app.py

import streamlit as st
from snscrape.modules.twitter import TwitterUserScraper
import pandas as pd
from Predict import *
from Scraper import *
from transformers import pipeline

# Model and pipeline
MODEL_PATH = 'danielcd99/multilanguage-toxicity-classifier'

"""
def load_pipeline():
    pipe=pipeline(
    "text-classification",
    model=MODEL_PATH
    )
    return pipe

pipe = load_pipeline()
"""

# Title and subtitle
st.title("Toxicity Detection")
st.subheader("This is an app for detecting toxicity in tweets written in portuguese. "
          "Write the name of the user (without @) and select the number of tweets you want to check.")