Update handler.py

handler.py

@@ -312,8 +312,15 @@ def generate_response(
 
     dbg(f"[gen] temperature={temperature} top_p={top_p} max_new_tokens={max_new_tokens} rep={repetition_penalty} seed={det_seed} mode={output_mode}")
 
-    # For "report_en", compose by calling json + narrative branches
     if output_mode == "report_en":
+        # Ensure a session exists so we can safely expose a conversation_id
+        try:
+            _cb = chat_manager.get_chatbot(args, args.model_path, tokenizer, model, image_processor, context_len)
+            conv_id = id(_cb.conversation)
+        except Exception:
+            conv_id = None
+    
+        # 1) Produce strict JSON (machine-readable)
         first = generate_response(
             message_text=message_text,
             image_input=image_input,
@@ -327,7 +334,8 @@ def generate_response(
         if not isinstance(first, dict) or "response" not in first or not isinstance(first["response"], dict):
             return first
         data = first["response"]
-
+    
+        # 2) Produce short narrative (human-readable)
         second = generate_response(
             message_text=message_text,
             image_input=image_input,
@@ -339,14 +347,15 @@ def generate_response(
             output_mode="narrative",
         )
         narrative = second.get("response") if isinstance(second, dict) else None
-
+    
         table_txt = render_ecg_table_en(data)
         return {
             "status": "success",
             "report": {"table_text": table_txt, "json": data, "narrative": narrative},
-            "conversation_id": id(chatbot)  # not conversation; narrative branch already logged
+            "conversation_id": conv_id
         }
 
+
     chatbot = chat_manager.get_chatbot(args, args.model_path, tokenizer, model, image_processor, context_len)
     if conv_mode_override and conv_mode_override in conv_templates:
         chatbot.conversation = conv_templates[conv_mode_override].copy()