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import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
from wordcloud import WordCloud
# ===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)
with st.popover("🔗 Menu"):
st.page_link("https://www.coconut-libtool.com/", label="Home", icon="🏠")
st.page_link("pages/1 Scattertext.py", label="Scattertext", icon="1️⃣")
st.page_link("pages/2 Topic Modeling.py", label="Topic Modeling", icon="2️⃣")
st.page_link("pages/3 Bidirected Network.py", label="Bidirected Network", icon="3️⃣")
st.page_link("pages/4 Sunburst.py", label="Sunburst", icon="4️⃣")
st.page_link("pages/5 Burst Detection.py", label="Burst Detection", icon="5️⃣")
st.page_link("pages/6 Keywords Stem.py", label="Keywords Stem", icon="6️⃣")
st.page_link("pages/7 Sentiment Analysis.py", label="Sentiment Analysis", icon="7️⃣")
st.page_link("pages/8 Shifterator.py", label="Shifterator", icon="8️⃣")
st.page_link("pages/9 Summarization.py", label = "Summarization",icon ="9️⃣")
st.page_link("pages/10 WordCloud.py", label = "WordCloud", icon = "🔟")
st.page_link("pages/Rtest.py",label = "rtesting")
st.header("Wordcloud", anchor=False)
st.subheader('Put your file here...', anchor=False)
#========unique id========
@st.cache_resource(ttl=3600)
def create_list():
l = [1, 2, 3]
return l
l = create_list()
first_list_value = l[0]
l[0] = first_list_value + 1
uID = str(l[0])
@st.cache_data(ttl=3600)
def get_ext(uploaded_file):
extype = uID+uploaded_file.name
return extype
#===clear cache===
def reset_all():
st.cache_data.clear()
#===text reading===
def read_txt(intext):
return (intext.read()).decode()
#===csv reading===
def read_csv(uploaded_file):
fulltexts = pd.read_csv(uploaded_file)
fulltexts.rename(columns={fulltexts.columns[0]: "texts"}, inplace = True)
return fulltexts
#===Read data===
uploaded_file = st.file_uploader('', type=['txt'], on_change=reset_all)
if uploaded_file is not None:
tab1, tab2, tab3 = st.tabs(["📈 Generate visualization", "📃 Reference", "⬇️ Download Help"])
with tab1:
c1, c2 = st.columns(2)
with c1:
max_font = st.number_input("Max Font Size", min_value = 1, value = 100, on_change=reset_all)
max_words = st.number_input("Max Word Count", min_value = 1, value = 250, on_change=reset_all)
background = st.selectbox("Background color", ["white","black"], on_change=reset_all)
with c2:
words_to_remove = st.text_input("Remove specific words. Separate words by semicolons (;)")
stopwords = words_to_remove.split(';')
image_width = st.number_input("Image width", value = 400, on_change=reset_all)
image_height = st.number_input("Image height", value = 200, on_change=reset_all)
scale = st.number_input("Scale", value = 1, on_change=reset_all)
try:
extype = get_ext(uploaded_file)
if extype.endswith(".txt"):
if st.button("Submit"):
fulltext = read_txt(uploaded_file)
wordcloud = WordCloud(max_font_size = max_font,
max_words = max_words,
background_color=background,
stopwords = stopwords,
height = image_height,
width = image_width,
scale = scale).generate(fulltext)
img = wordcloud.to_image()
with st.container(border=True):
st.image(img, use_container_width=True)
elif extype.endswith(".csv"):
texts = read_csv(uploaded_file)
except Exception as e:
st.write(e) |