classifier / app.py
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Create app.py
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import nltk
from nltk.sentiment.vader import SentimentIntensityAnalyzer
import gradio as gr
nltk.download("vader_lexicon")
sid = SentimentIntensityAnalyzer()
def sentiment_analysis(text):
scores = sid.polarity_scores(text)
del scores["compound"]
return scores
iface = gr.Interface(sentiment_analysis, "textbox", "label", interpretation="default")
iface.test_launch()
if __name__ == "__main__":
iface.launch()