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import gradio as gr | |
from transformers import pipeline | |
classifier = pipeline("sentiment-analysis") | |
def check_sentiment(phrase: str) -> str: | |
classification = classifier(phrase) | |
return classification[0]["label"] | |
def main(): | |
iface = gr.Interface(fn=check_sentiment, inputs="text", outputs="text") | |
iface.launch() | |
if __name__ == "__main__": | |
main() | |