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Browse files- Dockerfile +4 -0
- README.md +10 -3
- __pycache__/__init__.cpython-39.pyc +0 -0
- __pycache__/app.cpython-39.pyc +0 -0
- app.py +11 -12
- requirements.txt +1 -1
- src/backend/gradio_molecule3d/molecule3d.py +3 -0
- src/backend/gradio_molecule3d/molecule3d.pyi +31 -8
- src/backend/gradio_molecule3d/templates/component/index.js +0 -0
- src/demo/app.py +2 -1
- src/frontend/Index.svelte +3 -0
- src/frontend/shared/File.svelte +2 -1
- src/frontend/shared/FileUpload.svelte +2 -1
- src/pyproject.toml +2 -2
Dockerfile
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@@ -5,6 +5,10 @@ WORKDIR /code
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COPY --link --chown=1000 . .
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RUN pip install --no-cache-dir -r requirements.txt
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ENV PYTHONUNBUFFERED=1 GRADIO_ALLOW_FLAGGING=never GRADIO_NUM_PORTS=1 GRADIO_SERVER_NAME=0.0.0.0 GRADIO_SERVER_PORT=7860 SYSTEM=spaces
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COPY --link --chown=1000 . .
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RUN mkdir -p /tmp/cache/
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RUN chmod a+rwx -R /tmp/cache/
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ENV TRANSFORMERS_CACHE=/tmp/cache/
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RUN pip install --no-cache-dir -r requirements.txt
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ENV PYTHONUNBUFFERED=1 GRADIO_ALLOW_FLAGGING=never GRADIO_NUM_PORTS=1 GRADIO_SERVER_NAME=0.0.0.0 GRADIO_SERVER_PORT=7860 SYSTEM=spaces
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README.md
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@@ -1,10 +1,17 @@
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---
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-
tags: [gradio-custom-component, gradio-template-File]
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title: gradio_molecule3d V0.0.
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colorFrom:
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colorTo: indigo
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sdk: docker
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pinned: false
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license: apache-2.0
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---
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---
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tags: [gradio-custom-component,machine learning,reproducibility,visualization,gradio,gradio-template-File,protein]
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title: gradio_molecule3d V0.0.2
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colorFrom: purple
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colorTo: indigo
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sdk: docker
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pinned: false
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license: apache-2.0
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---
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# Name: gradio_molecule3d
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Description: Molecule3D custom component to visualize pdb or sdf files
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Install with: pip install gradio_molecule3d
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__pycache__/__init__.cpython-39.pyc
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Binary file (144 Bytes). View file
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__pycache__/app.cpython-39.pyc
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Binary files a/__pycache__/app.cpython-39.pyc and b/__pycache__/app.cpython-39.pyc differ
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app.py
CHANGED
@@ -26,21 +26,20 @@ def predict(x):
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return x
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#doesn't work
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-
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-
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-
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-
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-
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)
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#works
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with gr.Blocks() as demo:
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-
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-
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btn = gr.Button("Predict")
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btn.click(predict, inputs=inp, outputs=out)
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-
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demoInterface.launch()
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return x
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#doesn't work
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#demo = gr.Interface(
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# predict,
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# Molecule3D(label="Molecule3D", reps=reps), # interactive version of your component
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# Molecule3D(), # static version of your component
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# examples=[[example]], # uncomment this line to view the "example version" of your component
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# )
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#works
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with gr.Blocks() as demo:
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inp = Molecule3D("demo/1pga.pdb",label="Molecule3D", reps=reps)
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inp = Molecule3D("demo/1pga.pdb",label="Molecule3D", reps=reps, showviewer=False)
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out = Molecule3D(label="Molecule3D", reps=reps)
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btn = gr.Button("Predict")
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btn.click(predict, inputs=inp, outputs=out)
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demo.launch()
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# blocks.launch()
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requirements.txt
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@@ -1 +1 @@
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-
gradio_molecule3d-0.0.
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+
gradio_molecule3d-0.0.2-py3-none-any.whl
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src/backend/gradio_molecule3d/molecule3d.py
CHANGED
@@ -65,6 +65,7 @@ class Molecule3D(Component):
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elem_id: str | None = None,
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elem_classes: list[str] | str | None = None,
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render: bool = True,
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):
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"""
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Parameters:
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elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
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elem_classes: 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.
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render: 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.
