app.py

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}

# ✅ Main 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]  # ✅ Gradio API requires list

# ✅ Gradio Interface
iface = gr.Interface(
    fn=chat,
    inputs=[
        gr.Textbox(
            label="Ask Anything",
            lines=4,
            placeholder="Ask your question here..."
        ),
        gr.CheckboxGroup(
            choices=list(agent_map.keys()),
            label="Choose Which Personalities to Ask",
            value=list(agent_map.keys())
        )
    ],
    outputs=gr.JSON(label="Responses"),
    title="PerspectiveAI",
    description="Ask a question, get 8 expert AI perspectives.",
    theme=gr.themes.Soft()
)

# ✅ Launch (no ssr anymore!)
iface.launch(
    server_name="0.0.0.0",
    server_port=7860,
    show_api=True
)