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TestMyFirstSpace

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create app.py

b9a5094 about 3 years ago

421 Bytes

import streamlit as st
from transformers import pipeline

# Create a sentiment analysis pipeline
pipe = pipeline('sentiment-analysis')

# Streamlit UI code
st.title("Sentiment Analysis App")
text = st.text_area('Enter some text:', '')  # Provide an initial value for the text_area

if text:
    out = pipe(text)
    st.subheader("Sentiment Analysis Result:")
    st.json(out)  # Display sentiment analysis result as JSON

	import streamlit as st
	from transformers import pipeline

	# Create a sentiment analysis pipeline
	pipe = pipeline('sentiment-analysis')

	# Streamlit UI code
	st.title("Sentiment Analysis App")
	text = st.text_area('Enter some text:', '') # Provide an initial value for the text_area

	if text:
	out = pipe(text)
	st.subheader("Sentiment Analysis Result:")
	st.json(out) # Display sentiment analysis result as JSON