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WasteTrack Chatbot Flask

This project is a simple chatbot implemented using Flask, Python, and a model trained with Bidirectional LSTM (BiLSTM) and Bidirectional GRU (BiGRU) neural networks. The chatbot interacts with users, processes their input, and generates appropriate responses based on the trained model.

📷 Screenshot

Web Interface

✨ Prerequisites

  • Python 3.x
  • Flask
  • TensorFlow (or Keras)
  • scikit-learn
  • NLTK

🤖 Installation

  1. Clone the repository:

    git clone https://github.com/bimarakajati/WasteTrack-Chatbot-API.git

  2. Install the required dependencies:

    pip install -r requirements.txt

💁‍ Usage

  1. Run the Flask app: 
    python main.py
  2. Open your web browser and navigate to http://localhost:5000/ to access the chatbot interface or run the following command for terminal chatbot: 
    python chatbot.py
  3. Start chatting with the chatbot by entering your messages in the input field and pressing Enter.
  4. The chatbot will respond with generated replies based on the pre-trained model's predictions.

✨ Author

Name NIM Job Desk
Afrizal Mukti Pramutiansyah A11.2019.11893 Chatbot
Bima Rakajati A11.2020.13088 Flask

📙 Reference

Thanks to their great works：