🤖 ChatAK: AI-Powered Chatbot

ChatAK is an AI-powered chatbot built from scratch, leveraging deep learning and neural networks for personalized responses. It uses Python's PyTorch library and is trained on custom datasets to predict user-specific replies.

🎥 Demo

app-description.mp4

⚙️ Initial Setup

1. Clone the Repository:

   git clone https://github.com/python-engineer/chatbot-deployment.git
   cd chatbot-deployment

2. Create a Virtual Environment:

   python -m venv venv
   source venv/Scripts/activate

3. Install Dependencies:

   pip install Flask torch torchvision nltk

4. Download NLTK Package:

   >>> import nltk
   >>> nltk.download('punkt')

5. Customize Chatbot: Edit intents.json to add your intents and responses.
6. Train Model:

   python train.py

7. Test Locally:

   python chat.py

🛠 Technologies Used

• Python with PyTorch
• Flask for backend
• JavaScript for frontend
• Heroku for deployment
• nltk for text processing

📂 Folder Structure

train.py: Training script for the chatbot model.
chat.py: Console-based testing.
intents.json: Stores intents and responses.
static/: Frontend files.
templates/: HTML templates for the web interface.
data.pth: Trained model file.

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Happy Chatting! 🎉 Try it here