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Update app.py
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app.py
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@@ -1,16 +1,14 @@
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"""
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Sloth — AI Workforce Intelligence Demo
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Hugging Face Spaces
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2. CONNECTED — if SLOTH_BACKEND_URL is set, calls your private backend (real engine)
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"""
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import gradio as gr
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import requests
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import os
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import json
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import datetime
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import random
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@@ -18,7 +16,6 @@ BACKEND_URL = os.environ.get("SLOTH_BACKEND_URL", "").strip()
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API_TOKEN = os.environ.get("SLOTH_API_TOKEN", "sloth-demo-token-2025")
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HEADERS = {"Authorization": f"Bearer {API_TOKEN}", "Content-Type": "application/json"}
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# ── Built-in demo data (used when no backend is connected) ─────────────────
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DEMO_DB = {
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"malaysia": {
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"country": "Malaysia", "flag": "🇲🇾",
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@@ -36,8 +33,8 @@ DEMO_DB = {
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"country": "Germany", "flag": "🇩🇪",
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"min_wage": {"amount": "EUR 12.41/hour", "effective": "2024-01-01", "status": "current"},
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"tax": {"corporate": "15% + solidarity", "personal_top": "45%", "last_updated": "2024-01-01"},
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"social_security": {"employer_total": "~20%", "employee_total": "~20%", "
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"contractor_rules": "Strict
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"recent_changes": [
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{"date": "2024-01-01", "type": "Payroll", "summary": "Minimum wage increased to EUR 12.41/hour", "severity": "high"},
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{"date": "2024-02-15", "type": "Compliance", "summary": "New Works Council AI consultation requirements", "severity": "medium"},
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@@ -49,10 +46,10 @@ DEMO_DB = {
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"min_wage": {"amount": "BRL 1,412/month", "effective": "2024-01-01", "status": "current"},
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"tax": {"corporate": "15-25%", "personal_top": "27.5%", "last_updated": "2024-01-01"},
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"social_security": {"inss_employer": "20%", "inss_employee": "7.5-14%", "fgts": "8%"},
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"contractor_rules": "CLT employment strongly preferred by courts. PJ
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"recent_changes": [
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{"date": "2024-01-01", "type": "Payroll", "summary": "Minimum wage raised to BRL 1,412", "severity": "high"},
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{"date": "2024-02-01", "type": "Compliance", "summary": "
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{"date": "2024-03-10", "type": "Tax", "summary": "New Simples Nacional thresholds for 2024", "severity": "medium"},
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],
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"expansion_score": 61, "eor_available": True,
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@@ -62,7 +59,7 @@ DEMO_DB = {
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"min_wage": {"amount": "No statutory minimum wage", "effective": "N/A", "status": "info"},
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"tax": {"corporate": "17%", "personal_top": "24%", "last_updated": "2024-04-01"},
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"social_security": {"cpf_employer": "17%", "cpf_employee": "20%", "applies_to": "Citizens/PRs only"},
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"contractor_rules": "Clear
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"recent_changes": [
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{"date": "2024-04-01", "type": "Tax", "summary": "GST increased to 9% from 8%", "severity": "medium"},
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{"date": "2024-01-01", "type": "Compliance", "summary": "Flexible work arrangement guidelines effective", "severity": "low"},
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@@ -74,7 +71,7 @@ DEMO_DB = {
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"min_wage": {"amount": "USD 7.25/hour federal (state rates vary)", "effective": "2009-07-24", "status": "outdated"},
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"tax": {"corporate": "21%", "personal_top": "37%", "last_updated": "2024-01-01"},
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"social_security": {"fica_employer": "7.65%", "fica_employee": "7.65%", "futa": "0.6%"},
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"contractor_rules": "ABC test
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"recent_changes": [
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{"date": "2024-01-01", "type": "Compliance", "summary": "Corporate Transparency Act BOI reporting effective", "severity": "high"},
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{"date": "2024-04-23", "type": "Labor", "summary": "DOL new overtime threshold rule finalized", "severity": "high"},
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},
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"india": {
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"country": "India", "flag": "🇮🇳",
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"min_wage": {"amount": "INR 176
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"tax": {"corporate": "22% (domestic)", "personal_top": "30%", "last_updated": "2024-04-01"},
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"social_security": {"epf_employer": "12%", "epf_employee": "12%", "esi": "3.25% employer"},
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"contractor_rules": "Contract Labour Act regulates use
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"recent_changes": [
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{"date": "2024-04-01", "type": "Tax", "summary": "New TDS provisions for online gaming / crypto
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{"date": "2024-01-15", "type": "Compliance", "summary": "EPFO UAN autogeneration
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],
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"expansion_score": 68, "eor_available": True,
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},
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"min_wage": {"amount": "JPY 1,004/hour (national avg)", "effective": "2023-10-01", "status": "current"},
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"tax": {"corporate": "23.2%", "personal_top": "45%", "last_updated": "2024-01-01"},
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"social_security": {"health_employer": "5.0%", "pension_employer": "9.15%", "employment_insurance": "0.95%"},
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"contractor_rules": "Worker dispatch laws strictly regulate contractor use. Misclassification fines
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"recent_changes": [
