Update app.py

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 from gradio_client import Client
 import spaces
-import time
 
 # Initialize clients for each API
 client_main = Client("TejAndrewsACC/ACCZ3ta")
@@ -18,19 +17,14 @@ system_instructions = (
     "the previous context of the conversation, and your four inner thoughts which you are supposed to consider "
     "when generating your response to the user input, which will also be given to you. Ensure that you consider each inner thought you have."
 )
-
 @spaces.GPU
-def nyxion_consciousness(message, history, user_id, status):
+def nyxion_consciousness(message, history, user_id):
     global context
 
     # Ensure context is initialized for the user if not already
     if user_id not in context:
         context[user_id] = ""
 
-    # Step 1: Typing
-    status.update("<p>✍️ Typing...</p>")
-    time.sleep(1)  # Simulate typing delay
-
     # Prepare modified input with system instructions and context
     modified_input = (
         f"System Instructions: {system_instructions}\n"
@@ -41,10 +35,6 @@ def nyxion_consciousness(message, history, user_id, status):
     # Pass the full conversation history to each API
     full_conversation = "\n".join([f"User: {msg}\nAI: {resp}" for msg, resp in history])
 
-    # Step 2: Processing
-    status.update("<p>⚙️ Processing...</p>")
-    time.sleep(1)  # Simulate processing delay
-
     # Collect responses from all APIs with the full conversation history
     response_api_one = client_api_one.predict(
         message=f"{full_conversation}\nUser: {message}",
@@ -80,14 +70,6 @@ def nyxion_consciousness(message, history, user_id, status):
         api_name="/chat"
     )
 
-    # Step 3: Interpreting
-    status.update("<p>🔍 Interpreting...</p>")
-    time.sleep(1)  # Simulate interpreting delay
-
-    # Step 4: Thinking
-    status.update("<p>🤔 Thinking...</p>")
-    time.sleep(1)  # Simulate thinking delay
-
     # Label the inner thoughts with their respective sources
     inner_thoughts = (
         f"Inner Thought 1 (from Prism): {response_api_one}\n"
@@ -99,10 +81,6 @@ def nyxion_consciousness(message, history, user_id, status):
     # Combine the inner thoughts and other input into the final input for the main system
     combined_input = f"{modified_input}\nInner Thoughts:\n{inner_thoughts}"
 
-    # Step 5: Finalizing Response
-    status.update("<p>⚡ Working...</p>")
-    time.sleep(1)  # Simulate finalizing response
-
     # Generate the main response
     response_main = client_main.predict(
         message=combined_input,
@@ -115,8 +93,8 @@ def nyxion_consciousness(message, history, user_id, status):
     # Update history to include this interaction
     history.append((message, response_main))
 
-    # Return the cleared message field, updated conversation history, and status
-    return "", history, status
+    # Return the cleared message field and updated conversation history
+    return "", history
 
 # Gradio UI setup
 with gr.Blocks(theme=gr.themes.Glass()) as demo:
@@ -124,10 +102,7 @@ with gr.Blocks(theme=gr.themes.Glass()) as demo:
     msg = gr.Textbox(placeholder="Message Nyxion-7V...")
     user_id = gr.State()  # to store the user-specific ID
 
-    # Status message placeholder for dynamic updates
-    status_message = gr.HTML("<p>⏳ Awaiting input...</p>")
-
     # On message submit, call the function to process the input and provide a response
-    msg.submit(nyxion_consciousness, [msg, chatbot, user_id, status_message], [msg, chatbot, status_message])
+    msg.submit(nyxion_consciousness, [msg, chatbot, user_id], [msg, chatbot])
 
-demo.launch()
+demo.launch()