Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+import joblib
+
+# Load your saved model
+model = joblib.load("model.joblib")
+
+# Define the prediction function
+def predict(age, hours, education, capital_gain, capital_loss):
+    features = [[age, hours, education, capital_gain, capital_loss]]
+    prediction = model.predict(features)
+    return "Income >50K" if prediction == 1 else "Income <=50K"
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=predict,
+    inputs=[
+        gr.Slider(18, 90, step=1, label="Age"),
+        gr.Slider(1, 99, step=1, label="Hours Per Week"),
+        gr.Slider(1, 20, step=1, label="Education Level (Years)"),
+        gr.Slider(0, 100000, step=100, label="Capital Gain"),
+        gr.Slider(0, 5000, step=50, label="Capital Loss"),
+    ],
+    outputs="text",
+    title="Adult Income Predictor",
+)
+
+# Launch the app
+interface.launch()