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Python library for easily interacting with trained machine learning models
gradio_molecule3d
Python library for easily interacting with trained machine learning models
pip install gradio_molecule3d
import gradio as gr
from gradio_molecule3d import Molecule3D
example = Molecule3D().example_value()
reps = [
{
"model": 0,
"chain": "",
"resname": "",
"style": "stick",
"color": "whiteCarbon",
"residue_range": "",
"around": 0,
"byres": False,
"visible": False
}
]
def predict(x):
print("predict function", x)
print(x.name)
return x
with gr.Blocks() as demo:
gr.Markdown("# Molecule3D")
inp = Molecule3D(label="Molecule3D", reps=reps)
out = Molecule3D(label="Output", reps=reps)
btn = gr.Button("Predict")
gr.Markdown("""
You can configure the default rendering of the molecule by adding a list of representations
<pre>
reps = [
{
"model": 0,
"style": "cartoon",
"color": "whiteCarbon",
"residue_range": "",
"around": 0,
"byres": False,
},
{
"model": 0,
"chain": "A",
"resname": "HIS",
"style": "stick",
"color": "red"
}
]
</pre>
""")
btn.click(predict, inputs=inp, outputs=out)
if __name__ == "__main__":
demo.launch()
Molecule3D
name | type | default | description |
---|---|---|---|
value |
| None | Default file(s) to display, given as a str file path or URL, or a list of str file paths / URLs. If callable, the function will be called whenever the app loads to set the initial value of the component. |
reps |
| [] | None |
config |
| {
"backgroundColor": "white",
"orthographic": False,
"disableFog": False,
} | dictionary of config options |
confidenceLabel |
| "pLDDT" | label for confidence values stored in the bfactor column of a pdb file |
file_count |
| "single" | if single, allows user to upload one file. If "multiple", user uploads multiple files. If "directory", user uploads all files in selected directory. Return type will be list for each file in case of "multiple" or "directory". |
file_types |
| None | List of file extensions or types of files to be uploaded (e.g. ['image', '.json', '.mp4']). "file" allows any file to be uploaded, "image" allows only image files to be uploaded, "audio" allows only audio files to be uploaded, "video" allows only video files to be uploaded, "text" allows only text files to be uploaded. |
type |
| "filepath" | Type of value to be returned by component. "file" returns a temporary file object with the same base name as the uploaded file, whose full path can be retrieved by file_obj.name, "binary" returns an bytes object. |
label |
| None | The label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to. |
every |
| None | Continously calls `value` to recalculate it if `value` is a function (has no effect otherwise). Can provide a Timer whose tick resets `value`, or a float that provides the regular interval for the reset Timer. |
inputs |
| None | Components that are used as inputs to calculate `value` if `value` is a function (has no effect otherwise). `value` is recalculated any time the inputs change. |
show_label |
| None | if True, will display label. |
container |
| True | If True, will place the component in a container - providing some extra padding around the border. |
scale |
| None | relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True. |
min_width |
| 160 | minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first. |
height |
| None | The maximum height of the file component, specified in pixels if a number is passed, or in CSS units if a string is passed. If more files are uploaded than can fit in the height, a scrollbar will appear. |
interactive |
| None | if True, will allow users to upload a file; if False, can only be used to display files. If not provided, this is inferred based on whether the component is used as an input or output. |
visible |
| True | If False, component will be hidden. |
elem_id |
| None | An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles. |
elem_classes |
| None | An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles. |
render |
| True | If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later. |
key |
| None | if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved. |
showviewer |
| True | If True, will display the 3Dmol.js viewer. If False, will not display the 3Dmol.js viewer. |
name | description |
---|---|
change | Triggered when the value of the Molecule3D changes either because of user input (e.g. a user types in a textbox) OR because of a function update (e.g. an image receives a value from the output of an event trigger). See .input() for a listener that is only triggered by user input. |
select | Event listener for when the user selects or deselects the Molecule3D. Uses event data gradio.SelectData to carry value referring to the label of the Molecule3D, and selected to refer to state of the Molecule3D. See EventData documentation on how to use this event data |
clear | This listener is triggered when the user clears the Molecule3D using the clear button for the component. |
upload | This listener is triggered when the user uploads a file into the Molecule3D. |
delete | This listener is triggered when the user deletes and item from the Molecule3D. Uses event data gradio.DeletedFileData to carry value referring to the file that was deleted as an instance of FileData. See EventData documentation on how to use this event data |
The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).
The code snippet below is accurate in cases where the component is used as both an input and an output.
str
or bytes
object, or a list of str
or list of bytes
objects, depending on type
and file_count
.str
filepath or URL, or a list[str]
of filepaths/URLs.def predict(
value: bytes | str | list[bytes] | list[str] | None
) -> str | list[str] | None:
return value
FAQs
Python library for easily interacting with trained machine learning models
We found that gradio-molecule3d demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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