Update app.py

app.py

@@ -54,21 +54,25 @@ def emotionAnalysis(message, face):
     face_timestamp = datetime.now().astimezone().strftime(localFormat)
 
     if face is None:
-        face_emotion = "Unreadable"
-
-        face_dataDict["Time"].append(face_timestamp)
-        face_dataDict["Emotion"].append(face_emotion)
-        face_dataDict["Confidence Score"].append(0.0)
+        face_emotion = "No image"
+        face_score = 0.0
     else:
-        # Capture and process facial emotion
-        img_rgb = cv2.cvtColor(face, cv2.COLOR_BGR2RGB)
-
-        face_emotion, face_score = face_emotion_detector.top_emotion(img_rgb)
-
-        # Store facial emotion data for plotting
-        face_dataDict["Time"].append(face_timestamp)
-        face_dataDict["Emotion"].append(face_emotion)
-        face_dataDict["Confidence Score"].append(face_score)
+        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:
+                face_emotion, face_score = result
+        except Exception as e:
+            face_emotion = "Error processing image"
+            face_score = 0.0
+
+    # Store facial emotion data for plotting
+    face_dataDict["Time"].append(face_timestamp)
+    face_dataDict["Emotion"].append(face_emotion)
+    face_dataDict["Confidence Score"].append(face_score)
 
     # Return both the text result and the updated plot
     return f"Text: {text_emotion} | Face: {face_emotion}", displayResults()