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import streamlit as st | |
from tranformers import pipeline | |
pipe = pipeline(task="sentiment-analysis") | |
st.title("Toxic Tweets Analyzer") | |
text = st.text_area("Enter your tweet here, or submit to test the default tweets") | |
if text == "Enter your tweet here, or submit to test the default tweets": | |
data = [ | |
"PICKLE YE", | |
"I'm nice at ping pong" | |
"My eyes are now wide open and now realize I've been used to spread messages I don't believe in. I am distancing myself from politics and completely focusing on being creative !!!", | |
"There are so many lonely emojis", | |
] | |
st.json([pipe(d) for d in data]) | |
else: | |
out = pipe(text) | |
st.json(out) | |