Cluster data points using KMeans
World warming land sites
Browse and explore datasets from Hugging Face
Generate detailed data reports
Analyze data to generate a comprehensive profile report
Label data for machine learning models
Classify breast cancer risk based on cell features
Transfer GitHub repositories to Hugging Face Spaces
Launch Argilla for data labeling and annotation
Predict linear relationships between numbers
Search for tagged characters in Animagine datasets
Explore and filter model evaluation results
Create a detailed report from a dataset
Gradio Pyscript is a powerful tool that enables the creation of web-based interfaces for data visualization and analysis. It combines the simplicity of PyScript, which allows Python code to run directly in web browsers, with the robust UI components of Gradio. This makes it ideal for developers and data scientists to build interactive, in-browser applications for visualizing and analyzing data.
• Real-Time Data Visualization: Generate interactive visualizations directly in the browser.
• In-Browser Execution: Run Python code and see results immediately without leaving the browser.
• Interactive UI Components: Utilize sliders, dropdowns, and other components to create dynamic interfaces.
• Customizable Visualizations: Tailor visualizations to meet specific needs using various customization options.
• Integration with Popular Libraries: Compatibility with libraries like Plotly for enhanced visualization capabilities.
pip install gradio and pip install pyscript.import gradio as gr and import pyscript as ps to your Python script.gr.Number(label="K value", value=3) for user inputs.if __name__ == "__main__": demo.launch().What is Gradio Pyscript?
Gradio Pyscript is a tool for creating web-based interfaces that run Python code in the browser, specifically designed for data visualization and analysis.
How do I install Gradio Pyscript?
Install Gradio Pyscript using pip: pip install gradio and pip install pyscript.
What is the main use case for Gradio Pyscript?
Its primary use case is for building interactive, in-browser data visualization and analysis applications.