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} # ✅ Function to be called from frontend or Replit 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 requires return as a 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()) # ✅ All selected by default ) ], 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; } """ ) iface.launch()