added prediction function

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 from model import SmokerModel
+import numpy as np
 
 MODEL = SmokerModel("ensemble_softvoting_model.joblib","min_max_scaler.joblib")
 
@@ -16,7 +17,22 @@ def predict(
     '''
     Predict the label for the data inputed
     '''
-    return
+    # Combine the input data into a NumPy array
+    input_array = np.array([
+        age, height, weight, 
+        waist, eye_L, eye_R, 
+        hear_L, hear_R, systolic, 
+        relaxation, fasting_blood_sugar, cholesterol, 
+        triglyceride, HDL, LDL, 
+        hemoglobin, urine_protein, 
+        serum_creatinine, AST, ALT, 
+        Gtp, dental_caries
+    ])
+
+    #predict
+    label = MODEL.predict(input_array)
+
+    return label
 
 def load_interface(): 
     '''
@@ -64,7 +80,7 @@ def load_interface():
             clear_btn = gr.Button("Clear")
 
         #set label txt box
-        #TODO: change to gr.Label()?
+        #TODO: change back to gr.Textbox()? 
         smoker_label = gr.Label(label="Predicted Label")
 
         #set event listeners