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OK, works via markdown, with huggingface emoji
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import gradio as gr
from mammal_demo.demo_framework import (
ModelRegistry,
TaskRegistry,
)
from mammal_demo.dti_task import DtiTask
from mammal_demo.ppi_task import PpiTask
from mammal_demo.ps_task import PsTask
from mammal_demo.tcr_task import TcrTask
all_tasks = TaskRegistry()
all_models = ModelRegistry()
# first create the required tasks
# Note that the tasks need access to the models, as the model to use depends on the state of the widget
# we pass the all_models dict and update it when we actualy have the models.
ppi_task = all_tasks.register_task(PpiTask(model_dict=all_models))
tdi_task = all_tasks.register_task(DtiTask(model_dict=all_models))
ps_task = all_tasks.register_task(PsTask(model_dict=all_models))
tcr_task = all_tasks.register_task(TcrTask(model_dict=all_models))
# create the model holders. hold the model and the tokenizer, lazy download
# note that the list of relevent tasks needs to be stated.
all_models.register_model(
model_path="ibm/biomed.omics.bl.sm.ma-ted-458m.dti_bindingdb_pkd",
task_list=[tdi_task],
)
all_models.register_model(
model_path="ibm/biomed.omics.bl.sm.ma-ted-458m.tcr_epitope_bind",
task_list=[tcr_task],
)
all_models.register_model(
model_path="ibm/biomed.omics.bl.sm.ma-ted-458m.protein_solubility",
task_list=[ps_task],
)
all_models.register_model(
model_path="ibm/biomed.omics.bl.sm.ma-ted-458m",
task_list=[ppi_task],
)
all_models.register_model(
"https://huggingface.co/ibm/biomed.omics.bl.sm.ma-ted-458m.moleculenet_clintox_tox"
)
all_models.register_model(
"https://huggingface.co/ibm/biomed.omics.bl.sm.ma-ted-458m.moleculenet_clintox_fda"
)
all_models.register_model(
"https://huggingface.co/ibm/biomed.omics.bl.sm.ma-ted-458m.moleculenet_bbbp"
)
def create_application():
def task_change(value):
visibility = [gr.update(visible=(task == value)) for task in all_tasks.keys()]
choices = [
model_name
for model_name, model in all_models.items()
if value in model.tasks
]
if choices:
return (
gr.update(choices=choices, value=choices[0], visible=True),
*visibility,
)
else:
return (gr.update(visible=False, value=None), *visibility)
def model_change(value):
return gr.update(
value=f'[<span style="font-size:4em;">🤗</span>to model](https://huggingface.co/{value})',
visible=value is not None,
)
with gr.Blocks(theme="Zarkel/IBM_Carbon_Theme") as application:
task_dropdown = gr.Dropdown(
choices=["Select task"] + list(all_tasks.keys()),
label="Mammal Task",
)
task_dropdown.interactive = True
with gr.Row():
model_name_dropdown = gr.Dropdown(
choices=[
model_name
for model_name, model in all_models.items()
if task_dropdown.value in model.tasks
],
interactive=True,
label="Matching Mammal models",
visible=False,
scale=10,
)
goto_card_button = gr.Markdown(
"Link to model card",
visible=False,
)
def echo(value):
print(value)
return value
# goto_card_button.click(
# fn=None,
# inputs=model_name_dropdown,
# js=f"(model_name_dropdown) => {{ window.open('https://huggingface.co/{model_name_dropdown}', '_blank') }}",
# )
model_name_dropdown.change(
model_change, inputs=[model_name_dropdown], outputs=[goto_card_button]
)
task_dropdown.change(
task_change,
inputs=[task_dropdown],
outputs=[model_name_dropdown]
+ [
all_tasks[task].demo(model_name_widgit=model_name_dropdown)
for task in all_tasks
],
)
return application
full_demo = None
def main():
global full_demo
full_demo = create_application()
full_demo.launch(show_error=True, share=False)
# full_demo.launch(show_error=True, share=True)
if __name__ == "__main__":
main()