| | --- |
| | license: mit |
| | title: PythonScriptShowcase |
| | sdk: streamlit |
| | emoji: 🐨 |
| | colorFrom: yellow |
| | colorTo: purple |
| | pinned: true |
| | thumbnail: >- |
| | https://cdn-uploads.huggingface.co/production/uploads/67bda0d043caf793e7275aac/LHgKS_jFqdZcvFfUSt00W.png |
| | short_description: 'Python scripts and Hugging Face datasets ' |
| | sdk_version: 1.42.2 |
| | --- |
| | # 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. |