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"""
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self.file_count = file_count
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if self.file_count == "multiple":
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self.reps = reps
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self.config = config
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self.confidenceLabel = confidenceLabel
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def _process_single_file(self, f: FileData) -> NamedString | bytes:
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elem_id: str | None = None,
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elem_classes: list[str] | str | None = None,
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render: bool = True,
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showviewer: bool = True
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):
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"""
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Parameters:
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elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
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elem_classes: 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.
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render: 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.
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showviewer: If True, will display the 3Dmol.js viewer. If False, will not display the 3Dmol.js viewer.
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"""
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self.file_count = file_count
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if self.file_count == "multiple":
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self.reps = reps
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self.config = config
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self.confidenceLabel = confidenceLabel
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self.showviewer = showviewer
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def _process_single_file(self, f: FileData) -> NamedString | bytes:
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src/backend/gradio_molecule3d/molecule3d.pyi
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@@ -66,6 +66,7 @@ class Molecule3D(Component):
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elem_id: str | None = None,
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elem_classes: list[str] | str | None = None,
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render: bool = True,
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):
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"""
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Parameters:
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elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
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elem_classes: 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.
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render: 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.
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"""
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self.file_count = file_count
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if self.file_count == "multiple":
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self.reps = reps
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self.config = config
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self.confidenceLabel = confidenceLabel
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def _process_single_file(self, f: FileData) -> NamedString | bytes:
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inputs: Component | Sequence[Component] | set[Component] | None = None,
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outputs: Component | Sequence[Component] | None = None,
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api_name: str | None | Literal[False] = None,
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-
status_tracker: None = None,
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scroll_to_output: bool = False,
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show_progress: Literal["full", "minimal", "hidden"] = "full",
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queue: bool | None = None,
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cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
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every: float | None = None,
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trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
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js: str | None = None,
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"""
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Parameters:
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fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
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every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
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trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
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js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
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"""
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...
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inputs: Component | Sequence[Component] | set[Component] | None = None,
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outputs: Component | Sequence[Component] | None = None,
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api_name: str | None | Literal[False] = None,
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-
status_tracker: None = None,
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scroll_to_output: bool = False,
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show_progress: Literal["full", "minimal", "hidden"] = "full",
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queue: bool | None = None,
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cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
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every: float | None = None,
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trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
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js: str | None = None,
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"""
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Parameters:
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fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
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every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
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trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
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js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
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"""
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...
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inputs: Component | Sequence[Component] | set[Component] | None = None,
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outputs: Component | Sequence[Component] | None = None,
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api_name: str | None | Literal[False] = None,
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-
status_tracker: None = None,
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scroll_to_output: bool = False,
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show_progress: Literal["full", "minimal", "hidden"] = "full",
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queue: bool | None = None,
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cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
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every: float | None = None,
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trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
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js: str | None = None,
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"""
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Parameters:
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fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
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every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
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trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
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js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
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"""
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...
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inputs: Component | Sequence[Component] | set[Component] | None = None,
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outputs: Component | Sequence[Component] | None = None,
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api_name: str | None | Literal[False] = None,
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-
status_tracker: None = None,
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scroll_to_output: bool = False,
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show_progress: Literal["full", "minimal", "hidden"] = "full",
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queue: bool | None = None,
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cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
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every: float | None = None,
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trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
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js: str | None = None,
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"""
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Parameters:
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fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
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every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
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trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
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js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
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"""
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...
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elem_id: str | None = None,
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elem_classes: list[str] | str | None = None,
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render: bool = True,
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+
showviewer: bool = True
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):
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"""
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Parameters:
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elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
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elem_classes: 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.
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render: 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.
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+
showviewer: If True, will display the 3Dmol.js viewer. If False, will not display the 3Dmol.js viewer.
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"""
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self.file_count = file_count
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if self.file_count == "multiple":
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self.reps = reps
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self.config = config
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self.confidenceLabel = confidenceLabel
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+
self.showviewer = showviewer
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def _process_single_file(self, f: FileData) -> NamedString | bytes:
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inputs: Component | Sequence[Component] | set[Component] | None = None,
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outputs: Component | Sequence[Component] | None = None,
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api_name: str | None | Literal[False] = None,
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scroll_to_output: bool = False,
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show_progress: Literal["full", "minimal", "hidden"] = "full",
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queue: bool | None = None,
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cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
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every: float | None = None,
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trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
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+
js: str | None = None,
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+
concurrency_limit: int | None | Literal["default"] = "default",
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concurrency_id: str | None = None,
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show_api: bool = True) -> Dependency:
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"""
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Parameters:
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fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
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every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
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trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
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js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
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+
concurrency_limit: If set, this is the maximum number of this event that can be running simultaneously. Can be set to None to mean no concurrency_limit (any number of this event can be running simultaneously). Set to "default" to use the default concurrency limit (defined by the `default_concurrency_limit` parameter in `Blocks.queue()`, which itself is 1 by default).
