Update app.py

app.py

@@ -40,41 +40,28 @@ def main_func(age, sex, cp, trtbps, chol, fbs, restecg, thalachh, exng, oldpeak,
     return {"Low Heart Attack Chance": float(prob[0][0]), "High Heart Attack Chance": 1-float(prob[0][0])}, local_plot
 
 # Create the UI
-title = "**Heart Attack Prediction Tool** 🏥🩺💊🩻"
+title = "🩺**Heart Attack Prediction Tool** 🏥"
 description1 = """
 This software retrieves data from individuals and anticipates their probability of experiencing a heart attack. However, it should not be utilized for medical diagnosis purposes.   
 """
 
 description2 = """
-To use the app, click on one of the examples, or adjust the values of the factors, and click on Analyze. 
+Please adjust the values of the factors, then it will analyze your probability of getting heart attack. 
+
+Age: Age of the patient
+Sex: Sex of the patient
+Chest Pain Type (cp): Type of chest pain experienced by the patient
+Resting Blood Pressure (trtbps): Blood pressure of the patient at rest, measured in millimeters of mercury (mm Hg)
+Cholesterol (chol): Cholesterol level of the patient, measured in milligrams per deciliter (mg/dl) and fetched via BMI sensor
+Fasting Blood Sugar (fbs): Fasting blood sugar level of the patient, measured in milligrams per deciliter (mg/dl) and indicating whether it is greater than 120 mg/dl
+Resting Electrocardiographic Results (rest_ecg): Results of the resting electrocardiogram test
+Maximum Heart Rate Achieved (thalachh): Maximum heart rate achieved by the patient
+Exercise Induced Angina (exng): Whether the patient experienced exercise-induced angina or not
+Short-Term Depression Induced by Exercise Relative to Rest (oldpeak): Amount of short-term depression in the ST segment induced by exercise relative to rest
+Slope of the Peak Exercise Short-Term Segment (slp): Slope of the peak exercise ST segment
+Number of Major Vessels (caa): Number of major vessels colored by fluoroscopy (0-3)
+Thalassemia (thall): Type of thalassemia the patient has, if any.
 
-Data Dictionary:
-
-Age : Age of the patient
-
-Sex : Sex of the patient
-
-cp : Chest Pain type 
-
-trtbps: Resting Blood Pressure (in mm Hg)
-
-chol : Cholestoral in mg/dl Fetched via BMI Sensor
-
-fbs : (fasting blood sugar > 120 mg/dl)
-
-rest_ecg : Resting Electrocardiographic Results
-
-thalachh : Maximum Heart Rate Achieved
-
-exng: Exercise Induced Angina 
-
-oldpeak : Short-Term Depression Induced by Exercise Relative to Rest
-
-slp : Slope of the Peak Exercise Short-Term Segment
-
-caa : Number of Major Vessels (0-3)
-
-thall : Thalassemia
 """ 
 
 with gr.Blocks(title=title) as demo:
@@ -87,12 +74,12 @@ with gr.Blocks(title=title) as demo:
     
     with gr.Row():
         with gr.Column():
-            age = gr.Slider(label="age score", minimum=0, maximum=90, value=40, step=1)
-            sex = gr.Dropdown(label="sex score", choices =["Female","Male"])
-            cp = gr.Radio(label="cp score", choices = ["typical angina", "atypical angina", "non-anginal pain", "asymptomatic"])
-            trtbps = gr.Slider(label="trtbps Score", minimum=90, maximum=200, value=90, step=1)
-            chol = gr.Slider(label="chol Score", minimum=120, maximum=570, value=120, step=1)
-            fbs = gr.Radio(label="fbs Score", choices = ["True", "False"])
+            age = gr.Slider(label="Age", minimum=0, maximum=90, value=40, step=1)
+            sex = gr.Dropdown(label="Sex", choices =["Female","Male"])
+            cp = gr.Radio(label="Chest Pain Type", choices = ["typical angina", "atypical angina", "non-anginal pain", "asymptomatic"])
+            trtbps = gr.Slider(label="Resting Blood Pressure (in mm Hg)", minimum=90, maximum=200, value=90, step=1)
+            chol = gr.Slider(label="Cholestoral in mg/dl", minimum=120, maximum=570, value=120, step=1)
+            fbs = gr.Radio(label="Fasting Blood Sugar", choices = ["True", "False"])
             restecg = gr.Dropdown(label="restecg Score", choices = ["Probable or Definite Left Ventricular Hypertrophy by Estes' Criteria", "Having ST - T Wave Abnormality","Normal Value"])
         with gr.Column():
             thalachh = gr.Slider(label="thalachh Score", minimum=70, maximum=210, value=70, step=1)