from fastapi import FastAPI
import gradio as gr
from orchestrator import run_agents
from memory import init_memory

app = FastAPI()
memory = init_memory()

def agent_interface(goal):
    return run_agents(goal, memory)

gr_interface = gr.Interface(
    fn=agent_interface,
    inputs=gr.Textbox(lines=2, placeholder="Describe your task...", label="Your Task"),
    outputs=gr.Textbox(lines=20, label="Multi-Agent Output"),
    title="🧠 Multi-Agent Autonomous AI System",
    description="Planner → Executor → Critic | Contextual Memory | Logs | Expandable AI System"
)

gr.mount_gradio_app(app, gr_interface, path="/gradio")

@app.get("/")
def root():
    return {"message": "Multi-Agent AI system with logging and memory."}