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import gradio as gr | |
import nltk | |
from nltk.sentiment.vader import SentimentIntensityAnalyzer | |
nltk.download("vader_lexicon") | |
sid = SentimentIntensityAnalyzer() | |
def sentiment_analysis(text): | |
scores = sid.polarity_scores(text) | |
del scores["compound"] | |
return scores | |
demo = gr.Interface( | |
fn=sentiment_analysis, | |
inputs=gr.Textbox(placeholder="Enter a positive or negative sentence here..."), | |
outputs="label", | |
interpretation="default", | |
examples=[["This is wonderful!"]]) | |
demo.launch() |