🎨 Gradio Flashcards
Build, share, and demo machine learning apps effortlessly in Python
💡 What is Gradio?
Gradio is a Python library that lets you create interactive web apps for ML models quickly without needing frontend skills.
⚡ Fast Prototyping
Turn a Python function into a shareable web interface in minutes, making it easy to demo models to non-technical users.
🎛 Component Library
Supports input/output components like text, images, audio, video, sliders, and dropdowns for interactive demos.
🔗 Easy Sharing
Gradio generates public share links so others can try your app without installing anything locally.
🤖 Model Integration
Works seamlessly with Hugging Face models, TensorFlow, PyTorch, OpenAI APIs, and custom Python ML pipelines.
🛠 Live Demos
Use Gradio to create interactive examples for research papers, tutorials, and AI model showcases.
📦 Hugging Face Spaces
Deploy Gradio apps for free on Hugging Face Spaces to reach a global audience instantly.
🧪 Testing & Feedback
Collect real-time user feedback to improve your model and test different variations interactively.
📜 Code Simplicity
Minimal boilerplate—wrap your Python function with gr.Interface and launch the app with .launch().
🔌 Event Handling
Supports complex workflows with event listeners, state management, and custom JS callbacks.
🖼 Gallery Hosting
Showcase your Gradio apps in the Hugging Face Gradio Gallery to increase visibility and community use.
🚀 Common Use Cases
ML demos, AI chatbots, audio transcription, image classification, RAG demos, and educational tools.