1. Helpers
  2. load

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Dependency

make_waveform

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load

gradio.load(···)

Description

Constructs a demo from a Hugging Face repo. Can accept model repos (if src is "models") or Space repos (if src is "spaces"). The input and output components are automatically loaded from the repo. Note that if a Space is loaded, certain high-level attributes of the Blocks (e.g. custom css, js, and head attributes) will not be loaded.

Example Usage

import gradio as gr
demo = gr.load("gradio/question-answering", src="spaces")
demo.launch()

Initialization

Parameters
🔗 
name: str

the name of the model (e.g. "gpt2" or "facebook/bart-base") or space (e.g. "flax-community/spanish-gpt2"), can include the `src` as prefix (e.g. "models/facebook/bart-base")

🔗 
src: str | None
default = None

the source of the model: `models` or `spaces` (or leave empty if source is provided as a prefix in `name`)

🔗 
hf_token: str | Literal[False] | None
default = None

optional access token for loading private Hugging Face Hub models or spaces. Will default to the locally saved token if not provided. Pass `token=False` if you don't want to send your token to the server. Find your token here: https://huggingface.co/settings/tokens. Warning: only provide a token if you are loading a trusted private Space as it can be read by the Space you are loading.

🔗 
alias: str | None
default = None

optional string used as the name of the loaded model instead of the default name (only applies if loading a Space running Gradio 2.x)

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Dependency

make_waveform

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