app.py

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}")