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+
concurrency_id: If set, this is the id of the concurrency group. Events with the same concurrency_id will be limited by the lowest set concurrency_limit.
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+
show_api: whether to show this event in the "view API" page of the Gradio app, or in the ".view_api()" method of the Gradio clients. Unlike setting api_name to False, setting show_api to False will still allow downstream apps to use this event. If fn is None, show_api will automatically be set to False.
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"""
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...
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inputs: Component | Sequence[Component] | set[Component] | None = None,
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outputs: Component | Sequence[Component] | None = None,
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api_name: str | None | Literal[False] = None,
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scroll_to_output: bool = False,
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show_progress: Literal["full", "minimal", "hidden"] = "full",
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queue: bool | None = None,
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cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
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every: float | None = None,
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trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
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+
js: str | None = None,
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+
concurrency_limit: int | None | Literal["default"] = "default",
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+
concurrency_id: str | None = None,
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+
show_api: bool = True) -> Dependency:
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"""
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Parameters:
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fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
|
|
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every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
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288 |
trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
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js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
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+
concurrency_limit: If set, this is the maximum number of this event that can be running simultaneously. Can be set to None to mean no concurrency_limit (any number of this event can be running simultaneously). Set to "default" to use the default concurrency limit (defined by the `default_concurrency_limit` parameter in `Blocks.queue()`, which itself is 1 by default).
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+
concurrency_id: If set, this is the id of the concurrency group. Events with the same concurrency_id will be limited by the lowest set concurrency_limit.
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292 |
+
show_api: whether to show this event in the "view API" page of the Gradio app, or in the ".view_api()" method of the Gradio clients. Unlike setting api_name to False, setting show_api to False will still allow downstream apps to use this event. If fn is None, show_api will automatically be set to False.
|
293 |
"""
|
294 |
...
|
295 |
|
|
|
298 |
inputs: Component | Sequence[Component] | set[Component] | None = None,
|
299 |
outputs: Component | Sequence[Component] | None = None,
|
300 |
api_name: str | None | Literal[False] = None,
|
|
|
301 |
scroll_to_output: bool = False,
|
302 |
show_progress: Literal["full", "minimal", "hidden"] = "full",
|
303 |
queue: bool | None = None,
|
|
|
308 |
cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
|
309 |
every: float | None = None,
|
310 |
trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
|
311 |
+
js: str | None = None,
|
312 |
+
concurrency_limit: int | None | Literal["default"] = "default",
|
313 |
+
concurrency_id: str | None = None,
|
314 |
+
show_api: bool = True) -> Dependency:
|
315 |
"""
|
316 |
Parameters:
|
317 |
fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
|
|
|
329 |
every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
|
330 |
trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
|
331 |
js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
|
332 |
+
concurrency_limit: If set, this is the maximum number of this event that can be running simultaneously. Can be set to None to mean no concurrency_limit (any number of this event can be running simultaneously). Set to "default" to use the default concurrency limit (defined by the `default_concurrency_limit` parameter in `Blocks.queue()`, which itself is 1 by default).
|
333 |
+
concurrency_id: If set, this is the id of the concurrency group. Events with the same concurrency_id will be limited by the lowest set concurrency_limit.
|
334 |
+
show_api: whether to show this event in the "view API" page of the Gradio app, or in the ".view_api()" method of the Gradio clients. Unlike setting api_name to False, setting show_api to False will still allow downstream apps to use this event. If fn is None, show_api will automatically be set to False.
|
335 |
"""
|
336 |
...
