app.py

import streamlit as st

# Use a pipeline as a high-level helper
from transformers import pipeline

toxic_model = pipeline("text-classification", model="Matt09Miao/GP5_tweet_toxic")  
    





st.set_page_config(page_title="Generate Your Tweet and Toxicity Analysis")

st.header("Please input your Tweet for Toxicity Analysis :performing_arts:")
input = st.text_input("Please input your first word...")

if input is not None:
    #Stage 1: Input to Tweet
    st.text('Toxicity Analysis...')
    result = toxic_model(input)
    print(result)