debug print for minor probs

interfaces/cap_minor_media.py

@@ -118,7 +118,9 @@ def predict(text, major_model_id, minor_model_id, tokenizer_id, HF_TOKEN=None):
         with torch.no_grad():
             minor_logits = minor_model(**inputs).logits
             minor_probs = F.softmax(minor_logits, dim=-1)
-
+            
+        
+        print(minor_probs) # debug
         # Restrict to valid minor codes
         valid_indices = [minor_id_to_index[mid] for mid in valid_minor_ids if mid in minor_id_to_index]
         filtered_probs = {minor_index_to_id[i]: float(minor_probs[0][i]) for i in valid_indices}