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import streamlit as st
from extractor import extract, FewDocumentsError
from summarizer import summarize
import time
import cProfile
# Dowload required NLTK resources
from nltk import download
download('punkt')
download('stopwords')
# TODO: translation
def main():
st.title("Trabalho de Formatura - Construindo textos para a internet")
st.subheader("Lucas Antunes e Matheus Vieira")
st.subheader("Digite o tópico sobre o qual você deseja gerar um resumo")
query = st.text_input('Digite o tópico em inglês') #text is stored in this variable
if 'few_documents' not in st.session_state:
st.session_state['few_documents'] = False
few_documents = False
else:
few_documents = st.session_state['few_documents']
button1 = st.button('Gerar resumo')
if button1:
start_time = time.time()
try:
with st.spinner('Extraindo textos relevantes...'):
text = extract(query)
except FewDocumentsError as e:
few_documents = True
st.session_state['few_documents'] = True
st.session_state['documents'] = e.documents
st.session_state['msg'] = e.msg
else:
st.info(f'(Extraction) Elapsed time: {time.time() - start_time:.2f}s')
with st.spinner('Gerando resumo...'):
summary = summarize(text)
st.info(f'(Total) Elapsed time: {time.time() - start_time:.2f}s')
st.markdown(f'Seu resumo para "{query}":\n\n> {summary}')
if few_documents:
st.warning(st.session_state['msg'])
if st.button('Prosseguir'):
start_time = time.time()
with st.spinner('Extraindo textos relevantes...'):
text = extract(query, extracted_documents=st.session_state['documents'])
st.info(f'(Extraction) Elapsed time: {time.time() - start_time:.2f}s')
with st.spinner('Gerando resumo...'):
summary = summarize(text)
st.info(f'(Total) Elapsed time: {time.time() - start_time:.2f}s')
st.markdown(f'Seu resumo para "{query}":\n\n> {summary}')
st.session_state['few_documents'] = False
few_documents = False
if __name__ == '__main__':
cProfile.run('main()', 'stats.txt') |