"Numbers"

app.py

@@ -36,33 +36,20 @@ examples = [
     [72, 1, 3, 160, 114, 0, 0, 115, 0, 1.1, 2, 0, 7],
 ]
 
-app = gr.Interface(fn=heart_disease,  inputs=[
+app = gr.Interface(fn=heart_disease,   inputs=[
         gr.inputs.Number(label="Age"), 
-        gr.inputs.Radio(choices=[("Male", 1), ("Female", 0)], label="Sex"), 
-        gr.inputs.Radio(choices=[
-            ("Typical Angina", 0), 
-            ("Atypical Angina", 1), 
-            ("Non-Anginal Pain", 2), 
-            ("Asymptomatic", 3)
-        ], label="Chest Pain Type"), 
+        gr.inputs.Number(label="Sex (0 for Female, 1 for Male)"), 
+        gr.inputs.Number(label="Chest Pain Type (0 for Typical Angina, 1 for Atypical Angina, 2 for Non-Anginal Pain, 3 for Asymptomatic)"), 
         gr.inputs.Number(label="Resting Blood Pressure (mm Hg)"), 
         gr.inputs.Number(label="Serum Cholesterol Level (mg/dL)"), 
-        gr.inputs.Radio(choices=[("Fasting Blood Sugar > 120 mg/dL", 1), ("Fasting Blood Sugar <= 120 mg/dL", 0)], label="Fasting Blood Sugar Level"), 
-        gr.inputs.Radio(choices=[
-            ("Normal", 0), 
-            ("ST-T Wave Abnormality", 1), 
-            ("Probable or Definite Left Ventricular Hypertrophy", 2)
-        ], label="Resting Electrocardiographic Results"), 
+        gr.inputs.Number(label="Fasting Blood Sugar Level (0 for <= 120 mg/dL, 1 for > 120 mg/dL)"), 
+        gr.inputs.Number(label="Resting Electrocardiographic Results (0 for Normal, 1 for ST-T Wave Abnormality, 2 for Probable or Definite Left Ventricular Hypertrophy)"), 
         gr.inputs.Number(label="Maximum Heart Rate Achieved"), 
-        gr.inputs.Radio(choices=[("Exercise-Induced Angina", 1), ("No Exercise-Induced Angina", 0)], label="Exercise-Induced Angina"), 
+        gr.inputs.Number(label="Exercise-Induced Angina (0 for No, 1 for Yes)"), 
         gr.inputs.Number(label="ST Depression Induced by Exercise Relative to Rest"), 
-        gr.inputs.Radio(choices=[("Upsloping", 0), ("Flat", 1), ("Downsloping", 2)], label="Slope of the Peak Exercise ST Segment"), 
+        gr.inputs.Number(label="Slope of the Peak Exercise ST Segment (0 for Upsloping, 1 for Flat, 2 for Downsloping)"), 
         gr.inputs.Number(label="Number of Major Vessels (0-3) Colored by Fluoroscopy"), 
-        gr.inputs.Radio(choices=[
-            ("Normal", 3), 
-            ("Fixed Defect", 6), 
-            ("Reversible Defect", 7)
-        ], label="Thalassemia")
+        gr.inputs.Number(label="Thalassemia (3 for Normal, 6 for Fixed Defect, 7 for Reversible Defect)")
     ],  outputs=outputs, examples=examples,title="Heart Disease Prediction",description=''' 
     This model predicts the presence of heart disease based on various input parameters. Please enter the values for the following inputs: