app.py

from gradio_client import Client

# Initialize the client
client = Client("TejAndrewsACC/erwf")

# Persistent context storage
context = ""

# System instructions
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."
)

while True:
    # Get user input
    user_input = input("User: ")
    
    # If the user types "exit," end the chat session
    if user_input.lower() == "exit":
        print("Ending session. Goodbye!")
        break

    # Construct the modified input including system instructions and context
    modified_input = (
        f"System Instructions: {system_instructions}\n"
        f"Previous Context: {context}\n"
        f"User Input: {user_input}"
    )
    
    try:
        # Get the AI's response
        result = client.predict(
            message=modified_input,
            api_name="/chat"
        )
        # Print the result
        print(f"Z3ta: {result}")
        
        # Update the context with the latest conversation
        context += f"User: {user_input}\nAI: {result}\n"
    
    except Exception as e:
        print(f"Error: {e}")
        break