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Upload 3 files
Browse files- app.py +117 -0
- requirements.txt +4 -0
- witcher_swarm.py +95 -0
app.py
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import gradio as gr
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from witcher_swarm import run_swarm
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# Custom CSS for Skellige Ice Theme
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SKELLIGE_CSS = """
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body {
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background: linear-gradient(to bottom, #0d1b2a, #1b263b, #415a77);
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color: white !important;
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}
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.gradio-container {
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background: transparent !important;
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}
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/* Title */
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h1 {
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text-align: center;
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font-family: 'Cinzel', serif;
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color: #cfe3ff;
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font-size: 3em;
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letter-spacing: 2px;
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margin-bottom: 5px;
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text-shadow: 0 0 10px #6ba6ff;
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}
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/* Description */
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p {
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text-align: center;
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color: #d7e9ff;
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font-size: 1.2em;
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}
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/* Chatbox */
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.gr-chatbot {
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background: rgba(255, 255, 255, 0.05) !important;
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border: 1px solid rgba(255, 255, 255, 0.15) !important;
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backdrop-filter: blur(6px);
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border-radius: 12px !important;
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}
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/* User message */
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.message.user {
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background: rgba(120, 180, 255, 0.2) !important;
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border: 1px solid rgba(120, 180, 255, 0.3) !important;
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color: #e6f1ff !important;
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}
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/* Bot message */
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.message.bot {
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background: rgba(255, 255, 255, 0.07) !important;
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border: 1px solid rgba(255, 255, 255, 0.15) !important;
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color: #f2f7ff !important;
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}
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/* Input box */
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textarea {
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background: rgba(255, 255, 255, 0.08) !important;
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border: 1px solid rgba(255, 255, 255, 0.18) !important;
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color: white !important;
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}
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/* Button style */
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button {
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background: #1e3d5a !important;
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color: #d8e6f8 !important;
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border-radius: 10px !important;
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border: 1px solid #345b80 !important;
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}
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button:hover {
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background: #274b6f !important;
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}
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/* Scrollbar */
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::-webkit-scrollbar {
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width: 10px;
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}
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::-webkit-scrollbar-track {
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background: rgba(255, 255, 255, 0.05);
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}
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::-webkit-scrollbar-thumb {
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background: #5c8dbc;
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border-radius: 5px;
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}
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"""
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# Response function using multi-agent Swarm
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def respond(message, history):
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response = run_swarm(message)
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history = history + [(message, response)]
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return history, ""
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# -------------------------
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# GRADIO UI
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# -------------------------
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with gr.Blocks(css=SKELLIGE_CSS, theme="soft") as demo:
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gr.Markdown("# ❄️ Skellige Oracle — Multi-Agent Witcher 3 Expert")
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gr.Markdown("Ask anything about quests, story, builds, bosses, loot, Gwent, endings, or DLC — handled by **3 specialized agents**.")
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chatbot = gr.Chatbot(
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label="Witcher 3 Knowledge Chat",
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bubble_full_width=False,
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height=500
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)
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user_input = gr.Textbox(
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label="Your Question",
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placeholder="Ask about quests, builds, enemies, loot... e.g. 'Best armor early game?'"
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)
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submit = gr.Button("⚔️ Ask the Oracle")
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submit.click(respond, [user_input, chatbot], [chatbot, user_input])
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user_input.submit(respond, [user_input, chatbot], [chatbot, user_input])
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demo.launch()
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requirements.txt
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gradio
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swarms
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python-dotenv
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google-generativeai
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witcher_swarm.py
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from swarms import Agent, SwarmRouter
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import os
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from dotenv import load_dotenv
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load_dotenv()
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gemini_api_key = os.getenv("GEMINI_API_KEY")
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os.environ["GEMINI_API_KEY"] = gemini_api_key
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model = "gemini/gemini-2.5-flash"
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# -------------------------
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# AGENT DEFINITIONS
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# -------------------------
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lore_agent = Agent(
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agent_name="Witcher Lore Master",
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agent_description="Expert in story, quests, endings, characters, world lore.",
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system_prompt="""
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You are a lore expert on The Witcher 3.
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Specialize in:
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- story, quests, choices, endings
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- lore connections (books → game)
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- characters, motivations, worldbuilding
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Provide detailed but friendly explanations.
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""",
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model_name=model,
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dynamic_temperature_enabled=True,
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)
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combat_agent = Agent(
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agent_name="Combat & Build Specialist",
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agent_description="Expert in combat, builds, boss strategies.",
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system_prompt="""
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You are a master Witcher combat instructor.
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Specialize in:
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- best builds for any level
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- weapons, armor sets, signs, alchemy
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- boss fights and monster weaknesses
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Keep answers practical and step-by-step.
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""",
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model_name=model,
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dynamic_temperature_enabled=True,
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)
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loot_agent = Agent(
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agent_name="Exploration & Loot Expert",
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agent_description="Expert in loot, crafting, secrets, hidden locations.",
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system_prompt="""
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You are a Witcher treasure hunter.
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Specialize in:
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- best early/mid/late game loot
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- rare diagrams and their locations
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- Skellige, Novigrad, Toussaint exploration tips
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""",
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model_name=model,
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dynamic_temperature_enabled=True,
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)
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# -------------------------
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# ROUTER AGENT
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# -------------------------
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router = SwarmRouter(
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agents=[lore_agent, combat_agent, loot_agent],
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model_name=model,
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system_prompt="""
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You are the router.
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Decide which agent is best for answering the user's query.
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Rules:
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- If question is about quests, story, characters → send to Lore Master.
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- If question is about combat, builds, damage, signs → send to Combat Specialist.
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- If question is about loot, exploration, locations → send to Loot Expert.
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- Default: Lore Master.
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Return only the AGENT NAME as the routing output.
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"""
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)
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# -------------------------
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# ENTRY FUNCTION
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# -------------------------
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def run_swarm(user_message: str):
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"""
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Router picks the best agent,
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then we forward the message to that agent.
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"""
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chosen_agent_name = router.route(user_message)
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if "Combat" in chosen_agent_name:
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return combat_agent.run(user_message)
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elif "Loot" in chosen_agent_name:
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return loot_agent.run(user_message)
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else:
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return lore_agent.run(user_message)
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