app.py

# app.py

import gradio as gr
from multi_inference import multi_query as deepseek_query

from agents.philosopher import PhilosopherAgent
from agents.historian import HistorianAgent
from agents.hacker import HackerAgent
from agents.comedian import ComedianAgent

# Initialize agent classes
philosopher = PhilosopherAgent()
historian = HistorianAgent()
hacker = HackerAgent()
comedian = ComedianAgent()

# Chat function
def chat(prompt):
    responses = {}
    responses["🧙‍♂️ Philosopher"] = philosopher.run(prompt, deepseek_query)
    responses["👨‍🏫 Historian"] = historian.run(prompt, deepseek_query)
    responses["💻 Hacker"] = hacker.run(prompt, deepseek_query)
    responses["🎭 Comedian"] = comedian.run(prompt, deepseek_query)
    return responses

# Gradio UI setup
demo = gr.Interface(
    fn=chat,
    inputs=gr.Textbox(label="Ask a Question"),
    outputs=gr.JSON(label="Agent Responses"),
    title="🧠 Multi-Agent AI Chatroom",
    description="Ask anything. Each AI agent gives a unique answer!"
)

# Only launch if run directly (used by Hugging Face too)
if __name__ == "__main__":
    demo.launch()