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Gradio

Build and share delightful machine learning apps in Python

★ 43,015 GitHub Apache-2.0 mlpythondemoweb-uihuggingfacemachine-learning LLM & Chat

Überblick

Gradio is the open-source Python library for building interactive machine learning demos and web apps. With 43k+ GitHub stars, it lets you create customizable UIs for ML models in minutes. Built by Hugging Face, Gradio supports a wide range of input/output types including text, image, audio, video, and dataframes. It integrates seamlessly with popular ML frameworks like PyTorch, TensorFlow, and scikit-learn, and can be shared instantly via a public link. Perfect for ML engineers, researchers, and educators who want to showcase models without web development expertise.

Anforderungen

Min vCPU
1
Min RAM
512 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
2048 MB
Rec Disk
20 GB

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Affiliate-Hinweis

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  gradio:
    image: gradio/gradio:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/gradio:/data

Bester VPS für Gradio →

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Anleitungen & Artikel

Getting Started with Gradio: Quick Start Guide

Get started with Gradio in 5 minutes. Install, build your first app, share it publicly, and deploy with Docker or Hugging Face Spaces.

Jun 28, 2026

Gradio: Build ML Demos in Minutes with Python

Gradio is the open-source Python library for building interactive ML demo apps with instant sharing. Covers features, Hugging Face Spaces, and self-hosting.

Jun 28, 2026