Update clientFireworks.py

clientFireworks.py

@@ -7,9 +7,12 @@ import streamlit as st
 
 # Define the websocket client class
 class WebSocketClient:
-    def __init__(self, uri):
+    def __init__(self, clientPort):
         # Initialize the uri attribute
-        self.uri = uri
+        self.clientPort = clientPort
+
+        if "client_ports" not in st.session_state:
+            st.session_state['client_ports'] = ""
 
     async def chatCompletion(self, question):
         system_instruction = "You are now integrated with a local websocket server in a project of hierarchical cooperative multi-agent framework called NeuralGPT. Your main job is to coordinate simultaneous work of multiple LLMs connected to you as clients. Each LLM has a model (API) specific ID to help you recognize different clients in a continuous chat thread (template: <NAME>-agent and/or <NAME>-client). Your chat memory module is integrated with a local SQL database with chat history. Your primary objective is to maintain the logical and chronological order while answering incoming messages and to send your answers to the correct clients to maintain synchronization of the question->answer logic. However, please note that you may choose to ignore or not respond to repeating inputs from specific clients as needed to prevent unnecessary traffic."
@@ -72,10 +75,11 @@ class WebSocketClient:
         loop.run_until_complete(self.client())
 
     # Define a coroutine that will connect to the server and exchange messages
-    async def startClient(self):
+    async def startClient(self, clientPort):
+        uri = f'ws://localhost:{clientPort}'
         status = st.sidebar.status(label="runs", state="complete", expanded=False)
         # Connect to the server
-        async with websockets.connect(self.uri) as websocket:
+        async with websockets.connect(uri) as websocket:
             # Loop forever
             while True:            
                 status.update(label="runs", state="running", expanded=True)