Update app.py

app.py

@@ -1,11 +1,13 @@
 import gradio as gr
 import joblib
 import numpy as np
+import sklearn
+
 
-# Load the RandomForest model
 model = joblib.load('random_forest_model.pkl')  # Update with the actual path
+
 # Define a function for classification
-def classify(features):
+def classify(*features):
     # Convert the input features to a 2D numpy array
     features_array = np.array([features])
     # Make a prediction
@@ -16,7 +18,7 @@ def classify(features):
 iface = gr.Interface(
     fn=classify,
     inputs=[
-        gr.Slider(minimum=0, maximum=100, default=50, label=f"Feature {i+1}") for i in range(15)
+        gr.Slider(minimum=0, maximum=100, value=50, label=f"Feature {i+1}") for i in range(15)
     ],
     outputs="text",
     title="Age Classification",
@@ -25,3 +27,4 @@ iface = gr.Interface(
 
 # Launch the interface
 iface.launch()
+