Update README.md

README.md

@@ -1,14 +1,75 @@
----
-title: PythonScriptShowcase
-emoji: ⚡
-colorFrom: blue
-colorTo: yellow
-sdk: streamlit
-sdk_version: 1.42.2
-app_file: app.py
-pinned: false
-license: mit
-short_description: Python scripts and Hugging Face datasets
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+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.