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import gradio as gr | |
from gradio_molecule3d import Molecule3D | |
import os | |
example = Molecule3D().example_inputs() | |
reps = [ | |
{ | |
"model": 0, | |
"chain": "", | |
"resname": "", | |
"style": "cartoon", | |
"color": "whiteCarbon", | |
"residue_range": "", | |
"around": 0, | |
"byres": False, | |
"visible": False, | |
}, | |
] | |
def predict(x): | |
print("predict function", x) | |
return x | |
#doesn't work | |
# demo = gr.Interface( | |
# predict, | |
# Molecule3D(label="Molecule3D", reps=reps), # interactive version of your component | |
# Molecule3D(), # static version of your component | |
# examples=[[example]], # uncomment this line to view the "example version" of your component | |
# ) | |
#works | |
with gr.Blocks() as demo: | |
inp = Molecule3D("demo/1pga.pdb",label="Molecule3D", reps=reps) | |
out = Molecule3D(label="Molecule3D", reps=reps) | |
btn = gr.Button("Predict") | |
btn.click(predict, inputs=inp, outputs=out) | |
demo.launch() | |
# blocks.launch() | |