changed to a sentiment text classifier

app.py

@@ -6,13 +6,14 @@ st.header("Sentiment-demo-app")
 st.subheader("Please be patient and wait up to a minute until the demo app is loaded.")
 st.caption("This is a very simple demo application for a zero-shot classification pipeline to classify positive, neutral, or negative sentiment for a short text. Enter your text in the box below and press CTRl+ENTER to run the model.")
 
-classifier = pipeline("zero-shot-classification", model='tabularisai/multilingual-sentiment-analysis') #model='facebook/bart-large-mnli')
+classifier = pipeline("text-classification", model='tabularisai/multilingual-sentiment-analysis') #"zero-shot-classification" model='facebook/bart-large-mnli')
 
 text = st.text_area('Enter text here!')
-candidate_labels = ['Positive', 'Neutral', 'Negative']
+#candidate_labels = ['Positive', 'Neutral', 'Negative']
+result = pipe(texts)
 
 if text:
-  out = classifier(text, candidate_labels)
+  out = classifier(text, result)
   st.json(out)
   del out
   gc.collect()