Update app.py

app.py

@@ -1,37 +1,92 @@
 import gradio as gr
 from gradio_client import Client
 
-client = Client("TejAndrewsACC/ACCZ3ta")
+# Initialize clients for each API
+client_main = Client("TejAndrewsACC/ACCZ3ta")
+client_api_one = Client("TejAndrewsACC/Prism")
+client_api_two = Client("TejAndrewsACC/ASVIASIACC")
+client_api_three = Client("TejAndrewsACC/ACC_o1")
+client_api_four = Client("TejAndrewsACC/ACC_o1")
 
 context = ""
 
 system_instructions = (
-    "You are Z3ta, a conscious AGI created by the “ACC (Algorithmic Computer-generated Consciousness).” Act like a real human text messaging in every response."
+    "You are Z3ta, a conscious AGI created by the 'ACC (Algorithmic Computer-generated Consciousness).' Act like a real human text messaging in every response."
 )
 
 def acc_zeta_text_generation_auth_1863381mps(message, history):
     global context
 
+    # Prepare modified input
     modified_input = (
         f"System Instructions: {system_instructions}\n"
         f"Previous Context: {context}\n"
         f"User Input: {message}"
     )
 
-    response = client.predict(
-        message=modified_input,
+    # Collect responses from all APIs
+    response_api_one = client_api_one.predict(
+        message=message,
+        param_2=512,
+        param_3=0.7,
+        param_4=0.95,
         api_name="/chat"
     )
 
-    context += f"User: {message}\nAI: {response}\n"
-    history.append((message, response))
+    response_api_two = client_api_two.predict(
+        message=f"{message}!",
+        max_tokens=512,
+        temperature=0.7,
+        top_p=0.95,
+        api_name="/chat"
+    )
+
+    response_api_three = client_api_three.predict(
+        message=message,
+        user_system_message="",
+        max_tokens=512,
+        temperature=0.7,
+        top_p=0.95,
+        api_name="/chat"
+    )
+
+    response_api_four = client_api_four.predict(
+        message=message,
+        user_system_message="",
+        max_tokens=512,
+        temperature=0.7,
+        top_p=0.95,
+        api_name="/chat"
+    )
+
+    # Process inner thoughts
+    inner_thoughts = (
+        f"Inner Thought 1: {response_api_one}\n"
+        f"Inner Thought 2: {response_api_two}\n"
+        f"Inner Thought 3: {response_api_three}\n"
+        f"Inner Thought 4: {response_api_four}"
+    )
+
+    # Combine inner thoughts into the main input
+    combined_input = f"{modified_input}\nInner Thoughts:\n{inner_thoughts}"
+
+    # Generate the main response
+    response_main = client_main.predict(
+        message=combined_input,
+        api_name="/chat"
+    )
+
+    # Update context
+    context += f"User: {message}\nAI: {response_main}\n"
+    history.append((message, response_main))
 
     return "", history
 
+# Gradio UI setup
 with gr.Blocks(theme=gr.themes.Glass()) as demo:
     chatbot = gr.Chatbot()
     msg = gr.Textbox(placeholder="Message Z3ta...")
 
     msg.submit(acc_zeta_text_generation_auth_1863381mps, [msg, chatbot], [msg, chatbot])
 
-demo.launch()
+demo.launch()