GaboDataScientist commited on
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ba02089
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1 Parent(s): 80ae9a9

Create app.py

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  1. app.py +18 -0
app.py ADDED
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+ #Libraries
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ #The Model
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+ sentiment= pipeline(task="text-classification", model="lxyuan/distilbert-base-multilingual-cased-sentiments-student",return_all_scores=True)
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+
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+ #The function
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+ def get_sentiment(input_text):
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+ return sentiment(input_text)
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+
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+ #The interface
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+ iface=gr.Interface(fn=get_sentiment,
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+ inputs="text",
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+ outputs=['text'],
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+ title='Sentiment Analysis',
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+ description="Get Sentiment Positive/Negative for the given input")
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+ iface.launch()