Update app.py

app.py

@@ -21,7 +21,7 @@ st.markdown(
     <style>
     /* Background color for the title */
     .title-container {
-        background-color: #e6f3ff;  /* Light blue background */
+        background-color: #f0f0f0;  /* Light gray background */
         padding: 10px;
         border-radius: 5px;
     }
@@ -33,7 +33,7 @@ st.markdown(
     }
     /* Background color for the text area (feedback_input) */
     .stTextArea textarea {
-        background-color: #fff5e6;  /* Light peach background */
+        background-color: #e6f3ff;  /* Light blue background */
         border-radius: 5px;
     }
     </style>
@@ -57,7 +57,7 @@ st.markdown(
     """
     <div class="description-container">
         This app uses Hugging Face models to detect the topics and intent of customer feedback
-        and determine the sentiment (positive or negative) for each relevant category.
+        and determine the sentiment (positive👍 or negative👎) for each relevant category.
         A single feedback may belong to multiple categories, such as Pricing, Feature, and Customer Service.
         The feedback is split into sentences, and each sentence is categorized and analyzed for sentiment.
         Only categories with a confidence score >= 0.8 are displayed.
@@ -106,14 +106,10 @@ if st.button("Classify Feedback"):
                         sentiment_label = "NEGATIVE"
                         sentiment_icon = "👎"  # Thumbs-down icon for negative
                         sentiment_color = "red"  # Red color for negative
-                    elif raw_label == "LABEL_1":
+                    else raw_label == "LABEL_1":
                         sentiment_label = "POSITIVE"
                         sentiment_icon = "👍"  # Thumbs-up icon for positive
                         sentiment_color = "green"  # Green color for positive
-                    else:
-                        sentiment_label = raw_label  # Fallback in case of unexpected label
-                        sentiment_icon = "❓"  # Question mark for unknown
-                        sentiment_color = "gray"  # Gray color for unknown
 
                     # Store the result for the category
                     category_results[label].append({