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import gradio as gr | |
from transformers import pipeline | |
pipeline = pipeline(task="text-classification", model="Preetham04/sentiment-analysis") | |
def predict(input_text): | |
predictions = pipeline(input_text) | |
return input_text, {p["label"]: p["score"] for p in predictions} | |
gradio_app = gr.Interface( | |
predict, | |
inputs="textbox", | |
outputs="text", | |
title="Sentiment- good or bad?", | |
) | |
if __name__ == "__main__": | |
gradio_app.launch(share=True) |