app.py

import streamlit as st
from transformers import pipeline
from pysentimiento import create_analyzer

hate_speech_analyzer = create_analyzer(task="hate_speech", lang="es")

pipe = pipeline(task="sentiment-analysis")
st.title("Toxic Tweets Analyzer")
image = "kanye_tweet.jpg"
st.image(image, use_column_width=True)

# create a dropdown to select the model
model = st.selectbox("Select model", ["sentiment-analysis transformer", "finiteautomata/bertweet-base-sentiment-analysis"])

#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 = None
        if model == "sentiment-analysis transformer":
            out = pipe(tweet)
        else:
            out = hate_speech_analyzer.predict(tweet)
            
        st.json(out)