mirror of
https://github.com/gradio-app/gradio.git
synced 2024-11-27 01:40:20 +08:00
9b42ba8f10
* changes * changes * revert changes * changes * add changeset * notebooks script * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
import gradio as gr
|
|
|
|
disease_values = [0.25, 0.5, 0.75]
|
|
|
|
def xray_model(diseases, img):
|
|
return [{disease: disease_values[idx] for idx,disease in enumerate(diseases)}]
|
|
|
|
def ct_model(diseases, img):
|
|
return [{disease: 0.1 for disease in diseases}]
|
|
|
|
with gr.Blocks(fill_width=True) as demo:
|
|
gr.Markdown(
|
|
"""
|
|
# Detect Disease From Scan
|
|
With this model you can lorem ipsum
|
|
- ipsum 1
|
|
- ipsum 2
|
|
"""
|
|
)
|
|
gr.DuplicateButton()
|
|
disease = gr.CheckboxGroup(
|
|
info="Select the diseases you want to scan for.",
|
|
choices=["Covid", "Malaria", "Lung Cancer"], label="Disease to Scan For"
|
|
)
|
|
slider = gr.Slider(0, 100)
|
|
|
|
with gr.Tab("X-ray") as x_tab:
|
|
with gr.Row():
|
|
xray_scan = gr.Image()
|
|
xray_results = gr.JSON()
|
|
xray_run = gr.Button("Run")
|
|
xray_run.click(
|
|
xray_model,
|
|
inputs=[disease, xray_scan],
|
|
outputs=xray_results,
|
|
api_name="xray_model"
|
|
)
|
|
|
|
with gr.Tab("CT Scan"):
|
|
with gr.Row():
|
|
ct_scan = gr.Image()
|
|
ct_results = gr.JSON()
|
|
ct_run = gr.Button("Run")
|
|
ct_run.click(
|
|
ct_model,
|
|
inputs=[disease, ct_scan],
|
|
outputs=ct_results,
|
|
api_name="ct_model"
|
|
)
|
|
|
|
upload_btn = gr.Button("Upload Results", variant="primary")
|
|
upload_btn.click(
|
|
lambda ct, xr: None,
|
|
inputs=[ct_results, xray_results],
|
|
outputs=[],
|
|
)
|
|
|
|
if __name__ == "__main__":
|
|
demo.launch()
|