feat: 添加Kronos Web UI完整功能

.gitignore

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+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# PyCharm
+.idea/
+
+# VS Code
+.vscode/
+
+# macOS
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# Windows
+Thumbs.db
+ehthumbs.db
+Desktop.ini
+
+# Linux
+*~
+
+# Data files (large files)
+*.feather
+*.csv
+*.parquet
+*.h5
+*.hdf5
+
+# Model files (large files)
+*.pth
+*.pt
+*.ckpt
+*.bin
+
+# Logs
+*.log
+logs/
+
+# Environment
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Temporary files
+*.tmp
+*.temp
+temp/
+tmp/

webui/README.md

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+# Kronos Web UI
+
+Web user interface for Kronos financial prediction model, providing intuitive graphical operation interface.
+
+## ✨ Features
+
+- **Multi-format data support**: Supports CSV, Feather and other financial data formats
+- **Smart time window**: Fixed 400+120 data point time window slider selection
+- **Real model prediction**: Integrated real Kronos model, supports multiple model sizes
+- **Prediction quality control**: Adjustable temperature, nucleus sampling, sample count and other parameters
+- **Multi-device support**: Supports CPU, CUDA, MPS and other computing devices
+- **Comparison analysis**: Detailed comparison between prediction results and actual data
+- **K-line chart display**: Professional financial K-line chart display
+
+## 🚀 Quick Start
+
+### Method 1: Start with Python script
+```bash
+cd webui
+python run.py
+```
+
+### Method 2: Start with Shell script
+```bash
+cd webui
+chmod +x start.sh
+./start.sh
+```
+
+### Method 3: Start Flask application directly
+```bash
+cd webui
+python app.py
+```
+
+After successful startup, visit http://localhost:7070
+
+## 📋 Usage Steps
+
+1. **Load data**: Select financial data file from data directory
+2. **Load model**: Select Kronos model and computing device
+3. **Set parameters**: Adjust prediction quality parameters
+4. **Select time window**: Use slider to select 400+120 data point time range
+5. **Start prediction**: Click prediction button to generate results
+6. **View results**: View prediction results in charts and tables
+
+## 🔧 Prediction Quality Parameters
+
+### Temperature (T)
+- **Range**: 0.1 - 2.0
+- **Effect**: Controls prediction randomness
+- **Recommendation**: 1.2-1.5 for better prediction quality
+
+### Nucleus Sampling (top_p)
+- **Range**: 0.1 - 1.0
+- **Effect**: Controls prediction diversity
+- **Recommendation**: 0.95-1.0 to consider more possibilities
+
+### Sample Count
+- **Range**: 1 - 5
+- **Effect**: Generate multiple prediction samples
+- **Recommendation**: 2-3 samples to improve quality
+
+## 📊 Supported Data Formats
+
+### Required Columns
+- `open`: Opening price
+- `high`: Highest price
+- `low`: Lowest price
+- `close`: Closing price
+
+### Optional Columns
+- `volume`: Trading volume
+- `amount`: Trading amount (not used for prediction)
+- `timestamps`/`timestamp`/`date`: Timestamp
+
+## 🤖 Model Support
+
+- **Kronos-mini**: 4.1M parameters, lightweight fast prediction
+- **Kronos-small**: 24.7M parameters, balanced performance and speed
+- **Kronos-base**: 102.3M parameters, high quality prediction
+
+## 🖥️ GPU Acceleration Support
+
+- **CPU**: General computing, best compatibility
+- **CUDA**: NVIDIA GPU acceleration, best performance
+- **MPS**: Apple Silicon GPU acceleration, recommended for Mac users
+
+## ⚠️ Notes
+
+- `amount` column is not used for prediction, only for display
+- Time window is fixed at 400+120=520 data points
+- Ensure data file contains sufficient historical data
+- First model loading may require download, please be patient
+
+## 🔍 Comparison Analysis
+
+The system automatically provides comparison analysis between prediction results and actual data, including:
+- Price difference statistics
+- Error analysis
+- Prediction quality assessment
+
+## 🛠️ Technical Architecture
+
+- **Backend**: Flask + Python
+- **Frontend**: HTML + CSS + JavaScript
+- **Charts**: Plotly.js
+- **Data processing**: Pandas + NumPy
+- **Model**: Hugging Face Transformers
+
+## 📝 Troubleshooting
+
+### Common Issues
+1. **Port occupied**: Modify port number in app.py
+2. **Missing dependencies**: Run `pip install -r requirements.txt`
+3. **Model loading failed**: Check network connection and model ID
+4. **Data format error**: Ensure data column names and format are correct
+
+### Log Viewing
+Detailed runtime information will be displayed in the console at startup, including model status and error messages.
+
+## 📄 License
+
+This project follows the license terms of the original Kronos project.
+
+## 🤝 Contributing
+
+Welcome to submit Issues and Pull Requests to improve this Web UI!
+
+## 📞 Support
+
+If you have questions, please check:
+1. Project documentation
+2. GitHub Issues
+3. Console error messages