mirror of
https://github.com/gradio-app/gradio.git
synced 2024-12-27 02:30:17 +08:00
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
import gradio as gr
|
|
|
|
import random
|
|
|
|
xray_model = lambda diseases, img: {disease: random.random() for disease in diseases}
|
|
ct_model = lambda diseases, img: {disease: 0.1 for disease in diseases}
|
|
|
|
xray_blocks = gr.Blocks()
|
|
|
|
with xray_blocks:
|
|
gr.Markdown(
|
|
"""
|
|
# Detect Disease From Scan
|
|
With this model you can lorem ipsum
|
|
- ipsum 1
|
|
- ipsum 2
|
|
"""
|
|
)
|
|
disease = gr.inputs.CheckboxGroup(
|
|
["Covid", "Malaria", "Lung Cancer"], label="Disease to Scan For"
|
|
)
|
|
|
|
with gr.Tab("X-ray"):
|
|
with gr.Row():
|
|
xray_scan = gr.inputs.Image()
|
|
xray_results = gr.outputs.JSON()
|
|
output_textbox = gr.outputs.Textbox()
|
|
input_textbox = gr.inputs.Textbox(default="Hello This Is a Input Textbox", component_type="input")
|
|
xray_run = gr.Button("Run")
|
|
xray_run.click(xray_model, inputs=[disease, xray_scan], outputs=xray_results)
|
|
xray_run.click(xray_model, inputs=[disease, xray_scan], outputs=output_textbox)
|
|
|
|
with gr.Tab("CT Scan"):
|
|
with gr.Row():
|
|
ct_scan = gr.inputs.Image()
|
|
ct_results = gr.outputs.JSON()
|
|
ct_run = gr.Button("Run")
|
|
ct_run.click(ct_model, inputs=[disease, ct_scan], outputs=ct_results)
|
|
|
|
overall_probability = gr.outputs.Textbox()
|
|
|
|
# TODO: remove later
|
|
print(xray_blocks.get_config_file())
|
|
xray_blocks.launch()
|