Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+import gc
+
+st.header("Sentiment Analysis")
+st.subheader("Input text. Submit. The machine will classify the text as positive, negative and neutral and display probabilities.")
+st.caption("Input text and press control + enter.")
+
+classifier = pipeline("zero-shot classification", model='facebook/bart-large-mnli')
+
+text = st.text_area("Input text and press control + enter.")
+candidate_labels = ['positive', 'negative', 'neutral']
+
+if text:
+  out = classifier(text, candidate_labels)
+  st.json(out)
+  del out
+  gc.collect()