Various fixes

gradio_ui.py

@@ -6,7 +6,7 @@ scenario_map = get_demo_scenarios()
 
 # ─── PROCESS SCENARIO FUNCTION ────────────────────────────────────────────────────
 def process_scenario(selected_label):
-    fusion_prompt, final_uesp, empathic_response = run_mec_pipeline(selected_label)
+    fusion_prompt, final_uesp, empathic_response, emid = run_mec_pipeline(selected_label)
 
     # Extract values from final_uesp
     primary_emotion = final_uesp.get('primary_emotion', 'TBD')
@@ -22,6 +22,7 @@ def process_scenario(selected_label):
     - Primary Emotion: {primary_emotion}
     - Emotional Arc: {emotion_arc}
     - Resonance: {resonance}
+    - Emotion ID (EmID): {emid}
   """
 
     # Construct the Empathic Response section

mec_api.py

@@ -38,7 +38,7 @@ def run_mec_pipeline(user_input_text: str, force_hei: bool = False):
       3) Routing: ERIS vs. HEI fallback based on confidence or force_hei
       4) FECController.generate_prompt
     Returns:
-      fusion_prompt (str), final_uesp (dict)
+      fusion_prompt (str), final_uesp (dict), empathic_response (str), EmID (str)
     """
     # 1️⃣ EIL
     eil_packet = eil.infer_emotion(user_input_text)
@@ -62,13 +62,16 @@ def run_mec_pipeline(user_input_text: str, force_hei: bool = False):
     strategy_name = response_strategies.get(fam_code, {}).get('strategy', 'Strategy not defined')
     sample_response = response_strategies.get(fam_code, {}).get('sample_response', 'No response available')
 
+    # Get Emotion ID (EmID)
+    emid = final_uesp.get('emid', 'No EmID available')
+
     empathic_response = (
         f"Response Strategy Code: {rsm_code}\n"
         f"Response Strategy: {strategy_name}\n\n"
         f"{sample_response}"
     )
 
-    return fusion_prompt, final_uesp, empathic_response
+    return fusion_prompt, final_uesp, empathic_response, emid
 
 def get_demo_scenarios():
     """