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import gradio as gr
def get_app(
models: list[str],
default_model: str,
dropdown_label: str = "Select Hyperbolic Model",
choices: list[str] = None,
**kwargs,
) -> gr.Blocks:
display_choices = choices if choices is not None else models
def update_model(new_model: str) -> list[gr.Column]:
if choices is not None:
idx = display_choices.index(new_model)
new_model = models[idx]
return [gr.Column(visible=model_name == new_model) for model_name in models]
with gr.Blocks(fill_height=True) as demo:
model = gr.Dropdown(
label=dropdown_label,
choices=display_choices,
value=choices[models.index(default_model)] if choices else default_model
)
columns = []
for model_name in models:
with gr.Column(visible=model_name == default_model) as column:
load_kwargs = {k: v for k, v in kwargs.items() if k not in ['src', 'choices']}
from ai_gradio.providers import registry
gr.load(name=model_name, src=registry, **load_kwargs)
columns.append(column)
model.change(
fn=update_model,
inputs=model,
outputs=columns,
api_name=False,
queue=False,
)
for fn in demo.fns.values():
fn.api_name = False
return demo |