Update app.py

app.py

@@ -50,14 +50,14 @@ if file is not None:
         f'<div style="background-color: #FFC845; color: #ffffff; padding: 6px; font-size: 20px; font-family: Open-Sans; font-weight: bold; text-align: center; margin-bottom: 40px;"> Causes behind Positive Reviews</div>',
         unsafe_allow_html=True
     )
-    wc = WordCloud(width=800, height=400, background_color="white", colormap="copper").generate(positive_reviews)
+    wc = WordCloud(width=800, height=400, background_color="white", colormap="Greens").generate(positive_reviews)
     st.image(wc.to_array())
 
     st.markdown(
         f'<div style="background-color: #52565E; color: #ffffff; padding: 6px; font-size: 20px; font-family: Open-Sans; font-weight: bold; text-align: center; margin-bottom: 40px; margin-top: 60px;"> Causes behind Negative Reviews</div>',
         unsafe_allow_html=True
     )
-    wc = WordCloud(width=800, height=400, background_color="white", colormap="copper").generate(negative_reviews)
+    wc = WordCloud(width=800, height=400, background_color="white", colormap="Greens").generate(negative_reviews)
     st.image(wc.to_array())
 
     # Display the sentiment of each review as cards
@@ -68,26 +68,23 @@ if file is not None:
 
 
     # Define sentiment colors
-    sentiment_colors = {'POSITIVE': 'FFC845', 'NEGATIVE': '52565E'}
+    sentiment_colors = {'POSITIVE': '#ffc845', 'NEGATIVE': '#52565e'}
     
     # Map sentiment to colours and apply to review column
     df['sentiment'] = df['sentiment'].apply(lambda x: f'<span style="color: {sentiment_colors[x]}">{x}</span>')
     
     # Create HTML table with no border and centered text
     table_html = (df.style
-                  .set_properties(**{'text-align': 'center'})
+                  .set_properties(**{'text-align': 'left'})
                   .set_table_styles([{'selector': 'th', 'props': [('border', '0px')]},
                                      {'selector': 'td', 'props': [('border', '0px')]}])
+                  .background_gradient(subset=['sentiment'], cmap=sentiment_colors)
+                  .hide_index()
                   .to_html(escape=False))
     
-    # Add the title of the table
+    # Add the title of the table and the selectbox to filter sentiments
     st.title("Sentiment Analysis Results")
-    
-    # Create a space in the sidebar
-    empty_slot = st.sidebar.empty()
-    
-    # Add the selectbox to the space created above
-    filter_sentiment = empty_slot.selectbox("Filter Sentiment", ["All"] + list(sentiment_colors.keys()))
+    filter_sentiment = st.selectbox("Filter Sentiment", ["All"] + list(sentiment_colors.keys()))
     
     # Filter the dataframe based on the selected sentiment
     if filter_sentiment != "All":
@@ -96,6 +93,5 @@ if file is not None:
     # Display the table and the selectbox widget beside the title
     st.write(table_html, unsafe_allow_html=True)
 
-
 else:
     st.write("Please upload a CSV file.")