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Update app.py
180885e
import streamlit as st
from transformers import pipeline
from textblob import TextBlob
pipe = pipeline('sentiment-analysis')
st.title("Hugging Face Sentiment Analysis Spaces Example")
st.subheader("What framework would you like to use for Sentiment Analysis")
#Picking what NLP task you want to do
option = st.selectbox('Framework',('Transformers', 'TextBlob')) #option is stored in this variable
#Textbox for text user is entering
st.subheader("Enter the text you'd like to analyze.")
text = st.text_input('Enter text') #text is stored in this variable
if option == 'Transformers':
out = pipe(text)
else:
out = TextBlob(text)
out = out.sentiment
st.write("Sentiment of Text: ")
st.write(out)