v0 of user rolled AI

simple_conversation.py

@@ -5,24 +5,16 @@ import signal
 from vocode.conversation import Conversation
 from vocode.helpers import create_microphone_input_and_speaker_output
 from vocode.models.transcriber import DeepgramTranscriberConfig
-from vocode.models.agent import ChatGPTAgentConfig, RESTfulUserImplementedAgentConfig
+from vocode.models.agent import ChatGPTAgentConfig, RESTfulUserImplementedAgentConfig, WebSocketUserImplementedAgentConfig
 from vocode.models.synthesizer import AzureSynthesizerConfig
 from vocode.user_implemented_agent.restful_agent import RESTfulAgent
 
 logging.basicConfig()
 logging.root.setLevel(logging.INFO)
 
-class EchoAgent(RESTfulAgent):
-
-    async def respond(self, input: str) -> str:
-        return input
 
 if __name__ == "__main__":
-    import threading
-
     microphone_input, speaker_output = create_microphone_input_and_speaker_output(use_first_available_device=False)
-    user_agent_thread = threading.Thread(target=EchoAgent().run)
-    user_agent_thread.start()
 
     conversation = Conversation(
         input_device=microphone_input,
@@ -32,7 +24,7 @@ if __name__ == "__main__":
             initial_message="Hello!",
             generate_responses=False,
             respond=RESTfulUserImplementedAgentConfig.EndpointConfig(
-                url="http://localhost:3001/respond",
+                url="http://a6eb64f4a9b7.ngrok.io/respond",
                 method="POST"
             )
         ),
@@ -40,5 +32,4 @@ if __name__ == "__main__":
     )
     signal.signal(signal.SIGINT, lambda _0, _1: conversation.deactivate())
     asyncio.run(conversation.start())
-    user_agent_thread.join()