jcmachicao's picture
Update app.py
90374b9
raw
history blame
872 Bytes
import streamlit as st
import pandas as pd
# Load dataframe
file = st.file_uploader('Seleccione un archivo: ')
df = pd.DataFrame(file)
if file is None:
pass
else:
# Sidebar option
option = st.sidebar.selectbox('Classify results by:', ('Pregunta', 'Categoría'))
# Group dataframe by chosen option
if option == 'Pregunta':
grouped_df = df.groupby('Pregunta')
elif option == 'Categoría':
grouped_df = df.groupby('Categoría')
# Generate text with bullets
text = ''
for name, group in grouped_df:
text += f'{name}:\n\n'
for index, row in group.iterrows():
text += f'- {row["Item"]}\n'
text += '\n'
# Download link for text file
st.markdown(f'<a href="data:text/plain;charset=utf-8,{text}" download="result.txt">Download Text File</a>', unsafe_allow_html=True)