Update app.py

app.py

@@ -1 +1,11 @@
-print('try')
+from transformers import pipeline
+import streamlit as st
+
+sentiment = pipeline(
+  "sentiment-analysis",
+    model="heBERT_sentiment_analysis",
+)
+st.title("Find sentiment")
+st.write("HebEMO is a tool to detect polarity and extract emotions from Hebrew user-generated content (UGC), which was trained on a unique Covid-19 related dataset that we collected and annotated. HebEMO yielded a high performance of weighted average F1-score = 0.96 for polarity classification. Emotion detection reached an F1-score of 0.78-0.97, with the exception of *surprise*, which the model failed to capture (F1 = 0.41). These results are better than the best-reported performance, even when compared to the English language.")
+sent = st.text_area("Text", default_value, height = 20)
+st.write (sentiment(sent))