import gradio as gr from nltk.sentiment.vader import SentimentIntensityAnalyzer
def sentiment_analysis(sentiment_text): score = SentimentIntensityAnalyzer().polarity_scores(sentiment_text) if score['neg']>score['pos']: return "Negative Feedback" elif score['neg']<score['pos']: return "Positive Feedback" else: return "Neutral Feedback"
iface = gr.Interface(fn = sentiment_analysis , inputs=['text'] , outputs=['text']) iface.launch()