Update app.py

app.py

@@ -53,25 +53,24 @@ def emotionAnalysis(message, face):
     
     face_timestamp = datetime.now().astimezone().strftime(localFormat)
 
-    if face is None:
-        face_emotion = "No image"
-        face_score = 0.0
-    else:
+    # Initialize with default values
+    face_emotion = "No image"  # Default value
+    face_score = 0.0
+
+    if face is not None:
         try:
             img_rgb = cv2.cvtColor(face, cv2.COLOR_BGR2RGB)
             result = face_emotion_detector.top_emotion(img_rgb)
-            if result is None:
-                face_emotion = "No face detected"
-                face_score = 0.0
-            else:
+            if result is not None:  # Only update if we got a valid result
                 face_emotion, face_score = result
+            else:
+                face_emotion = "No face detected"
         except Exception as e:
-            face_emotion = "Error processing image"
-            face_score = 0.0
+            face_emotion = f"Error processing image: {str(e)}"
 
     # Store facial emotion data for plotting
     face_dataDict["Time"].append(face_timestamp)
-    face_dataDict["Emotion"].append(face_emotion)
+    face_dataDict["Emotion"].append(face_emotion)  # Now face_emotion will always be a string
     face_dataDict["Confidence Score"].append(face_score)
 
     # Return both the text result and the updated plot