| ---
|
| title: PythonScriptShowcase
|
| emoji: ⚡
|
| colorFrom: blue
|
| colorTo: yellow
|
| sdk: streamlit
|
| sdk_version: 1.42.2
|
| app_file: app.py
|
| pinned: true
|
| license: mit
|
| short_description: Python scripts and Hugging Face datasets
|
| ---
|
| |
| # Python & HuggingFace Explorer |
|
|
| A Streamlit-based demonstration platform for showcasing Python scripts and Hugging Face datasets with interactive visualization. |
|
|
| ## Features |
|
|
| - **Python Code Editor**: Write, edit, and execute Python code with syntax highlighting |
| - **Dataset Explorer**: Browse and analyze datasets from the HuggingFace Hub |
| - **Interactive Visualizations**: Create customized charts and graphs from your datasets |
| - **Model Metrics**: Analyze model performance with detailed metrics and comparisons |
|
|
| ## Setup |
|
|
| 1. Clone this repository |
| 2. Install dependencies: |
| ``` |
| pip install streamlit pandas matplotlib seaborn plotly scikit-learn datasets transformers |
| ``` |
| 3. Run the application: |
| ``` |
| streamlit run app.py |
| ``` |
|
|
| ## Usage |
|
|
| ### Code Editor |
|
|
| - Write Python code in the editor |
| - Use provided code templates for common tasks |
| - Execute code with the "Run Code" button |
| - View output, including text and visualizations |
|
|
| ### Dataset Explorer |
|
|
| - Search for datasets on the HuggingFace Hub |
| - Browse popular datasets by category |
| - Examine dataset statistics and preview data |
| - Perform basic data analysis |
|
|
| ### Visualizations |
|
|
| - Create various chart types (bar charts, scatter plots, etc.) |
| - Customize visualizations with different parameters |
| - Generate multi-visualization dashboards |
| - Download visualizations in different formats |
|
|
| ### Model Metrics |
|
|
| - Upload model predictions for evaluation |
| - View classification metrics (confusion matrix, F1 score, etc.) |
| - Analyze regression metrics (MSE, RMSE, R², etc.) |
| - Explore example evaluations with simulated data |
|
|
| ## Styling |
|
|
| The application uses a custom styling inspired by Hugging Face: |
| - Colors: Primary #2196F3, Secondary #FFB800, Background #F7F7F7, Text #242424, Accent #19A7CE |
| - Fonts: Inter for text, Source Code Pro for code |
|
|
| ## License |
|
|
| This project is open source and available under the MIT License. |
