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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() |