Create app.py

app.py

@@ -0,0 +1,24 @@
+# Filename: loan_approval_app.py
+
+import gradio as gr
+from sklearn.ensemble import RandomForestClassifier
+import numpy as np
+
+# Dummy model
+model = RandomForestClassifier()
+X = np.array([[30000, 700, 50000], [20000, 600, 30000], [40000, 800, 100000]])
+y = np.array([1, 0, 1])
+model.fit(X, y)
+
+def approve(income, credit, loan_amount):
+    pred = model.predict([[income, credit, loan_amount]])[0]
+    return "Approved ✅" if pred == 1 else "Rejected ❌"
+
+gr.Interface(
+    fn=approve,
+    inputs=[gr.Number(label="Income"),
+            gr.Number(label="Credit Score"),
+            gr.Number(label="Loan Amount")],
+    outputs=gr.Textbox(label="Loan Status"),
+    title="💰 Loan Approval Prediction"
+).launch()