Update app.py

app.py

@@ -9,15 +9,15 @@ import numpy as np
 import gradio as gr
 
 
-set_input = gr.inputs.Dataframe(type="numpy", row_count=10, col_count=3, headers=['Sample Index', 'Predicted Prob', 'Label (Y)'], datatype=["number", "number", "number"])
-set_input2 = gr.inputs.Slider(0, 1, step = 0.1, default=0.4, label="Set Probability Threshold (Default = 0.5)")
+set_input = gr.Dataframe(type="numpy", row_count=10, col_count=3, headers=['Sample Index', 'Predicted Prob', 'Label (Y)'], datatype=["number", "number", "number"])
+set_input2 = gr.Slider(0, 1, step = 0.1, value=0.4, label="Set Probability Threshold (Default = 0.5)")
 
-#set_output = gr.inputs.Textbox(label ='test')
-set_output1 = gr.outputs.Dataframe(type="pandas", label = 'Predicted Labels',max_rows=10)
+#set_output = gr.Textbox(label ='test')
+set_output1 = gr.Dataframe(type="pandas", label = 'Predicted Labels',max_rows=10)
 
-set_output2 = gr.outputs.Image(label="Confusion Matrix")
-set_output3 = gr.outputs.Image(label="ROC curve")
-set_output4 = gr.outputs.Image(label="Threshold Tuning curve")
+set_output2 = gr.Image(label="Confusion Matrix")
+set_output3 = gr.Image(label="ROC curve")
+set_output4 = gr.Image(label="Threshold Tuning curve")
 
 def perf_measure(y_actual, y_hat):
     TP = 0
@@ -300,10 +300,10 @@ interface = gr.Interface(fn=visualize_ROC,
                               [0.5,get_example()],
                               [0.7,get_example()],
                           ],
-                         title="CSCI4750/5750: Demo for Receiver Operating Characteristic (ROC) curve", 
+                         title="ML Demo for Receiver Operating Characteristic (ROC) curve", 
                          description= "Click examples below for a quick demo",
                          theme = 'huggingface',
-                         layout = 'horizontal',
+                         #layout = 'horizontal',
                          live=True
                          )