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import gradio as gr
from transformers import pipeline
classifier = pipeline("text-classification", model="juliensimon/distilbert-amazon-shoe-reviews")
def predict(review):
prediction = classifier(review)
print(prediction)
stars = prediction[0]['label']
stars = (int)(stars.split('_')[1])+1
score = 100*prediction[0]['score']
return "{} {:.0f}%".format("\U00002B50"*stars, score)
iface = gr.Interface(fn=predict, inputs="text", outputs="text")
iface.launch() |