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demo-app

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Update app.py

d461195 verified over 1 year ago

363 Bytes

import streamlit as st
# from transformers import pipeline

# import os
# os.environ["TRANSFORMERS_CACHE"] = "/tmp/huggingface"

# pipe = pipeline("sentiment-analysis", device=-1)  # Forces CPU

# pipe = pipeline("sentiment-analysis")

text=st.text_area("enter something")

if text:
    # out=pipe(text)
    # st.json(out)
    st.write(f"You have entered {text}")

	import streamlit as st
	# from transformers import pipeline

	# import os
	# os.environ["TRANSFORMERS_CACHE"] = "/tmp/huggingface"

	# pipe = pipeline("sentiment-analysis", device=-1) # Forces CPU

	# pipe = pipeline("sentiment-analysis")

	text=st.text_area("enter something")

	if text:
	# out=pipe(text)
	# st.json(out)
	st.write(f"You have entered {text}")