Update app.py

app.py

@@ -37,9 +37,7 @@ x1_valid = pd.DataFrame(x1_valid['train'])
 print(x1_valid.columns)
 
 #Define feature names.
-f1_names = list(x1.columns)
-f1_names = [f1.replace('__', ' - ') for f1 in f1_names]
-f1_names = [f1.replace('_', ' ') for f1 in f1_names]
+f1_names = ['Age', 'Current or Former Smoker', 'History of Malignancy', 'Prior DVT or PE', 'Admission BMI', 'Admission NIHSS Score', 'Premorbid mRS Score','Occlusion Laterality', 'Hyperdense MCA', 'MT - Type of Thrombectomy', 'mTICI Score' ,'Hypertension', 'Intravenous Thrombolysis']
 
 #Prepare training data for the outcome 1.
 y1 = x1.pop('OUTCOME')
@@ -115,7 +113,7 @@ with gr.Blocks(title = "DMVO-mRS") as demo:
     <br/>
     <center><h2>NOT FOR CLINICAL USE</h2><center>    
     <br/>    
-    <center><h1>DMVO 90-Day mRS</h1></center>
+    <center><h1>DMVO 90-Day mRS Score</h1></center>
     <center><h2>Prediction Tool</h2></center>
     <br/>
     <center><h3>This web application should not be used to guide any clinical decisions.</h3><center>
@@ -126,7 +124,7 @@ with gr.Blocks(title = "DMVO-mRS") as demo:
 
     gr.Markdown(
         """
-        <center><h3>Model Performances</h3></center>
+        <center><h3>Model Performance</h3></center>
         <table style="margin-left: auto; margin-right: auto;">
         <tr>
             <th>Precision</th>
@@ -185,19 +183,19 @@ with gr.Blocks(title = "DMVO-mRS") as demo:
 
             Admission_Hemoglobin = gr.Slider(label="Admission Hemoglobin", minimum = 5, maximum = 25, step = 0.1, value = 15)
 
-            Admission_NIHSS = gr.Slider(label="Admission NIHSS", minimum = 0, maximum = 42, step = 1, value = 1)
+            Admission_NIHSS = gr.Slider(label="Admission NIHSS Score", minimum = 0, maximum = 42, step = 1, value = 1)
 
-            Premorbid_mRS = gr.Slider(label="Premorbid mRS", minimum = 0, maximum = 5, step = 1, value = 0)
+            Premorbid_mRS = gr.Slider(label="Premorbid mRS Score", minimum = 0, maximum = 5, step = 1, value = 0)
                                       
             Occlusion_Laterality = gr.Dropdown(label = "Occlusion_Laterality", choices = ['Left', 'Right'], type = 'index', value = 'Left')
 
             Hyperdense_MCA = gr.Dropdown(label = "Hyperdense MCA", choices = ['No', 'Yes'], type = 'index', value = 'No')
 
-            IVTPA = gr.Dropdown(label = "IV-TPA", choices = ['No', 'Yes'], type = 'index', value = 'No')
+            IVTPA = gr.Dropdown(label = "Intravenous Thrombolysis", choices = ['No', 'Yes'], type = 'index', value = 'No')
             
-            Type_of_Thrombectomy = gr.Dropdown(label = "Type of Thrombectomy", choices = ['MT not attempted', 'Direct aspiration', 'Stent retriever', 'Combined'], type = 'index', value = 'Stent retriever')
+            Type_of_Thrombectomy = gr.Dropdown(label = "MT - Type of Thrombectomy", choices = ['MT not attempted', 'Direct aspiration', 'Stent retriever', 'Combined'], type = 'index', value = 'Stent retriever')
             
-            mTICI = gr.Dropdown(label = 'mTICI', choices = ['MT not attempted' '0', '1', '2a', '2b', '2c', '3'], type = 'index', value = '3')
+            mTICI = gr.Dropdown(label = 'MT - mTICI Score', choices = ['MT not attempted' '0', '1', '2a', '2b', '2c', '3'], type = 'index', value = '3')
             
         with gr.Column():