Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+import joblib
+import sklearn
+lr_model = joblib.load("lr_model.sav")
+
+
+
+def predict_plan(parent_income, iq, gender, encourage):
+  """
+  Predicts the student's plan based on the input features.
+  """
+  input_data = [parent_income, iq, gender, encourage]
+  prediction = lr_model.predict([input_data])[0]
+  print(prediction)
+  return "Plan" if prediction == "True" else "No Plan"
+
+iface = gr.Interface(
+    fn=predict_plan,
+    inputs=[
+        gr.Number(label="Parent Income"),
+        gr.Number(label="IQ"),
+        gr.Checkbox(label="Gender (Male)"),
+        gr.Checkbox(label="Encourage")
+    ],
+    outputs="text",
+    title="Student Plan Prediction",
+    description="Enter student information to predict their plan."
+)
+
+iface.launch(debug = True)