Add application Better Interface

app.py

@@ -28,12 +28,57 @@ def heart_disease(age,	sex,	cp,	trestbps,	chol,	fbs,	restecg,	thalach,	exang,	ol
     return('The person has a heart disease')
 
 outputs = gr.outputs.Textbox()
+
+# Define some example inputs for the interface
 examples = [
     [59, 1, 1, 140, 221, 0, 1, 164, 1, 0.0, 2, 0, 2],
-    # Add more examples here if you want
+    [45, 0, 2, 125, 212, 1, 0, 168, 0, 1.6, 1, 0, 3],
+    [72, 1, 3, 160, 114, 0, 0, 115, 0, 1.1, 2, 0, 7],
 ]
 
-app = gr.Interface(fn=heart_disease, inputs=['number','number','number','number','number','number','number','number','number','number','number','number','number'], outputs=outputs, examples=examples,description="This is a heart_disease model")
+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="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="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="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="Number of Major Vessels (0-3) Colored by Fluoroscopy"), 
+        gr.inputs.Radio(choices=[
+            ("Normal", 3), 
+            ("Fixed Defect", 6), 
+            ("Reversible Defect", 7)
+        ], label="Thalassemia")
+    ],  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:
+
+##Description about the inputs. age: The age of the patient in years.
+sex: The patient's gender (1 = male, 0 = female).
+cp: Chest pain type (0 = typical angina, 1 = atypical angina, 2 = non-anginal pain, 3 = asymptomatic).
+trestbps: Resting blood pressure (in mm Hg) on admission to the hospital.
+chol: Serum cholesterol level (in mg/dL).
+fbs: Fasting blood sugar level (> 120 mg/dL = 1, <= 120 mg/dL = 0).
+restecg: Resting electrocardiographic results (0 = normal, 1 = having ST-T wave abnormality, 2 = showing probable or definite left ventricular hypertrophy).
+thalach: Maximum heart rate achieved.
+exang: Exercise-induced angina (1 = yes, 0 = no).
+oldpeak: ST depression induced by exercise relative to rest.
+slope: The slope of the peak exercise ST segment (0 = upsloping, 1 = flat, 2 = downsloping).
+ca: Number of major vessels (0-3) colored by fluoroscopy.
+thal: A blood disorder called thalassemia (3 = normal, 6 = fixed defect, 7 = reversible defect). ''')
 
 
 app.launch()