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.gitignore
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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.idea/
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# ---> Node
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# ---> Node
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# Logs
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# Logs
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108
README.md
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README.md
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# ai-training-monitor
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# Training Monitor
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Real-time monitoring system for ML training processes, specialized for diffusion model training visualization
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Real-time monitoring system for ML training processes, specialized for diffusion model training visualization.
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## Features
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- Real-time training progress visualization
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- Training metrics monitoring (loss, learning rate, ETA)
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- Sample image gallery with timeline view
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- Remote SFTP data source integration
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- Docker-based deployment
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## Project Structure
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```
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training-monitor/
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├── frontend/ # React frontend application
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│ ├── src/
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│ ├── public/
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│ ├── Dockerfile
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│ └── package.json
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├── backend/ # FastAPI backend application
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│ ├── app/
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│ │ ├── api/ # API routes
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│ │ ├── core/ # Core functionality
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│ │ ├── models/ # Data models
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│ │ └── services/ # Business logic
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│ ├── tests/
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│ └── Dockerfile
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├── docker/
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│ └── docker-compose.yml
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└── scripts/ # Utility scripts
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```
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## Tech Stack
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- **Frontend**: React (v18+)
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- Tailwind CSS for styling
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- React Query for data fetching
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- React Router for navigation
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- **Backend**: FastAPI
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- Paramiko for SFTP operations
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- Pydantic for data validation
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- SQLAlchemy for database (if needed)
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## Setup Instructions
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1. Clone the repository:
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```bash
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git clone https://github.com/yourusername/training-monitor.git
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cd training-monitor
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```
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2. Start the development environment:
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```bash
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docker-compose up --build
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```
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The application will be available at:
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- Frontend: http://localhost:3000
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- Backend API: http://localhost:8000
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- API Documentation: http://localhost:8000/docs
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## Development
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### Frontend Development
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```bash
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cd frontend
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npm install
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npm run dev
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```
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### Backend Development
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```bash
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cd backend
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python -m venv venv
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source venv/bin/activate # or `venv\Scripts\activate` on Windows
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pip install -r requirements.txt
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uvicorn app.main:app --reload
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```
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## Configuration
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Create a `.env` file in the root directory:
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```env
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# Backend
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SFTP_HOST=34.34.46.100
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SFTP_USER=felipe.cardoso
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SFTP_PASSWORD=your_password
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SFTP_PATH=/data/datasets/ovs_bangel_001/output/ovs_bangel_001/samples
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# Frontend
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REACT_APP_API_URL=http://localhost:8000
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```
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## Contributing
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1. Create a feature branch
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2. Commit your changes
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3. Push to the branch
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4. Create a Pull Request
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## License
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[Your chosen license]
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