Create app.py

app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+import joblib
+import pandas as pd
+
+model = joblib.load("model.joblib")
+
+def predict(rm, lstat, ptratio):
+    df = pd.DataFrame([[rm, lstat, ptratio]], columns=["rm", "lstat", "ptratio"])
+    return model.predict(df)[0]
+
+gr.Interface(fn=predict,
+             inputs=["number", "number", "number"],
+             outputs="number").launch()