even more demo cleanup, making run_llm play well with asyncio

src/dailyai/services/azure_ai_services.py

@@ -84,7 +84,7 @@ class AzureLLMService(LLMService):
         messages_for_log = json.dumps(messages)
         self.logger.debug(f"Generating chat via azure: {messages_for_log}")
 
-        response = self.get_response(messages, stream=False)
+        response = await asyncio.to_thread(self.get_response, messages, False)
         if response and len(response.choices) > 0:
             return response.choices[0].message.content
         else:

src/dailyai/services/daily_transport_service.py

@@ -212,11 +212,13 @@ class DailyTransportService(EventHandler):
         try:
             while not self.stop_threads.is_set():
                 if self.image:
+                    print("rendering image")
                     self.camera.write_frame(self.image)
 
-                time.sleep(1.0 / 8.0)  # 8 fps
+                time.sleep(1.0 / 24)  # 24 fps
         except Exception as e:
             self.logger.error(f"Exception {e} in camera thread.")
+        print("exiting run_camera thread")
 
     def frame_consumer(self):
         self.logger.info("🎬 Starting frame consumer thread")