Update app.py

app.py

@@ -37,7 +37,7 @@ def main_func(age,sex,cp,trtbps,chol,fbs,restecg,thalachh,exng,oldpeak,slp,caa,t
     return {"High Risk": float(prob[0][1]), "Low Risk": 1-float(prob[0][1])}, local_plot
 
 # Create the UI
-title = "**Heart Attack Demo App** 🪐"
+title = "**Heart Attack Demo App** 🫀"
 description1 = """
 This app takes six inputs about employees' satisfaction with different aspects of their work (such as work-life balance, ...) and predicts whether the employee intends to stay with the employer or leave. There are two outputs from the app: 1- the predicted probability of stay or leave, 2- Shapley's force-plot which visualizes the extent to which each factor impacts the stay/ leave prediction.✨   
 """
@@ -53,23 +53,25 @@ with gr.Blocks(title=title) as demo:
     gr.Markdown("""---""")
     gr.Markdown(description2)
     gr.Markdown("""---""")
-    age = gr.Number(label="Age Score", value=40)
-    sex = gr.Dropdown(["Male", "Female"], label="Gender")
-    cp = gr.Slider(minimum=1, maximum=4, default=1, step=1, label="Chest Pain Type")
-    trtbps = gr.Slider(minimum=50, maximum=200, default=120, step=1, label="Resting Blood Pressure (in mm Hg)")
-    chol = gr.Slider(minimum=80, maximum=500, default=190, step=1, label="Cholesterol Level (mg/dL)")
-    fbs = gr.Slider(minimum=0, maximum=1, default=0, step=.1, label="(fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)")
-    restecg = gr.Slider(minimum=0, maximum=200, step=1, default=80, label="resting electrocardiographic results")
-    thalachh = gr.Slider(minimum=80, maximum=400, step=1, default=200, label="maximum heart rate achieved")
-    exng = gr.Slider(minimum=80, maximum=400, step=1, default=200, label="maximum heart rate achieved")
-    oldpeak = gr.Slider(minimum=0, maximum=10, step=.1, default=1, label="ST depression induced by exercise relative to rest")
-    slp = gr.Slider(minimum=0, maximum=2, step=.1, default=1, label="speech-language pathologist")
-    caa = gr.Slider(minimum=0, maximum=4, step=.1, default=2, label="cerebral amyloid angiopathy")
-    thall = gr.Slider(minimum=0, maximum=3, default=2, step=.1, label="thallium stress test")
-    
-    submit_btn = gr.Button("Process")
+    with gr.Row():
+        with gr.Column():
+            age = gr.Number(label="Age Score", value=40)
+            sex = gr.Dropdown(["Male", "Female"], label="Gender")
+            cp = gr.Slider(minimum=1, maximum=4, default=1, step=1, label="Chest Pain Type")
+            trtbps = gr.Slider(minimum=50, maximum=200, default=120, step=1, label="Resting Blood Pressure (in mm Hg)")
+            chol = gr.Slider(minimum=80, maximum=500, default=190, step=1, label="Cholesterol Level (mg/dL)")
+            fbs = gr.Slider(minimum=0, maximum=1, default=0, step=.1, label="(fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)")
+            restecg = gr.Slider(minimum=0, maximum=200, step=1, default=80, label="resting electrocardiographic results")
+        with gr.Column():
+            thalachh = gr.Slider(minimum=80, maximum=400, step=1, default=200, label="maximum heart rate achieved")
+            exng = gr.Slider(minimum=80, maximum=400, step=1, default=200, label="maximum heart rate achieved")
+            oldpeak = gr.Slider(minimum=0, maximum=10, step=.1, default=1, label="ST depression induced by exercise relative to rest")
+            slp = gr.Slider(minimum=0, maximum=2, step=.1, default=1, label="speech-language pathologist")
+            caa = gr.Slider(minimum=0, maximum=4, step=.1, default=2, label="cerebral amyloid angiopathy")
+            thall = gr.Slider(minimum=0, maximum=3, default=2, step=.1, label="thallium stress test")
+            submit_btn = gr.Button("Process")
 
-    with gr.Column(visible=True) as output_col:
+    with gr.Row(visible=True) as output_col:
         label = gr.Label(label = "Predicted Label")
         local_plot = gr.Plot(label = 'Shap:')