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 all 8 agents
all_agents = [
    PhilosopherAgent(),
    HistorianAgent(),
    HackerAgent(),
    ComedianAgent(),
    LawyerAgent(),
    ScientistAgent(),
    JournalistAgent(),
    TraderAgent()
]

# ✅ Map name to agent
agent_map = {agent.name: agent for agent in all_agents}


# ✅ Core response 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)])
            if isinstance(output, list):  # Handle output like [msg]
                output = output[0]
        except Exception as e:
            output = f"[ERROR: {e}]"
        responses[name] = output

    return [responses]  # ✅ Must return list for Gradio API format
    # That results in: { "data": [ { "Philosopher": "...", ... } ] }


# ✅ Interface for direct testing/debugging (optional if using just API)
iface = gr.Interface(
    fn=chat,
    inputs=[
        gr.Textbox(
            label="Ask Anything",
            lines=4,
            placeholder="Ask your question here...",
            elem_id="chat-input"
        ),
        gr.CheckboxGroup(
            choices=list(agent_map.keys()),
            label="Choose Which Personalities to Ask",
            value=list(agent_map.keys())  # ✅ default: all selected
        )
    ],
    outputs=gr.JSON(label="Responses"),
    title="PerspectiveAI",
    description=(
        "🤖 Ask your question and receive multi-agent wisdom.\n\n"
        "Created by Aymn · [GitHub](https://github.com/aymnsk) · "
        "[Instagram](https://instagram.com/damnn_aymn)"
    ),
    theme=gr.themes.Soft(
        primary_hue="blue",
        secondary_hue="gray",
        font=[gr.themes.GoogleFont("Inter")],
        radius_size=gr.themes.sizes.radius_md,
        spacing_size=gr.themes.sizes.spacing_md
    ),
    css="""
        #chat-input textarea {
            font-size: 1.1rem;
            padding: 12px;
            background: #1e1e2f;
            color: white;
            border-radius: 12px;
        }
        body {
            background-color: #111827;
            color: white;
            font-family: 'Inter', sans-serif;
        }
        .gr-box {
            border: none;
        }
    """
)

# ✅ Launch Gradio — allow API call via /run/predict
iface.launch()