|
337 |
|
|
|
340 |
inputs: Component | Sequence[Component] | set[Component] | None = None,
|
341 |
outputs: Component | Sequence[Component] | None = None,
|
342 |
api_name: str | None | Literal[False] = None,
|
|
|
343 |
scroll_to_output: bool = False,
|
344 |
show_progress: Literal["full", "minimal", "hidden"] = "full",
|
345 |
queue: bool | None = None,
|
|
|
350 |
cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
|
351 |
every: float | None = None,
|
352 |
trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
|
353 |
+
js: str | None = None,
|
354 |
+
concurrency_limit: int | None | Literal["default"] = "default",
|
355 |
+
concurrency_id: str | None = None,
|
356 |
+
show_api: bool = True) -> Dependency:
|
357 |
"""
|
358 |
Parameters:
|
359 |
fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
|
|
|
371 |
every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
|
372 |
trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
|
373 |
js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
|
374 |
+
concurrency_limit: If set, this is the maximum number of this event that can be running simultaneously. Can be set to None to mean no concurrency_limit (any number of this event can be running simultaneously). Set to "default" to use the default concurrency limit (defined by the `default_concurrency_limit` parameter in `Blocks.queue()`, which itself is 1 by default).
|
375 |
+
concurrency_id: If set, this is the id of the concurrency group. Events with the same concurrency_id will be limited by the lowest set concurrency_limit.
|
376 |
+
show_api: whether to show this event in the "view API" page of the Gradio app, or in the ".view_api()" method of the Gradio clients. Unlike setting api_name to False, setting show_api to False will still allow downstream apps to use this event. If fn is None, show_api will automatically be set to False.
|
377 |
"""
|
378 |
...
|
src/backend/gradio_molecule3d/templates/component/index.js
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
src/demo/app.py
CHANGED
@@ -26,7 +26,7 @@ def predict(x):
|
|
26 |
return x
|
27 |
|
28 |
#doesn't work
|
29 |
-
#
|
30 |
# predict,
|
31 |
# Molecule3D(label="Molecule3D", reps=reps), # interactive version of your component
|
32 |
# Molecule3D(), # static version of your component
|
@@ -36,6 +36,7 @@ def predict(x):
|
|
36 |
#works
|
37 |
with gr.Blocks() as demo:
|
38 |
inp = Molecule3D("demo/1pga.pdb",label="Molecule3D", reps=reps)
|
|
|
39 |
out = Molecule3D(label="Molecule3D", reps=reps)
|
40 |
btn = gr.Button("Predict")
|
41 |
btn.click(predict, inputs=inp, outputs=out)
|
|
|
26 |
return x
|
27 |
|
28 |
#doesn't work
|
29 |
+
#demo = gr.Interface(
|
30 |
# predict,
|
31 |
# Molecule3D(label="Molecule3D", reps=reps), # interactive version of your component
|
32 |
# Molecule3D(), # static version of your component
|
|
|
36 |
#works
|
37 |
with gr.Blocks() as demo:
|
38 |
inp = Molecule3D("demo/1pga.pdb",label="Molecule3D", reps=reps)
|
39 |
+
inp = Molecule3D("demo/1pga.pdb",label="Molecule3D", reps=reps, showviewer=False)
|
40 |
out = Molecule3D(label="Molecule3D", reps=reps)
|
41 |
btn = gr.Button("Predict")
|
42 |
btn.click(predict, inputs=inp, outputs=out)
|
src/frontend/Index.svelte
CHANGED
@@ -33,6 +33,7 @@
|
|
33 |
export let reps: any = [];
|
34 |
export let config: any = {};
|
35 |
export let confidenceLabel: string = "";
|
|
|
36 |
|
37 |
export let proxy_url: null | string;
|
38 |
export let _selectable = false;
|
@@ -242,6 +243,7 @@
|
|
242 |
{moldata}
|
243 |
{errors}
|
244 |
i18n={gradio.i18n}
|
|
|
245 |
/>
|
246 |
{:else}
|
247 |
<FileUpload
|
@@ -257,6 +259,7 @@
|
|
257 |
{config}
|
258 |
{confidenceLabel}
|
259 |
{moldata}
|
|
|
260 |
on:change={({ detail }) => {
|
261 |
errors = [];
|
262 |
value = detail;
|
|
|
33 |
export let reps: any = [];
