Final Commit

app.py

@@ -16,7 +16,7 @@ st.set_page_config(page_title="review Analysis", page_icon=":smiley:")
 # Add image and heading
 st.image("home.png", use_column_width=True)
 
-file = st.file_uploader("Drop your file here", type=["csv"])
+file = st.file_uploader("", type=["csv"])
 
 # Define the app's functionality
 if file is not None:
@@ -40,7 +40,7 @@ if file is not None:
     sentiment_counts = df["Sentiment"].value_counts()
     fig = px.pie(sentiment_counts, values=sentiment_counts.values, names=sentiment_counts.index,
                  color_discrete_sequence=colors)
-    st.plotly_chart(fig)
+    st.plotly_chart(fig, use_container_width=True)
 
     # Create word clouds for positive and negative reviews
     positive_reviews = " ".join(df[df["Sentiment"] == "POSITIVE"]["Review"].tolist())
@@ -51,23 +51,23 @@ if file is not None:
         unsafe_allow_html=True
     )
     wc = WordCloud(width=800, height=400, background_color="white", colormap="Greens").generate(positive_reviews)
-    st.image(wc.to_array())
+    st.image(wc.to_array(),use_column_width=True)
 
     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="Greens").generate(negative_reviews)
-    st.image(wc.to_array())
+    st.image(wc.to_array(),use_column_width=True)
 
     # Display the sentiment of each review as cards
     st.markdown(
-        f'<div style="background-color: #234A21; color: #ffffff; padding: 6px; font-size: 20px; font-family: Open-Sans; font-weight: bold; text-align: center; margin-bottom: 40px;> What customers said about us</div>',
+        f'<div style="background-color: #234A21; color: #ffffff; padding: 6px; font-size: 20px; font-family: Open-Sans; font-weight: bold; text-align: center; margin-top: 60px;"> What customers said about us</div>',
         unsafe_allow_html=True
     )
 
     # Add the selectbox to filter sentiments
-    filter_sentiment = st.selectbox("Filter Sentiments", ["All", "POSITIVE", "NEGATIVE"])
+    filter_sentiment = st.selectbox("", ["All", "POSITIVE", "NEGATIVE"])
     
     # Filter the dataframe based on the selected sentiment
     if filter_sentiment != "All":
@@ -75,7 +75,7 @@ if file is not None:
     
     # Create HTML table with no border and centered text
     table_html = (df.style
-                  .set_properties(**{'text-align': 'left','font-size': '14px'})
+                  .set_properties(**{'text-align': 'left','font-size': '15px','font-family': 'Open-Sans'})
                   .set_table_styles([{'selector': 'th', 'props': [('border', '0px')]},
                                      {'selector': 'td', 'props': [('border', '0px')]}])
                   .to_html(index=False, escape=False))