Update pages/2 Topic Modeling.py

pages/2 Topic Modeling.py

@@ -34,6 +34,7 @@ import en_core_web_sm
 import pipeline
 from html2image import Html2Image
 from umap import UMAP
+import os
 
 
 #===config===
@@ -43,6 +44,14 @@ st.set_page_config(
      layout="wide"
 )
 st.header("Topic Modeling")
+hide_streamlit_style = """
+            <style>
+            #MainMenu {visibility: hidden;}
+            footer {visibility: hidden;}
+            </style>
+            """
+st.markdown(hide_streamlit_style, unsafe_allow_html=True) 
+
 st.subheader('Put your file here...')
 
 #========unique id========
@@ -72,6 +81,9 @@ def reset_biterm():
 
 def reset_all():
      st.cache_data.clear()
+
+#===avoiding deadlock===
+os.environ["TOKENIZERS_PARALLELISM"] = "false"
         
 #===clean csv===
 @st.cache_data(ttl=3600, show_spinner=False)
@@ -149,7 +161,7 @@ if uploaded_file is not None:
     num_cho = c2.number_input('Choose number of topics', min_value=2, max_value=30, value=2)
     words_to_remove = c3.text_input("Remove specific words. Separate words by semicolons (;)") 
     
-    d1, d2 = st.columns([7,3]) 
+    d1, d2 = st.columns([8,2]) 
     d2.info("Don't do anything during the computing", icon="⚠️")
     topic_abs, paper=clean_csv(extype) 
 
@@ -358,7 +370,7 @@ if uploaded_file is not None:
 
         @st.cache_data(ttl=3600, show_spinner=False)
         def Vis_Barchart(extype):
-          fig5 = topic_model.visualize_barchart(top_n_topics=num_topic)
+          fig5 = topic_model.visualize_barchart(top_n_topics=num_topic) #, n_words=10)
           return fig5
     
         @st.cache_data(ttl=3600, show_spinner=False)
@@ -403,4 +415,4 @@ if uploaded_file is not None:
           
         with tab3:
           st.markdown('**Jeet Rawat, A., Ghildiyal, S., & Dixit, A. K. (2022, December 1). Topic modelling of legal documents using NLP and bidirectional encoder representations from transformers. Indonesian Journal of Electrical Engineering and Computer Science, 28(3), 1749.** https://doi.org/10.11591/ijeecs.v28.i3.pp1749-1755')
-          st.markdown('**Yao, L. F., Ferawati, K., Liew, K., Wakamiya, S., & Aramaki, E. (2023, April 20). Disruptions in the Cystic Fibrosis Community’s Experiences and Concerns During the COVID-19 Pandemic: Topic Modeling and Time Series Analysis of Reddit Comments. Journal of Medical Internet Research, 25, e45249.** https://doi.org/10.2196/45249')
+          st.markdown('**Yao, L. F., Ferawati, K., Liew, K., Wakamiya, S., & Aramaki, E. (2023, April 20). Disruptions in the Cystic Fibrosis Community’s Experiences and Concerns During the COVID-19 Pandemic: Topic Modeling and Time Series Analysis of Reddit Comments. Journal of Medical Internet Research, 25, e45249.** https://doi.org/10.2196/45249')