https://github.com/code-alchemist01/ai-basic-editor
AI-powered code editor with Streamlit interface and Gemini API integration. Write professional code with expert-level AI assistance, real-time chat, and PostgreSQL database storage. Features modern UI, multiple Gemini models support, and secure API key management.
https://github.com/code-alchemist01/ai-basic-editor
ai api gemini postgresql python streamlit
Last synced: 6 months ago
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AI-powered code editor with Streamlit interface and Gemini API integration. Write professional code with expert-level AI assistance, real-time chat, and PostgreSQL database storage. Features modern UI, multiple Gemini models support, and secure API key management.
- Host: GitHub
- URL: https://github.com/code-alchemist01/ai-basic-editor
- Owner: code-alchemist01
- Created: 2025-10-02T19:30:42.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-10-02T21:52:58.000Z (6 months ago)
- Last Synced: 2025-10-02T22:28:28.560Z (6 months ago)
- Topics: ai, api, gemini, postgresql, python, streamlit
- Language: Python
- Homepage:
- Size: 29.3 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
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README
# 🤖 AI Basic Editor
Expert-level code writing assistant! Write professional code using the power of Gemini AI with a modern Streamlit-based interface.
## ✨ Features
- 🎨 **Modern Streamlit Interface**: Gradient colors and responsive design
- 🔗 **Gemini API Integration**: Google's most advanced AI model
- 📊 **PostgreSQL Database**: Chat history and knowledge storage
- 🤖 **Expert Code Editor**: Professional code writing with customized AI prompts
- 💬 **Real-time Chat**: Message history and cleanup features
- 🔧 **Easy Setup**: Run with a single command
## 🚀 Quick Start
### 1. Clone the Project
```bash
git clone https://github.com/code-alchemist01/AI-Basic-Editor.git
cd AI-Basic-Editor
```
### 2. Setup Environment Variables
```bash
# Copy the example file
copy .env.example .env
# Edit .env file and add your credentials
```
### 3. Run the Application
```bash
python run.py
```
The application will automatically install required packages and start at `http://localhost:8501`.
## ⚙️ Configuration
### .env File
Set the following variables in your `.env` file:
```env
# PostgreSQL Database URL
DATABASE_URL=postgresql://username:password@localhost:5432/ai_editor
# Gemini API Key (https://makersuite.google.com/app/apikey)
GEMINI_API_KEY=your_gemini_api_key_here
# Gemini Model
GEMINI_MODEL=gemini-2.0-flash
```
### Supported Models
- `gemini-2.0-flash` (Recommended - Fast and powerful)
- `gemini-1.5-pro` (Most advanced model)
- `gemini-1.5-flash` (Quick response)
## 📋 Usage Examples
### Web Development
```
"Create a responsive navbar component with React"
"Write REST API with Node.js Express"
"Design modern layout with CSS Grid"
```
### Python Development
```
"Write a blog application with Python Flask"
"Create data analysis script with Pandas"
"Write async web service with FastAPI"
```
### Database
```
"Optimize PostgreSQL performance"
"Write MongoDB aggregation pipeline"
"Create SQL injection protected queries"
```
### DevOps
```
"Write Docker multi-stage build file"
"Create Kubernetes deployment yaml"
"Write CI/CD pipeline with GitHub Actions"
```
## 🛠️ Development
### Project Structure
```
AI-Basic-Editor/
├── app.py # Main Streamlit application
├── database.py # PostgreSQL database management
├── gemini_client.py # Gemini API integration
├── run.py # Run script
├── requirements.txt # Python dependencies
├── database_schema.sql # Database schema
├── .env.example # Environment variables template
├── .gitignore # Git ignore file
└── README.md # This file
```
### Manual Installation
```bash
# Create virtual environment (optional)
python -m venv venv
venv\Scripts\activate # Windows
# source venv/bin/activate # Linux/Mac
# Install dependencies
pip install -r requirements.txt
# Start the application
streamlit run app.py
```
## 🔒 Security
- ✅ API keys are securely stored in `.env` file
- ✅ `.env` file is excluded from Git via `.gitignore`
- ✅ Manual API key input for secure usage
- ✅ Database connections are managed securely
## 📦 Dependencies
- `streamlit` - Web interface
- `psycopg2-binary` - PostgreSQL connection
- `google-generativeai` - Gemini API
- `python-dotenv` - Environment variables
- `sqlalchemy` - ORM
## 🤝 Contributing
1. Fork the project
2. Create a feature 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. Open a Pull Request
## 📄 License
This project is licensed under the MIT License.
## 🆘 Support
If you encounter issues:
1. Make sure your `.env` file is properly configured
2. Check that PostgreSQL database is running
3. Verify your Gemini API key is valid
4. Check terminal for error messages
## 🎯 Future Features
- [ ] Code syntax highlighting
- [ ] File upload/download
- [ ] Theme options
- [ ] Multi-language support
- [ ] Plugin system
- [ ] Code versioning