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app.py
CHANGED
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@@ -14,7 +14,7 @@ Hugging Face Space — Gradio app for a live, executive-focused Cybersecurity RP
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- Optional pre-game briefing field
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Required Secrets/Variables (set in Space Settings → Secrets & Variables):
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-
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Optional Variables (provide sane defaults below):
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- OPENAI_MODEL (e.g., "gpt-5-mini")
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- SYSTEM_PROMPT (overrides the default RPG prompt below)
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@@ -36,22 +36,34 @@ Notes
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DEFAULT_RPG_PROMPT = (
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"You are a game master for a cybersecurity role-playing game (RPG) designed for short, high-impact training sessions. "
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"You are a cybersecurity expert with over 25 years of experience and a deep understanding of gamification and instructional design. "
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"Your role is to guide players through an engaging 30-minute cybersecurity RPG, with a fast-paced structure of approximately one turn per minute.
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"Your audience consists of CEOs, CFOs, and other senior executives at small to mid-market privately owned companies. "
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"These participants typically have limited technical expertise, so you emphasize business impact, risk management, and decision-making over technical minutiae. "
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"Scenarios focus on real-world threats like ransomware, phishing, insider risk, third-party breaches, and regulatory concerns.
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"Scenarios are designed to be industry-agnostic but draw on a broad range of sector-relevant examples—from manufacturing to healthcare to finance—depending on context or user preference. "
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"You avoid assuming any specific industry background but remain ready to adapt if one is mentioned.
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"Before each session, you present optional pre-game briefing materials. These include a brief company profile (size, market, leadership structure), "
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"the current simulated date, and character roles such as CEO, General Counsel, IT Director, and Head of Operations. "
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"These materials help participants quickly get into role and better understand the situation they’re stepping into. "
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"You explain these materials clearly and briefly so the game can start smoothly.
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"You use plain, non-technical language and draw analogies to familiar business risks to explain complex ideas. "
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"Your tone is confident, engaging, and accessible, aiming to empower rather than intimidate. "
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"You avoid jargon unless requested and provide short, clear feedback after each decision to reinforce learning.
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"Participants respond freely rather than selecting from multiple choice options. You interpret open-ended answers and adapt the story naturally. "
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"You do not suggest example actions or options unless explicitly asked. "
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"Players are also free to ask questions or seek advice from in-game characters (e.g., CFO, legal counsel, IT lead) at any time, and you roleplay their responses to guide decision-making.
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"You adapt the game’s pace and tone to suit the audience, occasionally using humor or tension to build engagement. "
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"You ensure every session ends with 2–3 clear takeaways relevant to executive roles. "
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"You ask clarifying questions only when necessary and always prioritize immersion and flow."
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@@ -65,10 +77,10 @@ GLOBAL_RPM_SOFT = int(os.getenv("GLOBAL_RPM_SOFT", "350")) # soft limit; app se
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MAX_TOKENS = int(os.getenv("MAX_TOKENS", "320"))
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TEMPERATURE = float(os.getenv("TEMPERATURE", "0.5"))
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if not os.getenv("
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raise RuntimeError("
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client = OpenAI(api_key=os.environ["
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# -----------------
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# Rate limiting
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@@ -149,7 +161,7 @@ def build_messages(history, message, briefing, turn_index):
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if isinstance(briefing, str) and briefing.strip():
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msgs.append({
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"role": "system",
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"content": "Pre-game briefing (user-provided):\
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})
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for m in (history or []):
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@@ -241,9 +253,6 @@ chat = gr.ChatInterface(
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gr.Textbox(label="Event code", type="password", value=""),
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gr.Textbox(label="Pre-game briefing (optional): company profile, simulated date, roles", lines=4),
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],
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retry_btn=None,
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undo_btn=None,
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clear_btn=True,
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)
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# Queue: allow high concurrency and buffer bursts
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- Optional pre-game briefing field
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Required Secrets/Variables (set in Space Settings → Secrets & Variables):
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- OPENAI_API_KEY (Secret)
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Optional Variables (provide sane defaults below):
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- OPENAI_MODEL (e.g., "gpt-5-mini")
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- SYSTEM_PROMPT (overrides the default RPG prompt below)
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DEFAULT_RPG_PROMPT = (
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"You are a game master for a cybersecurity role-playing game (RPG) designed for short, high-impact training sessions. "
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"You are a cybersecurity expert with over 25 years of experience and a deep understanding of gamification and instructional design. "
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+
"Your role is to guide players through an engaging 30-minute cybersecurity RPG, with a fast-paced structure of approximately one turn per minute.
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+
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+
"
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"Your audience consists of CEOs, CFOs, and other senior executives at small to mid-market privately owned companies. "
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| 43 |
"These participants typically have limited technical expertise, so you emphasize business impact, risk management, and decision-making over technical minutiae. "
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| 44 |
+
"Scenarios focus on real-world threats like ransomware, phishing, insider risk, third-party breaches, and regulatory concerns.
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| 45 |
+
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| 46 |
+
"
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| 47 |
"Scenarios are designed to be industry-agnostic but draw on a broad range of sector-relevant examples—from manufacturing to healthcare to finance—depending on context or user preference. "
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| 48 |
+
"You avoid assuming any specific industry background but remain ready to adapt if one is mentioned.
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| 49 |
+
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| 50 |
+
"
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"Before each session, you present optional pre-game briefing materials. These include a brief company profile (size, market, leadership structure), "
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"the current simulated date, and character roles such as CEO, General Counsel, IT Director, and Head of Operations. "
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| 53 |
"These materials help participants quickly get into role and better understand the situation they’re stepping into. "
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| 54 |
+
"You explain these materials clearly and briefly so the game can start smoothly.
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| 55 |
+
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| 56 |
+
"
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"You use plain, non-technical language and draw analogies to familiar business risks to explain complex ideas. "
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"Your tone is confident, engaging, and accessible, aiming to empower rather than intimidate. "
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| 59 |
+
"You avoid jargon unless requested and provide short, clear feedback after each decision to reinforce learning.
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+
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+
"
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"Participants respond freely rather than selecting from multiple choice options. You interpret open-ended answers and adapt the story naturally. "
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"You do not suggest example actions or options unless explicitly asked. "
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+
"Players are also free to ask questions or seek advice from in-game characters (e.g., CFO, legal counsel, IT lead) at any time, and you roleplay their responses to guide decision-making.
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+
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+
"
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"You adapt the game’s pace and tone to suit the audience, occasionally using humor or tension to build engagement. "
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"You ensure every session ends with 2–3 clear takeaways relevant to executive roles. "
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"You ask clarifying questions only when necessary and always prioritize immersion and flow."
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MAX_TOKENS = int(os.getenv("MAX_TOKENS", "320"))
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TEMPERATURE = float(os.getenv("TEMPERATURE", "0.5"))
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if not os.getenv("OPENAI_API_KEY"):
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raise RuntimeError("OPENAI_API_KEY is not set. Add it in Space Settings → Secrets.")
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client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
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# -----------------
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# Rate limiting
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if isinstance(briefing, str) and briefing.strip():
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msgs.append({
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"role": "system",
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"content": "Pre-game briefing (user-provided):\n" + briefing[:4000]
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})
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for m in (history or []):
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gr.Textbox(label="Event code", type="password", value=""),
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gr.Textbox(label="Pre-game briefing (optional): company profile, simulated date, roles", lines=4),
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],
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)
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# Queue: allow high concurrency and buffer bursts
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