Update model.py

model.py

@@ -84,7 +84,14 @@ def multimodal_analyze(text, image, audio):
         "entertainment",
         "health",
         "science",
-        "sports"
+        "sports",
+        "Lifestyle",
+        "Personal Development",
+        "History & Humanities",
+        "Finance",
+        "Case Studies",
+        "News & Analysis",
+        "Interviews"
     ]
     image_label = None
     image_conf = 0
@@ -226,6 +233,10 @@ Confidence: **{audio_conf}%**
                 "The textual topic relates to technology, which aligns with the detected visual content."
             )
 
+    reasoning_lines.append(
+        "The system evaluated textual sentiment, visual context, and vocal tone to determine multimodal alignment."
+    )
+
     # ================= FUSION SCORE =================
 
     fusion_score = 0