Update src/ux_agent.py

src/ux_agent.py

@@ -152,6 +152,30 @@ class AgentUX:
         except: pass
         return json.dumps({"clarification": text})
 
+    def api_translate_peer(self, text, source_dialect, target_dialect):
+        """Translates an utterance directly from one dialect to another."""
+        if not text: return ""
+        
+        prompt = f"""
+        Translate the following utterance from {source_dialect} to {target_dialect}. 
+        Utterance: "{text}"
+        
+        CRITICAL INSTRUCTIONS:
+        1. Output ONLY the translated text. No conversational filler.
+        2. Preserve the cultural pragmatics and emotional tone.
+        3. Do not explain the translation, just provide the direct equivalent in {target_dialect}.
+        """
+        try:
+            if hasattr(self.brain, 'gemini_manager') and self.brain.gemini_manager:
+                response = self.brain.gemini_manager.client.models.generate_content(
+                    model='gemini-2.0-flash',
+                    contents=prompt
+                )
+                return response.text.replace("```json", "").replace("```", "").replace('"', '').strip()
+        except Exception as e:
+            print(f"Peer Translation Error: {e}")
+        return text # Fallback to original text if API fails
+
     # ==========================================
     #            SOCIOLINGUISTIC PIPELINE
     # ==========================================
@@ -1143,6 +1167,18 @@ class AgentUX:
                     outputs=[feedback_msg, btn_over, alert_player], 
                     api_name="check_and_submit_logic"
                 )
+                # 🟢 NEW: Peer-to-Peer Translation Endpoint
+                api_btn_translate = gr.Button()
+                api_translate_text_in = gr.Textbox()
+                api_translate_source_in = gr.Textbox()
+                api_translate_target_in = gr.Textbox()
+                api_translate_out = gr.Textbox()
+                api_btn_translate.click(
+                    fn=self.api_translate_peer, 
+                    inputs=[api_translate_text_in, api_translate_source_in, api_translate_target_in], 
+                    outputs=[api_translate_out], 
+                    api_name="translate_peer"
+                )
             # ⬆️ END OF API BRIDGE ⬆️
 
         return ui