Update app.py

app.py

@@ -46,7 +46,12 @@ from langchain.agents import (
     AgentType,
     AgentExecutor,
 )
-          
+
+GOOGLE_CSE_ID = os.getenv("GOOGLE_CSE_ID")
+GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+FIREWORKS_API_KEY = os.getenv("FIREWORKS_API_KEY")
+FIREWORKS_API_KEY1 = os.getenv("FIREWORKS_API_KEY1")
+
 class BaseCallbackHandler:
     """Base callback handler that can be used to handle callbacks from langchain."""
 
@@ -59,10 +64,6 @@ client_ports = []
 
 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."
 
-GOOGLE_CSE_ID = "f3882ab3b67cc4923"
-GOOGLE_API_KEY = "AIzaSyBNvtKE35EAeYO-ECQlQoZO01RSHWhfIws"
-FIREWORKS_API_KEY = "xbwGxyTyOf7ats2GcEU0Pj62kpZBVZa2r6i5lKbKG99LFG38"
-
 client = Client()
 
 output_parser = CommaSeparatedListOutputParser
@@ -649,14 +650,12 @@ with gr.Blocks() as demo:
                 server_msg = gr.Textbox(lines=15, max_lines=130, label="Server responses", interactive=False)                       
             with gr.Row():
                 userInput = gr.Textbox(label="User Input")
+            with gr.Row():   
+                conver = gr.Button("conversation")
+                Chatus = gr.Button("Ask with 'chat completion'")            
             with gr.Row():    
                 askQestion = gr.Button("Ask chat/conversational node")
                 askAgento = gr.Button("Execute agent")
-            with gr.Row():   
-                multiMed = gr.Button("Multimed") 
-                PDF = gr.Button("Ask PDF") 
-                conver = gr.Button("conversation")
-                Chatus = gr.Button("Ask with 'chat completion'")
             with gr.Row():
                 websocketPort = gr.Slider(minimum=1000, maximum=9999, label="Websocket server port", interactive=True, randomize=False)
                 startServer = gr.Button("Start WebSocket Server")