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{"date": "2024-04-01", "type": "Labor", "summary": "Overtime disclosure rules for large firms effective", "severity": "medium"},
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{"date": "2024-01-01", "type": "Compliance", "summary": "Childcare leave promotion requirements strengthened", "severity": "low"},
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],
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"expansion_score": 78, "eor_available": True,
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},
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"min_wage": {"amount": "AUD 23.23/hour", "effective": "2023-07-01", "status": "current"},
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"tax": {"corporate": "30% (25% for small business)", "personal_top": "45%", "last_updated": "2024-07-01"},
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"social_security": {"superannuation_employer": "11%", "medicare_levy": "2%"},
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"contractor_rules": "High misclassification risk post-2022 High Court rulings. Substance over form test
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"recent_changes": [
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{"date": "2024-07-01", "type": "Payroll", "summary": "Superannuation rate increases to 11.5%", "severity": "high"},
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{"date": "2024-01-01", "type": "Labor", "summary": "Right to disconnect legislation effective", "severity": "medium"},
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@@ -135,13 +131,12 @@ RATING_ICON = {"High": "🟢", "Medium": "🟡", "Low": "🔴"}
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def query_standalone(query: str) -> dict:
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"""Query the built-in demo database."""
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raw = query.lower()
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for key, data in DEMO_DB.items():
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if key in raw:
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return {
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"status": "success",
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"queried_at": datetime.datetime.
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"source": "Sloth Intelligence Engine v1.0-MVP (Demo)",
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"country": data["country"], "flag": data["flag"],
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"summary": {
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}
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return {
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"status": "no_match",
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"message": f"No data
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"available_countries": [v["country"] for v in DEMO_DB.values()],
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}
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def call_backend(query: str) -> dict:
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"""Call the connected private backend."""
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try:
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resp = requests.post(
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f"{BACKEND_URL}/query",
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headers=HEADERS,
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json={"query": query},
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timeout=15,
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)
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resp.raise_for_status()
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return resp.json()
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except requests.exceptions.ConnectionError:
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return {"status": "error", "message": "⚠ Backend unreachable. Falling back to demo data.", "fallback": True}
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except Exception as e:
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return {"status": "error", "message": f"⚠ Backend error: {str(e)}", "fallback": True}
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def get_data(query: str) -> dict:
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if BACKEND_URL:
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return query_standalone(query)
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def format_result(data: dict) -> tuple:
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if data.get("status") == "error":
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return data.get("message", "Unknown error"), "", "", ""
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if data.get("status") == "no_match":
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avail = ", ".join(data.get("available_countries", []))
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return f"**No match
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if data.get("status") != "success":
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return "Unexpected response.", "", "", ""
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ts = data.get("queried_at", "")[:19].replace("T", " ")
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alerts = data.get("alert_count", 0)
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sources = data.get("monitored_sources", 0)
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mode = " · Demo
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header = f"# {flag} {country}\n*Queried {ts} UTC · {sources} sources monitored · {alerts} recent alerts{mode}*\n---"
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s = data.get("summary", {})
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mw = s.get("minimum_wage", {})
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tx = s.get("tax_rates", {})
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ss = s.get("social_security", {})
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cr = s.get("contractor_classification", "N/A")
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wage_status = {"current": "✅ Current", "outdated": "⚠ Outdated", "info": "ℹ Info"}.get(mw.get("status", ""), "")
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summary = (
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f"## 📋 Compliance Summary\n\n"
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f"**Minimum Wage** \n{mw.get('amount','N/A')} — effective {mw.get('effective','N/A')} {wage_status}\n\n"
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f"**Tax Rates** \n- Corporate: `{tx.get('corporate','N/A')}`\n- Personal (top): `{tx.get('personal_top','N/A')}`\n- Last updated: {tx.get('last_updated','N/A')}\n\n"
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f"**Social Security** \n" + "\n".join(f"- {k.replace('_',' ').title()}: `{v}`" for k, v in ss.items()) +
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f"\n\n**Contractor Classification** \n{cr}"
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)
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changes = data.get("recent_regulatory_changes", [])
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if changes:
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rows = "\n".join(
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f"| {SEVERITY_ICON.get(c.get('severity','low'),'⚪')} | {c.get('date','')} | {c.get('type','')} | {c.get('summary','')} |"
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for c in changes
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)
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changes_md = f"## ⚡ Recent Regulatory Changes\n\n| Sev | Date | Type | Summary |\n|---|---|---|---|\n{rows}"
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else:
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changes_md = "## ⚡ Recent Regulatory Changes\n\nNo recent changes detected."
