| 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() |