🔒 Secure AI Chatbot

A professional chatbot application with JWT authentication built using FastAPI, Streamlit, and OpenAI GPT-3.5.

🌟 Features

• 🔐 Secure JWT Authentication - Protected API endpoints
• 🤖 AI-Powered Chat - OpenAI GPT-3.5 Turbo integration
• 🎨 Modern UI - Beautiful Streamlit frontend interface
• 💬 Real-time Chat - Interactive conversation experience
• 🛡️ Error Handling - Robust error management
• 📱 Responsive Design - Works on all devices

🚀 Quick Demo

Secure chat interface with authentication

🛠️ Technologies Used

Technology	Purpose
FastAPI	Backend API & Authentication
Streamlit	Frontend User Interface
OpenAI	AI Chat Integration
JWT	Token-based Authentication
Bcrypt	Password Hashing
Pydantic	Data Validation

🔧 Setup Instructions

Prerequisites

• Python 3.8 or higher
• OpenAI API Key

Installation

1. Clone the repository:

git clone https://github.com/yourusername/secure-ai-chatbot.git
cd secure-ai-chatbot

2. Create virtual environment:

python -m venv venv

# Windows
venv\Scripts\activate

# Mac/Linux
source venv/bin/activate

3. Install dependencies:

pip install -r requirements.txt

4. Setup environment variables:

# Copy template
cp .env.example .env

# Windows
copy .env.example .env

5. Configure your OpenAI API Key: Edit the .env file and add your API key:

OPENAI_API_KEY=sk-your-openai-api-key-here

Running the Application

Terminal 1 - Start Backend Server:

uvicorn main:app --reload --port 8000

Terminal 2 - Start Frontend Interface:

streamlit run frontend.py

Access the Application

• Backend API Docs: http://localhost:8000/docs
• Frontend Chat: http://localhost:8501

🔐 Default Credentials

Field	Value
Username	admin
Password	admin123

Note: Change these credentials in production

🎨 User Interface

Login Screen

Secure authentication interface

Chat Interface

Real-time AI chat experience

Settings Panel

Customizable API settings

📁 Project Structure

secure-ai-chatbot/
├── main.py              # FastAPI backend with authentication
├── frontend.py          # Streamlit frontend interface
├── requirements.txt     # Python dependencies
├── .env.example         # Environment variables template
├── .gitignore          # Git ignore file
├── README.md           # Project documentation
└── screenshots/        # Demo images
    ├── chat_demo.png
    ├── login_screen.png
    ├── chat_interface.png
    └── settings_panel.png

🔒 Security Features

• JWT Token Authentication
• Bcrypt Password Hashing
• Protected API Endpoints
• Secure Session Management
• Input Validation

🎯 API Endpoints

Endpoint	Method	Description
/	GET	Health check
/token	POST	Authentication endpoint
/chat	POST	AI chat endpoint
/users/me/	GET	User profile endpoint

🚀 Deployment Options

Heroku Deployment

# Procfile
web: uvicorn main:app --host 0.0.0.0 --port $PORT

Docker Deployment (Optional)

FROM python:3.9
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

📈 Performance Metrics

• Response Time: < 2 seconds
• Authentication: JWT token-based
• Scalability: Ready for production
• Security: Industry-standard practices

🐛 Troubleshooting

Common Issues

1. Authentication Error

   • Check .env file contains valid API key
   • Verify username/password credentials

2. Module Not Found

   pip install -r requirements.txt

3. Port Already in Use

   # Change port
   uvicorn main:app --reload --port 8001

Debug Mode

# Enable debug logging
export DEBUG=True
uvicorn main:app --reload --log-level debug

🤝 Contributing

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Open a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• FastAPI - Modern Python web framework
• Streamlit - Frontend framework
• OpenAI - AI model provider
• JWT - Authentication standard

📞 Support

For support, email [mtalharana093@gmail.com] or open an issue on GitHub.

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⭐ If you find this project helpful, please consider giving it a star on GitHub!

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_{Built with ❤️ by Talha Rana}