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import gradio as gr | |
from transformers import pipeline | |
pipeline =pipeline("text-classification",model="ProsusAI/finbert",trust_remote_code=True) | |
def predict(input_img): | |
predictions = pipeline(input_img , threshold=0.5, #optional parameter defaults to 0 | |
return_scores = False #optional parameter defaults to False | |
) | |
return predictions | |
gradio_app = gr.Interface( | |
predict, | |
inputs=gr.Textbox(label="Write a text") , | |
outputs=gr.Text(), | |
title="sentiment analysis", | |
) | |
if __name__ == "__main__": | |
gradio_app.launch() |