cleanup

Untitled-1.py

@@ -1,63 +0,0 @@
-
-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()
-

app copy.py

@@ -1,20 +0,0 @@
-from gradio_client import Client
-import gradio as gr
-
-DEBUG_MODE = True
-
-client = Client("Nuno-Tome/API_demo_server")
-
-def request(text):
-    #if DEBUG_MODE:
-    result = "Hello World"
-    #    gr.Markdown("client:" + str(client))
-    #    gr.Markdown(f"## Requesting prediction for: {text}")
-    result = client.echo(text, api_name="/echo")
-    #if DEBUG_MODE:
-    #    gr.Markdown(f"## Prediction result: {result}")
-    #    print(f"Prediction result: {result}")
-    return result
-
-
-io = gr.Interface(request, "textbox", "json")

app.py

@@ -33,11 +33,6 @@ def get_bmc_markdown():
     return full_text
 
    
-
-def update(name):
-    #return f"Welcome to Gradio, {name}!"
-    return {"name": name}
-
 def send_request(text):
     client = Client("Nuno-Tome/API_demo_server")
     result = client.predict(
@@ -50,7 +45,7 @@ with gr.Blocks() as demo:
     
     gr.Markdown(MESAGE_HEADER)
     gr.Markdown(get_bmc_markdown())
-    #gr.DuplicateButton()
+    gr.DuplicateButton()
     
     with gr.Row():
         with gr.Column():
@@ -61,7 +56,5 @@ with gr.Blocks() as demo:
             out = gr.JSON()  
     btn = gr.Button("Send request to server")
     btn.click(fn=send_request, inputs=inp, outputs=out)
-      
-    
-        
+ 
 demo.launch(share=True)