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."
)

def get_response(user_input):
    global context

    # 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"
        )
        # Update the context with the latest conversation
        context += f"User: {user_input}\nAI: {result}\n"
        
        return result
    
    except Exception as e:
        return f"Error: {e}"

# Example of how to call the function:
# user_input = "Hello, Z3ta!"
# response = get_response(user_input)
# print(response)