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--- |
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license: mit |
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title: PythonScriptShowcase |
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sdk: streamlit |
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emoji: 🐨 |
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colorFrom: yellow |
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colorTo: purple |
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pinned: true |
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thumbnail: >- |
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https://cdn-uploads.huggingface.co/production/uploads/67bda0d043caf793e7275aac/LHgKS_jFqdZcvFfUSt00W.png |
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short_description: 'Python scripts and Hugging Face datasets ' |
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sdk_version: 1.42.2 |
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--- |
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# Python & HuggingFace Explorer |
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A Streamlit-based demonstration platform for showcasing Python scripts and Hugging Face datasets with interactive visualization. |
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## Features |
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- **Python Code Editor**: Write, edit, and execute Python code with syntax highlighting |
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- **Dataset Explorer**: Browse and analyze datasets from the HuggingFace Hub |
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- **Interactive Visualizations**: Create customized charts and graphs from your datasets |
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- **Model Metrics**: Analyze model performance with detailed metrics and comparisons |
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## Setup |
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1. Clone this repository |
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2. Install dependencies: |
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``` |
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pip install streamlit pandas matplotlib seaborn plotly scikit-learn datasets transformers |
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``` |
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3. Run the application: |
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``` |
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streamlit run app.py |
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``` |
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## Usage |
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### Code Editor |
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- Write Python code in the editor |
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- Use provided code templates for common tasks |
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- Execute code with the "Run Code" button |
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- View output, including text and visualizations |
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### Dataset Explorer |
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- Search for datasets on the HuggingFace Hub |
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- Browse popular datasets by category |
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- Examine dataset statistics and preview data |
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- Perform basic data analysis |
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### Visualizations |
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- Create various chart types (bar charts, scatter plots, etc.) |
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- Customize visualizations with different parameters |
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- Generate multi-visualization dashboards |
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- Download visualizations in different formats |
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### Model Metrics |
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- Upload model predictions for evaluation |
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- View classification metrics (confusion matrix, F1 score, etc.) |
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- Analyze regression metrics (MSE, RMSE, R², etc.) |
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- Explore example evaluations with simulated data |
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## Styling |
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The application uses a custom styling inspired by Hugging Face: |
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- Colors: Primary #2196F3, Secondary #FFB800, Background #F7F7F7, Text #242424, Accent #19A7CE |
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- Fonts: Inter for text, Source Code Pro for code |
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## License |
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This project is open source and available under the MIT License. |
