import gradio as gr
from app import demo as app
import os
_docs = {'CofoldingInput': {'description': 'Creates a textarea for user to enter string input or display string output.\n', 'members': {'__init__': {'value': {'type': 'dict | None', 'default': '{"chains": [], "covMods": []}', 'description': 'list of items.'}, 'label': {'type': 'str | None', 'default': 'None', 'description': '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.'}, 'info': {'type': 'str | None', 'default': 'None', 'description': 'additional component description.'}, 'every': {'type': 'float | None', 'default': 'None', 'description': "If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute."}, 'show_label': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will display label.'}, 'container': {'type': 'bool', 'default': 'True', 'description': 'If True, will place the component in a container - providing some extra padding around the border.'}, 'scale': {'type': 'int | None', 'default': 'None', 'description': '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': {'type': 'int', 'default': '160', 'description': '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.'}, 'interactive': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will be rendered as an editable textbox; if False, editing will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.'}, 'visible': {'type': 'bool', 'default': 'True', 'description': 'If False, component will be hidden.'}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': 'An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.'}, 'autofocus': {'type': 'bool', 'default': 'False', 'description': 'If True, will focus on the textbox when the page loads. Use this carefully, as it can cause usability issues for sighted and non-sighted users.'}, 'autoscroll': {'type': 'bool', 'default': 'True', 'description': None}, 'elem_classes': {'type': 'list[str] | str | None', 'default': 'None', 'description': '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': {'type': 'bool', 'default': 'True', 'description': '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.'}}, 'postprocess': {'value': {'type': 'dict | None', 'description': 'Expects a {str} returned from function and sets textarea value to it.'}}, 'preprocess': {}}, 'events': {'change': {'type': None, 'default': None, 'description': 'Triggered when the value of the CofoldingInput 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.'}, 'input': {'type': None, 'default': None, 'description': 'This listener is triggered when the user changes the value of the CofoldingInput.'}, 'select': {'type': None, 'default': None, 'description': 'Event listener for when the user selects or deselects the CofoldingInput. Uses event data gradio.SelectData to carry `value` referring to the label of the CofoldingInput, and `selected` to refer to state of the CofoldingInput. See EventData documentation on how to use this event data'}, 'submit': {'type': None, 'default': None, 'description': 'This listener is triggered when the user presses the Enter key while the CofoldingInput is focused.'}, 'focus': {'type': None, 'default': None, 'description': 'This listener is triggered when the CofoldingInput is focused.'}, 'blur': {'type': None, 'default': None, 'description': 'This listener is triggered when the CofoldingInput is unfocused/blurred.'}}}, '__meta__': {'additional_interfaces': {}, 'user_fn_refs': {'CofoldingInput': []}}}
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_cofoldinginput`
Component to enter protein and DNA sequences + small molecules for cofolding
""", elem_classes=["md-custom"], header_links=True)
app.render()
gr.Markdown(
"""
## Installation
```bash
pip install gradio_cofoldinginput
```
## Usage
```python
import gradio as gr
from gradio_cofoldinginput import CofoldingInput
import json
def predict(input):
input = json.dumps(input)
return input
with gr.Blocks() as demo:
jobname = gr.Textbox(label="Job Name")
inp=CofoldingInput(label="Input")
preinput = {"chains": [
{
"class": "DNA",
"sequence": "ATGCGT",
"chain": "A",
"msa": True
},
{
"class": "protein",
"sequence": "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA",
"chain": "B",
"msa": True
},
{
"class": "ligand",
"name": "ZN",
"smiles": "",
"sdf": "",
"chain": "C"
},
{
"class": "ligand",
"smiles": "CCCCCCCCCCCCCCCCCCCC",
"name": "",
"sdf": "",
"chain": "D"
}
], "covMods":[]
}
# inp2=CofoldingInput(preinput, label="Input prefilled")
btn = gr.Button("Submit")
out = gr.HTML()
gr.Examples([["test",preinput]], inputs=[jobname,inp])
btn.click(predict, inputs=[inp], outputs=[out])
if __name__ == "__main__":
demo.launch()
```
""", elem_classes=["md-custom"], header_links=True)
gr.Markdown("""
## `CofoldingInput`
### Initialization
""", elem_classes=["md-custom"], header_links=True)
gr.ParamViewer(value=_docs["CofoldingInput"]["members"]["__init__"], linkify=[])
gr.Markdown("### Events")
gr.ParamViewer(value=_docs["CofoldingInput"]["events"], linkify=['Event'])
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 output:** Should return, expects a {str} returned from function and sets textarea value to it.
```python
def predict(
value: Unknown
) -> dict | None:
return value
```
""", elem_classes=["md-custom", "CofoldingInput-user-fn"], header_links=True)
demo.load(None, js=r"""function() {
const refs = {};
const user_fn_refs = {
CofoldingInput: [], };
requestAnimationFrame(() => {
Object.entries(user_fn_refs).forEach(([key, refs]) => {
if (refs.length > 0) {
const el = document.querySelector(`.${key}-user-fn`);
if (!el) return;
refs.forEach(ref => {
el.innerHTML = el.innerHTML.replace(
new RegExp("\\b"+ref+"\\b", "g"),
`${ref}`
);
})
}
})
Object.entries(refs).forEach(([key, refs]) => {
if (refs.length > 0) {
const el = document.querySelector(`.${key}`);
if (!el) return;
refs.forEach(ref => {
el.innerHTML = el.innerHTML.replace(
new RegExp("\\b"+ref+"\\b", "g"),
`${ref}`
);
})
}
})
})
}
""")
demo.launch()
