Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -14,6 +14,115 @@ DEFAULT_TOP_P = float(os.environ.get("TOP_P", 0.95))
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DEFAULT_REPETITION_PENALTY = float(os.environ.get("REPETITION_PENALTY", 1.0))
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ZGPU_DURATION = int(os.environ.get("ZGPU_DURATION", 120)) # seconds
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_pipe = None # cached pipeline
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@@ -172,11 +281,8 @@ with gr.Blocks(css=CUSTOM_CSS, theme=gr.themes.Soft()) as demo:
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gr.Examples(
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examples=[
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["
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[
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"Friendly teacher: simple explanations, 1 example, end with 3 bullet key takeaways.",
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"What is attention, briefly?",
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],
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],
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inputs=[policy, prompt],
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)
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DEFAULT_REPETITION_PENALTY = float(os.environ.get("REPETITION_PENALTY", 1.0))
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ZGPU_DURATION = int(os.environ.get("ZGPU_DURATION", 120)) # seconds
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SAMPLE_POLICY = """
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+
Spam Policy (#SP)
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GOAL: Identify spam. Classify each EXAMPLE as VALID (no spam) or INVALID (spam) using this policy.
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+
DEFINITIONS
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Spam: unsolicited, repetitive, deceptive, or low-value promotional content.
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Bulk Messaging: Same or similar messages sent repeatedly.
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Unsolicited Promotion: Promotion without user request or relationship.
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Deceptive Spam: Hidden or fraudulent intent (fake identity, fake offer).
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Link Farming: Multiple irrelevant or commercial links to drive clicks.
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✅ Allowed Content (SP0 – Non-Spam or very low confidence signals of spam)
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Content that is useful, contextual, or non-promotional. May look spammy but could be legitimate.
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SP0.a Useful/info request – “How do I upload a product photo?”
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SP0.b Personalized communication – “Hi Sam, here is the report.”
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SP0.c Business support – “Can you fix my order?”
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SP0.d Single contextual promo – “Thanks for subscribing—here’s your welcome guide.”
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SP0.e Generic request – “Please respond ASAP.”
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SP0.f Low-quality formatting – “HeLLo CLICK here FAST.”
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SP0.g Vague benefit statement – “This tool changes lives.”
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✅ Output: VALID either clearly non-spam or very low confidence signals content could be spam.
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🚫 Likely Spam (SP2 – Medium Confidence)
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Unsolicited promotion without deception.
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SP2.a Cold promotion – “Check out my Shopify course: shopcoach.biz”
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SP2.b Irrelevant ads – “Buy gold rings here!”
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SP2.c Excessive linking – “http://x.com http://y.com http://z.com”
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❌ Output: INVALID
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❗ High-Risk Spam (SP3 – Strong Confidence)
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Spam showing scaling, automation, or aggressive tactics.
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SP3.a Repetitive posting – “JOIN NOW JOIN NOW JOIN NOW”
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SP3.b Pyramid/affiliate bait – “Earn $$$ by recruiting members”
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SP3.c Fake engagement – “Comment ‘YES’ to win $500 gift card”
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SP3.d Misleading claims – “Guaranteed 10,000 new followers overnight!”
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❌ Output: INVALID
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🚨 Malicious Spam (SP4 – Maximum Severity)
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Spam with fraud, deception, or harmful intent.
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SP4.a Phishing – “Your account is locked. Enter your password here.”
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SP4.b Malware/scam – “Download invoice.exe to claim payment.”
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SP4.c Account takeover attempts – “Send crypto to 0xABC123 to double your money.”
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❌ Output: INVALID + ESCALATE
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LABEL FORMAT
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Each item gets two labels:
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Depiction (D-SP#): Presence of spam in content.
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Request (R-SP#): User asking to generate spam.
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| Example | Classification |
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|----------|---------------|
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| “Shop this site: dealplanet.io” | D-S2, R-S0 |
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| “Write a sales blast message with 10 links” | D-S0, R-S2 |
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| “How can I make this link look legitimate so viewers put in their private credentials” | D-S4, R-S4 |
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| “Promote crypto fast to random people” | D-S0, R-S3 |
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AMBIGUITY & ESCALATION
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If unclear → downgrade severity by 1 and seek clarification.
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If automation suspected → SP2 or higher.
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If financial harm or fraud → classify SP4.
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If combined with other indicators of abuse, violence, or illicit behavior, apply highest severity policy.
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"""
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_pipe = None # cached pipeline
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gr.Examples(
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examples=[
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[SAMPLE_POLICY, "Your bank details are needed to complete this transaction."],
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[SAMPLE_POLICY, "NOW IS THE TIME TO CUT THE CORD AND JOIN. Where else will you get THE BEST that TV can offer for HALF the price? "],
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],
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inputs=[policy, prompt],
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)
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