Untitled-1.py

import gradio as gr
import time

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() 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()