Create README.md

README.md

@@ -0,0 +1,14 @@
+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()