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15 lines
383 B
Python
15 lines
383 B
Python
import gradio as gr
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import nltk
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from nltk.sentiment.vader import SentimentIntensityAnalyzer
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nltk.download('vader_lexicon')
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sid = SentimentIntensityAnalyzer()
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def sentiment_analysis(text):
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scores = sid.polarity_scores(text)
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del scores["compound"]
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return scores
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io = gr.Interface(sentiment_analysis, "textbox", "label", explain_by="default")
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io.test_launch()
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io.launch() |