|
34 |
export let config: any = {};
|
35 |
export let confidenceLabel: string = "";
|
36 |
+
export let showviewer: boolean = true;
|
37 |
|
38 |
export let proxy_url: null | string;
|
39 |
export let _selectable = false;
|
|
|
243 |
{moldata}
|
244 |
{errors}
|
245 |
i18n={gradio.i18n}
|
246 |
+
molviewer={showviewer}
|
247 |
/>
|
248 |
{:else}
|
249 |
<FileUpload
|
|
|
259 |
{config}
|
260 |
{confidenceLabel}
|
261 |
{moldata}
|
262 |
+
molviewer={showviewer}
|
263 |
on:change={({ detail }) => {
|
264 |
errors = [];
|
265 |
value = detail;
|
src/frontend/shared/File.svelte
CHANGED
@@ -18,6 +18,7 @@
|
|
18 |
export let confidenceLabel = "";
|
19 |
export let representations = [];
|
20 |
export let moldata = null;
|
|
|
21 |
export let errors = [];
|
22 |
</script>
|
23 |
|
@@ -32,7 +33,7 @@
|
|
32 |
<FilePreview {i18n} {selectable} on:select {value} {height} />
|
33 |
|
34 |
<!-- {JSON.stringify(moldata)} -->
|
35 |
-
{#if moldata != null}
|
36 |
<MolecularViewer {moldata} {config} {confidenceLabel} {representations} />
|
37 |
{/if}
|
38 |
{:else}
|
|
|
18 |
export let confidenceLabel = "";
|
19 |
export let representations = [];
|
20 |
export let moldata = null;
|
21 |
+
export let molviewer = false;
|
22 |
export let errors = [];
|
23 |
</script>
|
24 |
|
|
|
33 |
<FilePreview {i18n} {selectable} on:select {value} {height} />
|
34 |
|
35 |
<!-- {JSON.stringify(moldata)} -->
|
36 |
+
{#if moldata != null && molviewer}
|
37 |
<MolecularViewer {moldata} {config} {confidenceLabel} {representations} />
|
38 |
{/if}
|
39 |
{:else}
|
src/frontend/shared/FileUpload.svelte
CHANGED
@@ -25,6 +25,7 @@
|
|
25 |
export let confidenceLabel = "";
|
26 |
export let representations = [];
|
27 |
export let moldata = null;
|
|
|
28 |
|
29 |
async function handle_upload({
|
30 |
detail,
|
@@ -78,7 +79,7 @@
|
|
78 |
<ModifyUpload {i18n} on:clear={handle_clear} absolute />
|
79 |
<FilePreview {i18n} on:select {selectable} {value} {height} />
|
80 |
|
81 |
-
{#if moldata != null}
|
82 |
<MolecularViewer {moldata} {config} {confidenceLabel} {representations} />
|
83 |
{/if}
|
84 |
{:else}
|
|
|
25 |
export let confidenceLabel = "";
|
26 |
export let representations = [];
|
27 |
export let moldata = null;
|
28 |
+
export let molviewer = false;
|
29 |
|
30 |
async function handle_upload({
|
31 |
detail,
|
|
|
79 |
<ModifyUpload {i18n} on:clear={handle_clear} absolute />
|
80 |
<FilePreview {i18n} on:select {selectable} {value} {height} />
|
81 |
|
82 |
+
{#if moldata != null && molviewer}
|
83 |
<MolecularViewer {moldata} {config} {confidenceLabel} {representations} />
|
84 |
{/if}
|
85 |
{:else}
|
src/pyproject.toml
CHANGED
@@ -8,7 +8,7 @@ build-backend = "hatchling.build"
|
|
8 |
|
9 |
[project]
|
10 |
name = "gradio_molecule3d"
|
11 |
-
version = "0.0.
|
12 |
description = "Molecule3D custom component to visualize pdb or sdf files"
|
13 |
readme = "README.md"
|
14 |
license = "MIT"
|
@@ -44,7 +44,7 @@ classifiers = [
|
|
44 |
dev = ["build", "twine"]
|
45 |
|
46 |
[tool.hatch.build]
|
47 |
-
artifacts = ["/backend/gradio_molecule3d/templates", "*.pyi", "backend/gradio_molecule3d/templates"]
|
48 |
|
49 |
[tool.hatch.build.targets.wheel]
|
50 |
packages = ["/backend/gradio_molecule3d"]
|
|
|
8 |
|
9 |
[project]
|
10 |
name = "gradio_molecule3d"
|
11 |
+
version = "0.0.2"
|
12 |
description = "Molecule3D custom component to visualize pdb or sdf files"
|
13 |
readme = "README.md"
|
14 |
license = "MIT"
|
|
|
44 |
dev = ["build", "twine"]
|
45 |
|
46 |
[tool.hatch.build]
|
47 |
+
artifacts = ["/backend/gradio_molecule3d/templates", "*.pyi", "backend/gradio_molecule3d/templates", "backend/gradio_molecule3d/templates", "backend/gradio_molecule3d/templates"]
|
48 |
|
49 |
[tool.hatch.build.targets.wheel]
|
50 |
packages = ["/backend/gradio_molecule3d"]
|