gradio-app

Build Gradio web UIs and demos in Python. Use when creating, modifying, debugging, or answering questions about Gradio and its capabilties, components, event listeners, or layouts.

Write comprehensive, behaviour-driven unit tests for Gradio frontend Svelte components using Vitest browser mode, Playwright, and the @self/tootils test utilities.

Build and customise Gradio themes. Use when creating, editing, or publishing Python-based Gradio themes that control colours, typography, spacing, shadows, and dark mode.

Use Gradio applications via API. Use when the user asks for to generate a prediction from a Gradio app on Hugging Face spaces or public URL. For example, "Generate an image using black-forest-labs/FLUX.2-dev".

Reproduce, diagnose, fix, verify, and draft-PR Gradio GitHub issues, including public before/after Hugging Face Spaces deployed with the hf CLI and linked in the PR description. Use when the user provides a gradio-app/gradio issue URL or issue number and…

Fix up a PR by merging main if needed, addressing review comments, pushing updates, and iterating on CI failures until checks pass. Use when the user asks to "fix up a PR", "run cireview", resolve Copilot/GitHub review comments, or babysit CI on the current…

Benchmark Gradio app performance. Use when the user wants to load test a Gradio app, compare branches, profile a HF Space, or run A/B tests.

Benchmark Gradio app performance. Use when the user wants to load test a Gradio app, compare branches, profile a HF Space, or run A/B tests.

Track and visualize ML training experiments and agent traces with Trackio. Use when logging metrics during training, firing alerts for training, or retrieving/analyzing logged data.

Build DAG-based AI pipelines connecting Gradio Spaces, HuggingFace models, and Python functions into visual workflows. Use when asked to create a workflow, build a pipeline, connect AI models, chain Gradio Spaces, create a daggr app, build multi-step AI…