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72e0dc2
embedding
/
app.py
geneweng
Update app.py
72e0dc2
about 2 years ago
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177 Bytes
import
streamlit
as
st
from
transformers
import
pipeline
pipe = pipeline(
'sentiment analysis'
)
text = st.text_area(
'enter some text!'
)
if
text:
out = pipe(text)
st.json(out)