app.py

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)