updating blog markdowns

app.py

@@ -23,7 +23,7 @@ def load_data():
     """
 
     st.header('📂 Load Data')
-    read_md('markdown/load_data.md')
+    st.markdown(read_md('markdown/load_data.md'))
 
     uploaded_file = st.file_uploader("Choose a CSV file",
                                      help='Upload a CSV file with the following columns: Title, Abstract')
@@ -73,7 +73,7 @@ def topic_modeling(data):
     """
 
     st.header('🔥 Topic Modeling')
-    read_md('markdown/topic_modeling.md')
+    st.markdown(read_md('markdown/topic_modeling.md'))
 
     cols = st.columns(3)
     with cols[0]:
@@ -122,7 +122,7 @@ def strip_network(data, topic_data, topics):
     """
 
     st.header('🚀 STriP Network')
-    read_md('markdown/stripnet.md')
+    st.markdown(read_md('markdown/stripnet.md'))
 
     with st.spinner('Cosine Similarity Calculation'):
         cosine_sim_matrix = helpers.cosine_sim(data)
@@ -180,7 +180,7 @@ def network_centrality(nx_net, topic_data):
     """
 
     st.header('🏅 Most Important Papers')
-    read_md('markdown/centrality.md')
+    st.markdown(read_md('markdown/centrality.md'))
 
     centrality_mapping = {
         'Betweenness Centrality': nx.betweenness_centrality,
@@ -209,14 +209,14 @@ def read_md(file_path):
     """Reads a markdown file and returns the contents as a streamlit markdown component.
     """
     with open(file_path, 'r') as f:
-        content = st.markdown(f.read())
+        content = f.read()
 
     return content
 
 
 def main():
     st.title('STriPNet: Semantic Similarity of Scientific Papers!')
-    read_md('markdown/about_stripnet.md')
+    st.markdown(read_md('markdown/about_stripnet.md'))
 
     logger.info('========== Step1: Loading data ==========')
     data, selected_cols = load_data()
@@ -231,7 +231,7 @@ def main():
         logger.info('========== Step4: Network Centrality ==========')
         network_centrality(nx_net, topic_data)
 
-    read_md('markdown/about_me.md')
+    st.markdown(read_md('markdown/about_me.md'))
 
 
 if __name__ == '__main__':