create app.py

app.py

@@ -0,0 +1,19 @@
+from setfit import SetFitModel
+import gradio as gr
+
+#load model
+
+model = SetFitModel.from_pretrained("almugabo/review_classifier")
+
+
+
+#prediction function
+def predict_review(abstract_text):
+    prediction = model.predict(abstract_text)
+    return 'Review' if prediction == 1 else 'Not Review'
+
+
+# gradio interface
+interface = gr.Interface(fn=predict_review, inputs="text", outputs="label")
+
+interface.launch()