Customer Support Bot

A powerful customer support chatbot built with Streamlit and OpenAI's GPT models, designed to handle customer inquiries efficiently and provide intelligent responses.

Table of Contents

• Overview
• Features
• Installation
• Usage
• Configuration
• Project Structure
• Technologies Used
• Contributing
• License

Overview

This Customer Support Bot leverages advanced AI to provide instant, intelligent responses to customer queries. Built with Streamlit for a seamless user interface and powered by OpenAI's language models, it offers a modern solution for automated customer service.

Features

• 🤖 AI-Powered Responses: Utilizes OpenAI's GPT models for intelligent conversation
• 💬 Real-time Chat Interface: Clean and intuitive chat UI built with Streamlit
• 🎯 Context-Aware Conversations: Maintains conversation context for coherent interactions
• ⚡ Easy Deployment: Simple setup and deployment process
• 🔧 Customizable: Easy to modify and extend for specific use cases
• 📱 Responsive Design: Works well on both desktop and mobile devices

Installation

Prerequisites

• Python 3.8 or higher
• OpenAI API key

Step-by-Step Setup

1. Clone the repository

git clone https://github.com/znblrean/customer-support-bot.git
cd customer-support-bot

2. Create a virtual environment (recommended)

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies

pip install -r requirements.txt

4. Set up environment variables
   • Create a .env file in the root directory
   • Add your OpenAI API key:

OPENAI_API_KEY=your_openai_api_key_here

Usage

Running the Application

1. Start the Streamlit app

streamlit run app.py

2. Access the application
   • Open your web browser and go to http://localhost:8501
   • Start chatting with the customer support bot!

Basic Usage

1. Enter your message in the chat input box
2. Press Enter or click the Send button
3. The AI will generate a response based on your query
4. Continue the conversation as needed

Configuration

Environment Variables

The following environment variables can be configured:

• OPENAI_API_KEY: Your OpenAI API key (required)
• OPENAI_MODEL: GPT model to use (default: gpt-3.5-turbo)
• TEMPERATURE: Controls response creativity (default: 0.7)

Model Settings

You can customize the AI behavior by modifying:

• Temperature: Higher values (e.g., 0.8) make responses more creative, lower values (e.g., 0.2) make them more focused
• Max Tokens: Limit the length of responses
• System Prompt: Define the bot's personality and response style

Project Structure

customer-support-bot/
├── app.py                 # Main Streamlit application
├── requirements.txt       # Python dependencies
├── .env.example          # Example environment variables
├── README.md             # Project documentation
├── utils/                # Utility functions
│   ├── __init__.py
│   └── chat_utils.py     # Chat-related utilities
├── config/               # Configuration files
│   └── settings.py       # Application settings
└── assets/               # Static assets (if any)

Technologies Used

• Streamlit: Web application framework
• OpenAI API: AI-powered language model
• Python-dotenv: Environment variable management
• Python 3.8+: Programming language

Contributing

We welcome contributions! Please feel free to submit pull requests or open issues for bugs and feature requests.

Contribution Guidelines

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Development Setup

1. Follow the installation steps above
2. Make your changes
3. Test thoroughly
4. Ensure code follows PEP 8 guidelines
5. Update documentation as needed

License

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

Support

If you encounter any issues or have questions:

1. Check the Issues page
2. Create a new issue with detailed information
3. Provide steps to reproduce any bugs

Acknowledgments

• OpenAI for providing the GPT API
• Streamlit for the excellent web framework
• Contributors and users who help improve this project

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