Update app.py

app.py

@@ -16,24 +16,17 @@ st.set_page_config(page_title="Review Analysis", page_icon=":smiley:")
 # Add image and heading
 st.image("Header.png", use_column_width=True)
 
-col1, col2 = st.columns(2)
-with col1:
-    file = st.file_uploader(" ", type=["csv"])
-with col2:
-    if file is not None:
-        st.write(f"{file.name}")
-    else:
-        st.write('Please add your CSV to process!')
+file = st.file_uploader(" ", type=["csv"])
 
 # Define the app's functionality
 if file is not None:
     # Read the CSV file into a Pandas DataFrame
     df = pd.read_csv(file)
-    st.markdown(f"<h5 style='font-family: Verdana;'>Total reviews: {len(df)-1} </h5>", unsafe_allow_html=True)
+    st.markdown(f"<h5 style='font-family: monospace;font-size: 16px;'>Total reviews: {len(df)-1} </h5>", unsafe_allow_html=True)
     
     # Write the total number of records
     st.markdown(
-        f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 16px; font-family: Verdana; font-weight: bold; text-align: center; border-radius: 1rem;margin-top: 40px"> Distribution of Reviews </div>',
+        f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 16px; font-family: monospace; font-weight: bold; text-align: center; border-radius: 1rem;margin-top: 40px"> Distribution of Reviews </div>',
         unsafe_allow_html=True
     )
 
@@ -59,39 +52,39 @@ if file is not None:
     
     with col1:
         st.markdown(
-            f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 16px; font-family: Verdana; font-weight: bold; text-align: center; margin-bottom: 40px; border-radius: 1rem">Positive Reviews</div>',
+            f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 16px; font-family: monospace; font-weight: bold; text-align: center; margin-bottom: 40px; border-radius: 1rem">Positive Reviews</div>',
             unsafe_allow_html=True
         )
-        wc_pos = WordCloud(width=800, height=400, background_color="white", colormap="winter").generate(positive_reviews)
+        wc_pos = WordCloud(width=800, height=600, background_color="white", colormap="winter").generate(positive_reviews)
         st.image(wc_pos.to_array(),use_column_width=True)
     
     with col2:
         st.markdown(
-            f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 16px; font-family: Verdana; font-weight: bold; text-align: center; margin-bottom: 40px;border-radius: 1rem">Negative Reviews</div>',
+            f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 16px; font-family: monospace; font-weight: bold; text-align: center; margin-bottom: 40px;border-radius: 1rem">Negative Reviews</div>',
             unsafe_allow_html=True
         )
-        wc_neg = WordCloud(width=800, height=400, background_color="white", colormap="winter").generate(negative_reviews)
+        wc_neg = WordCloud(width=800, height=600, background_color="white", colormap="winter").generate(negative_reviews)
         st.image(wc_neg.to_array(),use_column_width=True)
 
     # Display the sentiment of each review as cards
     st.markdown(
-        f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 16px; font-family: Verdana; font-weight: bold; text-align: center; margin-top: 60px; border-radius: 1rem"> Reviews in depth </div>',
+        f'<div style="background-color: #4AA6DD; color: #ffffff; padding: 6px; font-size: 16px; font-family: monospace; font-weight: bold; text-align: center; margin-top: 60px; border-radius: 1rem"> Reviews in depth </div>',
         unsafe_allow_html=True
     )
 
     # Add the selectbox to filter sentiments
-    filter_sentiment = st.selectbox("", ["All", "POSITIVE", "NEGATIVE"])
+    filter_sentiment = st.selectbox("", ["ALL", "POSITIVE", "NEGATIVE"])
     
     # Filter the dataframe based on the selected sentiment
     if filter_sentiment != "All":
-        df = df[df['sentiment'] == filter_sentiment]
+        df = df[df['Sentiment'] == filter_sentiment]
     
     # Set the max number of rows to display at a time
     max_rows = 15
     
     # Create HTML table with no border and centered text
     table_html = (df.style
-                  .set_properties(**{'text-align': 'left','font-size': '12px','font-family': 'Verdana'})
+                  .set_properties(**{'text-align': 'left','font-size': '12px','font-family': 'monospace'})
                   .set_table_styles([{'selector': 'th', 'props': [('border', '0px')]},
                                      {'selector': 'td', 'props': [('border', '0px')]}])
                   .set_table_attributes('style="position: sticky; top: 0;"')