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- Gradio
Build share delightful machine learning apps Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere!
- Quickstart - gradio. app
Simply type gradio sketch into your terminal to open up an editor that lets you define and modify Gradio components, adjust their layouts, add events, all through a web editor
- Gradio Documentation
Build and share machine learning demos and web applications using the core Gradio Python library
- Gradio Lite
Enter Gradio-lite (@gradio lite): a library that leverages Pyodide to bring Gradio directly to your browser In this blog post, we'll explore what @gradio lite is, go over example code, and discuss the benefits it offers for running Gradio applications What is @gradio lite?
- Gradio Playground
Play Around with Gradio Demosdemo = gr Interface (fn=greet, inputs="textbox", outputs="textbox")
- Gradio Examples Docs
A string path to a directory of examples can also be provided but it should be within the directory with the python file running the gradio app If there are multiple input components and a directory is provided, a log csv file must be present in the directory to link corresponding inputs
- Creating Plots - gradio. app
Creating Plots Gradio is a great way to create extremely customizable dashboards Gradio comes with three native Plot components: gr LinePlot, gr ScatterPlot and gr BarPlot All these plots have the same API Let's take a look how to set them up Creating a Plot with a pd Dataframe Plots accept a pandas Dataframe as their value
- More On Examples - gradio. app
If cache_examples=True, your Gradio app will run all of the examples and save the outputs when you call the launch() method This data will be saved in a directory called gradio_cached_examples in your working directory by default
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