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() |