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import streamlit as st
from transformers import pipeline
pipe = pipeline(task="sentiment-analysis")
st.title("Toxic Tweets Analyzer")
image = "kanye_tweet.jpg"
st.image(image, use_column_width=True)
#form
with st.form("my_form"):
submitted = st.form_submit_button("Analyze")
tweet = st.text_area("enter tweet here:", value="i'm nice at ping pong")
if submitted:
out = pipe(tweet)
st.json(out)
# # print out nicely
# sentiment = out[0]['label']
# score = out[0]['score']
# print(f"{tweet} \nsentiment: {sentiment} \nscore: {score}")
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