import gradio as gr
from agents.philosopher import PhilosopherAgent
from agents.historian import HistorianAgent
from agents.hacker import HackerAgent
from agents.comedian import ComedianAgent
from agents.lawyer import LawyerAgent
from agents.scientist import ScientistAgent
from agents.journalist import JournalistAgent
from agents.trader import TraderAgent
from agents.base_agent import ACPMessage

# ✅ Initialize agents
all_agents = [
    PhilosopherAgent(),
    HistorianAgent(),
    HackerAgent(),
    ComedianAgent(),
    LawyerAgent(),
    ScientistAgent(),
    JournalistAgent(),
    TraderAgent()
]

agent_map = {agent.name: agent for agent in all_agents}

# ✅ Core chat function
def chat(prompt, selected_agents):
    responses = {}
    for name in selected_agents:
        agent = agent_map.get(name)
        try:
            output = agent.generate([ACPMessage(role="user", content=prompt)])
        except Exception as e:
            output = f"[ERROR: {e}]"
        responses[name] = output
    return [responses]  # must return list

# ✅ Interface
demo = gr.Interface(
    fn=chat,
    inputs=[
        gr.Textbox(label="Prompt"),
        gr.CheckboxGroup(
            choices=list(agent_map.keys()),
            label="Agents",
            value=list(agent_map.keys())  # default select all
        )
    ],
    outputs=gr.JSON(label="Responses"),
    live=False,
    title="PerspectiveAI Backend API"
)

# ✅ Launch ONLY in API mode
demo.launch(
    server_name="0.0.0.0",
    server_port=7860,
    show_api=True,  # 🔥 Enables /run/predict
    share=False      # Optional
)