The streamlit_app.py has been refactored from a 5000+ line monolithic file into a clean modular structure:
src/data_toolkit/
├── streamlit_app.py # Main entry point (~200 lines)
├── tabs/ # Tab modules
│ ├── __init__.py # Exports all tab functions
│ ├── data_tab.py # Data loading
│ ├── statistical_tab.py # Descriptive statistics
│ ├── statistical_tests_tab.py # Hypothesis tests
│ ├── bayesian_tab.py # Bayesian inference
│ ├── uncertainty_tab.py # Uncertainty analysis
│ ├── signal_analysis_tab.py # FFT/Wavelet
│ ├── timeseries_tab.py # Time series analysis
│ ├── causality_tab.py # Granger causality
│ ├── ml_tab.py # Regression/Classification
│ ├── neural_networks_tab.py # MLP/LSTM/Autoencoder
│ ├── pca_tab.py # Principal Component Analysis
│ ├── clustering_tab.py # Clustering algorithms
│ ├── anomaly_tab.py # Anomaly detection
│ ├── dimreduction_tab.py # Dimensionality reduction
│ ├── nonlinear_tab.py # Non-linear analysis
│ ├── visualization_tab.py # Interactive plots
│ ├── tutorial_sidebar.py # Help documentation
│ └── shared.py # Common imports
└── utils/ # Utility modules
├── __init__.py
├── constants.py # PLOTLY_TEMPLATE, etc.
├── datetime_utils.py # Date parsing
└── session_state.py # Session initialization
- Replace your existing
src/data_toolkit/streamlit_app.py - Copy the
tabs/folder tosrc/data_toolkit/tabs/ - Copy the
utils/folder tosrc/data_toolkit/utils/ - Replace
test_data/neural_network_predict.csv
- Neural Networks Tab: Fixed UnboundLocalError from redundant imports
- Session State Conflicts: Renamed storage keys to avoid widget conflicts
- Training Results: Now persist when uploading prediction files
- MLP Prediction Plot: Shows actual vs predicted by sample index (blue/red lines)
- Test Data: neural_network_predict.csv now includes target column for comparison
cd data_analysis_toolkit
streamlit run src/data_toolkit/streamlit_app.py- Maintainability: Each tab is ~100-500 lines instead of one 5000+ line file
- Testability: Individual tabs can be tested independently
- Collaboration: Multiple developers can work on different tabs
- Readability: Clear separation of concerns
- Debugging: Errors point to specific tab files
Quick start and image recognition docs
- Quick Start (image demo): docs/QUICK_START.md
- Streamlit integration guide: docs/STREAMLIT_INTEGRATION_GUIDE.md