Create app.py

app.py

@@ -0,0 +1,16 @@
+def deploy_app(model):
+    """Deploy the model using Gradio."""
+    import gradio as gr
+
+    def predict(data_file):
+        data = pd.read_csv(data_file)
+        predictions = model.predict(data.drop(columns=['date']))
+        return pd.DataFrame({'Predicted Price': predictions})
+
+    interface = gr.Interface(
+        fn=predict,
+        inputs=gr.File(label="Upload CSV File"),
+        outputs="dataframe",
+        title="Electricity Price Prediction"
+    )
+    interface.launch()