File size: 5,411 Bytes
227ab66 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 |
import gradio as gr
from app import demo as app
import os
_docs = {'NiiVueViewer': {'description': 'WebGL NIfTI viewer using NiiVue.', 'members': {'__init__': {'value': {'type': 'NiiVueViewerData | dict[str, typing.Any] | None', 'default': 'None', 'description': None}, 'label': {'type': 'str | None', 'default': 'None', 'description': None}, 'height': {'type': 'int', 'default': '500', 'description': None}, 'show_label': {'type': 'bool', 'default': 'True', 'description': None}, 'container': {'type': 'bool', 'default': 'True', 'description': None}, 'scale': {'type': 'int | None', 'default': 'None', 'description': None}, 'min_width': {'type': 'int', 'default': '160', 'description': None}, 'visible': {'type': 'bool', 'default': 'True', 'description': None}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': None}, 'elem_classes': {'type': 'list[str] | str | None', 'default': 'None', 'description': None}, 'render': {'type': 'bool', 'default': 'True', 'description': None}, 'key': {'type': 'int | str | tuple[int | str, Ellipsis] | None', 'default': 'None', 'description': None}}, 'postprocess': {'value': {'type': 'dict[str, typing.Any] | None', 'description': "The output data received by the component from the user's function in the backend."}}, 'preprocess': {'return': {'type': 'dict[str, typing.Any] | None', 'description': "The preprocessed input data sent to the user's function in the backend."}, 'value': None}}, 'events': {}}, '__meta__': {'additional_interfaces': {'NiiVueViewerData': {'source': 'class NiiVueViewerData(GradioModel):\n background_url: str | None = None\n overlay_url: str | None = None'}}, 'user_fn_refs': {'NiiVueViewer': []}}}
abs_path = os.path.join(os.path.dirname(__file__), "css.css")
with gr.Blocks(
css=abs_path,
theme=gr.themes.Default(
font_mono=[
gr.themes.GoogleFont("Inconsolata"),
"monospace",
],
),
) as demo:
gr.Markdown(
"""
# `gradio_niivueviewer`
<div style="display: flex; gap: 7px;">
<img alt="Static Badge" src="https://img.shields.io/badge/version%20-%200.0.1%20-%20orange">
</div>
A Gradio custom component for 3D medical imaging visualization using NiiVue (WebGL).
""", elem_classes=["md-custom"], header_links=True)
app.render()
gr.Markdown(
"""
## Installation
```bash
pip install gradio_niivueviewer
```
## Usage
```python
import gradio as gr
from gradio_niivueviewer import NiiVueViewer
example = NiiVueViewer().example_value()
demo = gr.Interface(
lambda x: x,
NiiVueViewer(), # interactive version of your component
NiiVueViewer(), # static version of your component
# examples=[[example]], # uncomment this line to view the "example version" of your component
)
if __name__ == "__main__":
demo.launch()
```
""", elem_classes=["md-custom"], header_links=True)
gr.Markdown("""
## `NiiVueViewer`
### Initialization
""", elem_classes=["md-custom"], header_links=True)
gr.ParamViewer(value=_docs["NiiVueViewer"]["members"]["__init__"], linkify=['NiiVueViewerData'])
gr.Markdown("""
### User function
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).
- When used as an Input, the component only impacts the input signature of the user function.
- When used as an output, the component only impacts the return signature of the user function.
The code snippet below is accurate in cases where the component is used as both an input and an output.
- **As input:** Is passed, the preprocessed input data sent to the user's function in the backend.
- **As output:** Should return, the output data received by the component from the user's function in the backend.
```python
def predict(
value: dict[str, typing.Any] | None
) -> dict[str, typing.Any] | None:
return value
```
""", elem_classes=["md-custom", "NiiVueViewer-user-fn"], header_links=True)
code_NiiVueViewerData = gr.Markdown("""
## `NiiVueViewerData`
```python
class NiiVueViewerData(GradioModel):
background_url: str | None = None
overlay_url: str | None = None
```""", elem_classes=["md-custom", "NiiVueViewerData"], header_links=True)
demo.load(None, js=r"""function() {
const refs = {
NiiVueViewerData: [], };
const user_fn_refs = {
NiiVueViewer: [], };
requestAnimationFrame(() => {
Object.entries(user_fn_refs).forEach(([key, refs]) => {
if (refs.length > 0) {
const el = document.querySelector(`.${key}-user-fn`);
if (!el) return;
refs.forEach(ref => {
el.innerHTML = el.innerHTML.replace(
new RegExp("\\b"+ref+"\\b", "g"),
`<a href="#h-${ref.toLowerCase()}">${ref}</a>`
);
})
}
})
Object.entries(refs).forEach(([key, refs]) => {
if (refs.length > 0) {
const el = document.querySelector(`.${key}`);
if (!el) return;
refs.forEach(ref => {
el.innerHTML = el.innerHTML.replace(
new RegExp("\\b"+ref+"\\b", "g"),
`<a href="#h-${ref.toLowerCase()}">${ref}</a>`
);
})
}
})
})
}
""")
demo.launch()
|