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import streamlit as st
import pandas as pd
#===config===
st.set_page_config(
page_title="Coconut",
page_icon="🥥",
layout="wide",
initial_sidebar_state="collapsed"
)
hide_streamlit_style = """
<style>
#MainMenu
{visibility: hidden;}
footer {visibility: hidden;}
[data-testid="collapsedControl"] {display: none}
</style>
"""
st.markdown(hide_streamlit_style, unsafe_allow_html=True)
st.page_link("https://www.coconut-libtool.com/the-app", label="Go to app", icon="🥥")
def reset_data():
st.cache_data.clear()
#===check filetype===
@st.cache_data(ttl=3600)
def get_ext(extype):
extype = uploaded_file.name
return extype
#===upload===
@st.cache_data(ttl=3600)
def upload(extype):
keywords = pd.read_csv(uploaded_file)
return keywords
@st.cache_data(ttl=3600)
def conv_txt(extype):
col_dict = {'TI': 'Title',
'SO': 'Source title',
'DE': 'Author Keywords',
'DT': 'Document Type',
'AB': 'Abstract',
'TC': 'Cited by',
'PY': 'Year',
'ID': 'Keywords Plus'}
keywords = pd.read_csv(uploaded_file, sep='\t', lineterminator='\r')
keywords.rename(columns=col_dict, inplace=True)
return keywords
st.header('File Checker', anchor=False)
st.subheader('Put your file here...', anchor=False)
#===read data===
uploaded_file = st.file_uploader('', type=['csv','txt'], on_change=reset_data)
if uploaded_file is not None:
extype = get_ext(uploaded_file)
if extype.endswith('.csv'):
data = upload(extype)
elif extype.endswith('.txt'):
data = conv_txt(extype)
col1, col2, col3 = st.columns(3)
with col1:
#===check keywords===
keycheck = list(data.columns)
keycheck = [k for k in keycheck if 'Keyword' in k]
container1 = st.container(border=True)
if not keycheck:
container1.subheader('❌ Keyword Stem', divider='red', anchor=False)
container1.write("Unfortunately, you don't have a column containing keywords in your data. Please check again. If you want to use it in another column, please rename it to 'Keywords'.")
else:
container1.subheader('✔️ Keyword Stem', divider='blue', anchor=False)
container1.write('Congratulations! You can use Keywords Stem')
#===Visualization===
if 'Publication Year' in data.columns:
data.rename(columns={'Publication Year': 'Year', 'Citing Works Count': 'Cited by',
'Publication Type': 'Document Type', 'Source Title': 'Source title'}, inplace=True)
col2check = ['Document Type','Source title','Cited by','Year']
miss_col = [column for column in col2check if column not in data.columns]
container2 = st.container(border=True)
if not miss_col:
container2.subheader('✔️ Sunburst', divider='blue', anchor=False)
container2.write('Congratulations! You can use Sunburst')
else:
container2.subheader('❌ Sunburst', divider='red', anchor=False)
miss_col_str = ', '.join(miss_col)
container2.write(f"Unfortunately, you don't have: {miss_col_str}. Please check again.")
with col2:
#===check any obj===
coldf = sorted(data.select_dtypes(include=['object']).columns.tolist())
container3 = st.container(border=True)
if not coldf or data.shape[0] < 2:
container3.subheader('❌ Topic Modeling', divider='red', anchor=False)
container3.write("Unfortunately, you don't have a column containing object in your data. Please check again.")
else:
container3.subheader('✔️ Topic Modeling', divider='blue', anchor=False)
container3.write('Congratulations! You can use Topic Modeling')
#===Burst===
container4 = st.container(border=True)
if not coldf or 'Year' not in data.columns:
container4.subheader('❌ Burst Detection', divider='red', anchor=False)
container4.write("Unfortunately, you don't have a column containing object in your data or a 'Year' column. Please check again.")
else:
container4.subheader('✔️ Burst Detection', divider='blue', anchor=False)
container4.write('Congratulations! You can use Burst Detection')
with col3:
#===bidirected===
container5 = st.container(border=True)
if not keycheck:
container5.subheader('❌ Bidirected Network', divider='red', anchor=False)
container5.write("Unfortunately, you don't have a column containing keywords in your data. Please check again. If you want to use it in another column, please rename it to 'Keywords'.")
else:
container5.subheader('✔️ Bidirected Network', divider='blue', anchor=False)
container5.write('Congratulations! You can use Bidirected Network')
#===scattertext===
container6 = st.container(border=True)
if not coldf or data.shape[0] < 2:
container6.subheader('❌ Scattertext', divider='red', anchor=False)
container6.write("Unfortunately, you don't have a column containing object in your data. Please check again.")
else:
container6.subheader('✔️ Scattertext', divider='blue', anchor=False)
container6.write('Congratulations! You can use Scattertext') |