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import tweepy as tw
import streamlit as st
import pandas as pd
import torch
import numpy as np
import regex as re
import pysentimiento
from pysentimiento.preprocessing import preprocess_tweet
from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler
from transformers import AutoTokenizer, AutoModelForSequenceClassification,AdamW
tokenizer = AutoTokenizer.from_pretrained('hackathon-pln-es/twitter_sexismo-finetuned-robertuito-exist2021')
model = AutoModelForSequenceClassification.from_pretrained("hackathon-pln-es/twitter_sexismo-finetuned-robertuito-exist2021")
import torch
if torch.cuda.is_available():
device = torch.device( "cuda")
print('I will use the GPU:', torch.cuda.get_device_name(0))
else:
print('No GPU available, using the CPU instead.')
device = torch.device("cpu")
consumer_key = "BjipwQslVG4vBdy4qK318KnoA"
consumer_secret = "3fzL70v9faklrPgvTi3zbofw9rwk92fgGdtAslFkFYt8kGmqBJ"
access_token = "1217853705086799872-Y5zEChpTeKccuLY3XJRXDPPZhNrlba"
access_token_secret = "pqQ5aFSJxzJ2xnI6yhVtNjQO36FOu8DBOH6DtUrPAU54J"
auth = tw.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tw.API(auth, wait_on_rate_limit=True)
st.set_page_config(layout="wide")
st.markdown('<style>body{background-color: Blue;}</style>',unsafe_allow_html=True)
colT1,colT2 = st.columns([2,8])
with colT2:
# st.title('Analisis de comentarios sexistas en Twitter')
st.markdown(""" <style> .font {
font-size:40px ; font-family: 'Cooper Black'; color: #06bf69;}
</style> """, unsafe_allow_html=True)
st.markdown('<p class="font">Análisis de comentarios sexistas en Twitter</p>', unsafe_allow_html=True)
st.markdown(""" <style> .font1 {
font-size:28px ; font-family: 'Times New Roman'; color: #8d33ff;}
</style> """, unsafe_allow_html=True)
st.markdown(""" <style> .font2 {
font-size:16px ; font-family: 'Times New Roman'; color: #3358ff;}
</style> """, unsafe_allow_html=True)
def run():
with st.form("my_form"):
col,buff1, buff2 = st.columns([2,2,1])
st.write("Escoja una Opción")
search_words = col.text_input("Introduzca el termino o usuario para analizar y pulse el check correspondiente")
number_of_tweets = col.number_input('Introduzca número de twweets a analizar. Máximo 50', 0,50,10)
termino=st.checkbox('Término')
usuario=st.checkbox('Usuario')
submit_button = col.form_submit_button(label='Analizar')
error=False
if submit_button:
date_since = "2020-09-14"
if ( termino == False and usuario == False):
st.text('Error no se ha seleccionado ningun check')
error=True
elif ( termino == True and usuario == True):
st.text('Error se han seleccionado los dos check')
error=True
run() |