README_en.md

MyChatMe - Multilingual AI Chat Application

An advanced multilingual AI chat application designed to streamline cross-language communication and prompt template management.

日本語 | English

🌟 Key Features

• 🤖 Multiple AI Model Support
  • OpenAI GPT-4
  • Google Gemini-2.0
  • Anthropic Claude-3.5
• 🌐 Multilingual Support
  • English and Japanese interfaces
  • Language switching capability
• 📝 Prompt Template Management
  • Save and edit templates
  • Category classification
• 💾 Chat History
  • Export as Markdown
  • PDF output support
• 🎨 Customizable Themes
• ⚡ Responsive Design

🛠️ Technology Stack

• Frontend: Streamlit
• Backend: Python 3.12
• AI Integration:
  • OpenAI API
  • Google Gemini API (via OpenRouter)
  • Anthropic Claude API (via OpenRouter)
• Internationalization: Custom i18n system
• Data Export: ReportLab (PDF generation)

📋 Prerequisites

• Python 3.12 or higher
• OpenAI API key
• OpenRouter API key (for Gemini-2.0 and Claude-3.5)

🚀 Setup

1. Clone the repository:

git clone https://github.com/yourusername/mychatme.git
cd mychatme

2. Install dependencies:

pip install -r requirements.txt

3. Set environment variables:

# Create .env file
OPENAI_API_KEY=your_openai_api_key
OPENROUTER_API_KEY=your_openrouter_api_key

4. Start the application:

streamlit run main.py

💡 Usage

1. Language Selection:

   • Choose English/Japanese from the sidebar

2. AI Model Selection:

   • Choose between GPT-4, Gemini-2.0, and Claude-3.5
   • Select based on each model's strengths

3. Prompt Templates:

   • Create and save templates
   • Load saved templates
   • Edit and delete templates

4. Chat History Management:

   • Export chat content (MD/PDF)
   • Timezone-aware history management

5. Theme Customization:

   • Light/Dark mode
   • Color theme changes

🔒 Security

• API credentials managed via environment variables
• Secure session state management
• Error handling and rate limiting implementation

🤝 Contributing

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

📜 License

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

🙏 Acknowledgments

• Streamlit - Amazing web application framework
• OpenAI - GPT-4 model provider
• OpenRouter - Unified AI model access
• ReportLab - PDF export functionality

📞 Support

If you have any issues or suggestions, please let us know in the GitHub Issues section.