Update app.py

app.py

@@ -22,11 +22,11 @@ file = st.file_uploader(" ",label_visibility='collapsed',type=["csv"])
 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: sans-serif;font-size: 16px;'>Total reviews: {len(df)-1} </h5>", unsafe_allow_html=True)
+    st.markdown(f"<h5 style='font-family: sans-serif;margin-top:40px'>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: sans-serif; 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: sans-serif; font-weight: bold; text-align: center; border-radius: 1rem;margin-top: 10px"> Distribution of Reviews </div>',
         unsafe_allow_html=True
     )
 
@@ -76,7 +76,7 @@ if file is not None:
     filter_sentiment = st.selectbox("", ["ALL", "POSITIVE", "NEGATIVE"])
     
     # Filter the dataframe based on the selected sentiment
-    if filter_sentiment != "All":
+    if filter_sentiment != "ALL":
         df = df[df['Sentiment'] == filter_sentiment]
     
     # Set the max number of rows to display at a time