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from transformers import pipeline | |
import gradio as gr | |
model = pipeline(model="seara/rubert-tiny2-ru-go-emotions") | |
def text_classification(data): | |
result = model(data)[0]['label'] | |
return result | |
demo = gr.Interface(fn=text_classification, inputs="textbox", outputs="textbox") | |
demo.launch(share=True) |