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gradio

Official
huggingface·v1.0.0·ai-ml·Apache-2.0

Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.

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What we know about this skill

Publisher

huggingface

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Install target

Live repository

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Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

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    Scanned huggingface/skills at 80f9fa530e.

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Commit
80f9fa530e
Manifest
skills/huggingface-gradio/SKILL.md
Scanned
2 files, 849 lines
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About this skill

What it does

This skill allows you to build interactive web user interfaces (UIs) and demonstrations for your machine learning models using the Gradio library in Python. It enables creation of custom components, event listeners, and layouts to showcase model functionality. You can use this skill to create simple chatbots or more complex applications with multiple inputs and outputs.

When to use it

  • Demoing a Machine Learning Model: Quickly create a web UI for users to interact with your trained model and see its predictions in real-time.
  • Prototyping User Interfaces: Experiment with different input types (text, image, audio) and layouts before committing to a full application development cycle.
  • Building Simple Chatbots: Construct basic conversational interfaces for testing or showcasing chatbot functionality.
  • Creating Custom Components: Develop specialized UI elements tailored to your specific model’s needs beyond Gradio's built-in options.

Key capabilities

  • Creation of Gradio web UIs
  • Development of custom components
  • Implementation of event listeners
  • Design of layouts for applications
  • Building chatbots

Example prompts

  • "Create a simple Gradio interface that takes text input and returns a sentiment score."
  • "Build a demo for my image classification model using Gradio, with an image upload component."
  • "Generate a Gradio chatbot application with a text input field and a response display area."

Tips & gotchas

  • Requires Python and the Gradio library to be installed. Ensure these dependencies are met before attempting to use this skill.
  • The complexity of the UI you can create is limited by your understanding of Gradio's API and Python programming skills.