Description

Simple AI Chatbot is a Python-based chatbot model implemented using TensorFlow Keras Sequential model. The project includes modules for data extraction, data preprocessing, and a chatbot model. Also, facilitate the prompt-based interaction with chatbot and user.

Project Structure

• chatbot_model: Saved Model
• data_extraction.py: Data Extraction
• data_preprocessor.py: Data Preprocessor
• datasets.json: Dataset JSON File
• label_encoder.pickle: Saved Encoder
• tokenizer.pickle: Saved Tokenizer
• main.py: Main
• model.py: Model Builder
• requirements.txt: Requirements for Project

Chatbot Features

• Implemented using TensorFlow Keras Sequential model.
• Supports data extraction and preprocessing for chatbot training.
• Utilizes datasets in JSON format (datasets.json) and dialogue data (dialogs.txt).
• Includes a self-trained label encoder (label_encoder.pickle) and tokenizer (tokenizer.pickle).

Installation

To install and run the Simple AI Chatbot, follow these steps:

1. Clone the repository:

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

2. Install dependencies:

   pip install -r requirements.txt

Usage

To use the Simple AI Chatbot, follow these steps:

1. Run the main script:

   python main.py

2. Interact with the chatbot:
   • Follow the prompts to engage in a conversation with the Simple AI Chatbot.
   • Explore the chatbot's responses and capabilities.

Contributing

Contributions are welcome! If you'd like to contribute, please follow the contribution guidelines.