Update app.py

app.py

@@ -34,11 +34,11 @@ def main_func(age, sex, cp, trtbps, chol, fbs, restecg, thalachh,exng,oldpeak,sl
     return {"Low Chance": float(prob[0][0]), "High Chance": 1-float(prob[0][0])}, local_plot
 
 # Create the UI
-title = "**Heart Attack Predictor & Interpreter** 🫀"
+title = "**Heart Attack Predictor & Interpreter** 🤓🫀"
 description1 = """This app takes info from subjects and predicts their heart attack likelihood. Do not use for medical diagnosis."""
 
 description2 = """
-To use the app, click on one of the examples, or adjust the values of the factors, and click on Analyze. 🤞
+To use the app, you can either click on one of the examples or adjust the values of the factors, and click on Analyze. 🤞
 """ 
 
 with gr.Blocks(title=title) as demo:
@@ -67,9 +67,9 @@ with gr.Blocks(title=title) as demo:
             
         with gr.Column():
             thalachh = gr.Number(label="What is your maximum heart rate?", value=100)
-            exng = gr.Dropdown(label="exercise-induced angina", choices = ["yes","no"], type = "index", value = "1")
-            oldpeak = gr.Slider(label="ST depression induced by exercise relative to rest", minimum=0, maximum=10, value=4, step=.1)
-            slp = gr.Dropdown(label="Slope of the peak exercise ST segment", choices = ["upsloping","flat","downsloping"], type = "index", value = "1")
+            exng = gr.Dropdown(label="exercise-induced angina", choices = ["yes","no"], type = "index", value = "yes")
+            oldpeak = gr.Slider(label="ST depression induced by exercise relative to rest", minimum=0, maximum=10, value=0, step=1)
+            slp = gr.Dropdown(label="Slope of the peak exercise ST segment", choices = ["upsloping","flat","downsloping"], type = "index", value = "flat")
             caa = gr.Dropdown(label="Degree of coronary artery anomaly", choices = ["0","1","2","3","4"], type = "index", value = "1")