Update src/streamlit_app.py

src/streamlit_app.py

@@ -78,7 +78,8 @@ def highlight_entities(text, df_entities):
         entity_text = entity['text']
         color = entity_color_map.get(label, '#000000')
         # Create a span with background color and tooltip
-        highlight_html = f'<span style="background-color: {color}; color: white; padding: 2px 4px; border-radius: 3px; cursor: help;" title="{label}">{entity_text}</span>'
+        highlight_html = f'<span style="background-color: {color}; color: white; padding: 2px 4px; border-radius: 3px; cursor: help; text-shadow: 1px 1px 1px #000000;" title="{label}">{entity_text}</span>'
+        
         # Replace the original text segment with the highlighted HTML
         highlighted_text = highlighted_text[:start] + highlight_html + highlighted_text[end:]
     # Use a div to mimic the Streamlit input box style for the report
@@ -133,7 +134,7 @@ def create_topic_word_bubbles(df_topic_data):
         size='weight',
         color='topic',
         hover_name='word',
-        size_max=80,
+        size_max=45,
         title='Topic Word Weights (Bubble Chart)',
         color_discrete_sequence=px.colors.qualitative.Bold,
         labels={
@@ -151,7 +152,7 @@ def create_topic_word_bubbles(df_topic_data):
         showlegend=True,
         plot_bgcolor='#f9f9f9', # Changed from pink
         paper_bgcolor='#f9f9f9', # Changed from pink
-        height=600,
+        height=750,
         margin=dict(t=50, b=100, l=50, r=10),
     )
     fig.update_traces(hovertemplate='<b>%{customdata[0]}</b><br>Weight: %{customdata[1]:.3f}<extra></extra>', marker=dict(line=dict(width=1, color='DarkSlateGrey')))