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

✨ 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：

• https://buffml.com/web-based-chatbot-using-flask-api/