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er = data.get("expansion_readiness", {})
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score = er.get("score", 0)
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rating = er.get("rating", "N/A")
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eor = "✅ Available" if er.get("eor_available") else "❌ Not available"
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bar = "█" * (score // 10) + "░" * (10 - score // 10)
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expansion = (
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f"## 🌍 Expansion Readiness\n\n"
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f"**Score: {score}/100** {RATING_ICON.get(rating,'⚪')} {rating}\n\n"
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f"`{bar}` {score}%\n\n**EOR:** {eor}"
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)
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return header, summary, changes_md, expansion
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def run_query(query: str):
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if not query.strip():
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return "Enter a country or compliance question above.", "", "", ""
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return format_result(get_data(query))
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CSS = """
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body, .gradio-container { font-family: 'Inter', system-ui, sans-serif !important; background: #F8FAFC !important; }
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#header-banner { background: linear-gradient(135deg, #0B1F3A 0%, #12294D 60%, #0D9488 100%); border-radius: 12px; padding: 28px 32px 20px; margin-bottom: 16px; }
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#header-banner h1 { font-size: 2.4rem; font-weight: 700; letter-spacing: 0.1em; color: white !important; margin: 0 0 4px; }
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#header-banner p { color: #5DCAA5; font-size: 1rem; margin: 0; }
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textarea, input[type=text] { border: 1.5px solid #CBD5E1 !important; border-radius: 8px !important; background: white !important; }
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textarea:focus, input[type=text]:focus { border-color: #0D9488 !important; box-shadow: 0 0 0 3px rgba(13,148,136,0.15) !important; }
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button.primary { background: #0D9488 !important; border: none !important; border-radius: 8px !important; font-weight: 600 !important; color: white !important; }
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button.primary:hover { background: #0F6E56 !important; }
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.result-panel { background: white; border: 1px solid #E2E8F0; border-radius: 10px; padding: 20px; margin-top: 12px; }
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.markdown-body h1 { color: #0B1F3A !important; font-size: 1.5rem !important; }
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.markdown-body h2 { color: #0D9488 !important; font-size: 1.15rem !important; border-bottom: 1px solid #E2E8F0; padding-bottom: 4px; }
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.markdown-body code { background: #F0FDFA !important; color: #0B1F3A !important; border-radius: 4px; padding: 1px 5px; }
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.markdown-body table { border-collapse: collapse; width: 100%; }
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.markdown-body td, .markdown-body th { border: 1px solid #E2E8F0 !important; padding: 6px 12px !important; font-size: 0.9rem; }
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.markdown-body th { background: #F8FAFC !important; }
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"""
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HEADER_HTML = """
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<div id="header-banner">
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<h1>🦥 SLOTH</h1>
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<p>AI Workforce Intelligence · Real-time compliance monitoring across 150+ countries</p>
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</div>
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"""
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with gr.Blocks(css=CSS, title="Sloth — AI Workforce Intelligence") as demo:
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gr.HTML(HEADER_HTML)
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with gr.Row():
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with gr.Column(scale=5):
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query_box = gr.Textbox(
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placeholder="Try: 'Malaysia payroll compliance' or 'Germany minimum wage changes'",
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label="Ask Sloth", lines=2, max_lines=4,
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)
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with gr.Column(scale=1, min_width=120):
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gr.Markdown(" ")
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submit_btn = gr.Button("Run Query →", variant="primary")
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gr.Markdown("<div style='color:#64748B;font-size:0.85rem;margin-bottom:6px'>Quick examples:</div>")
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gr.Examples(examples=EXAMPLE_QUERIES, inputs=query_box, label="")
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with gr.Row():
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header_out = gr.Markdown(label="", elem_classes=["result-panel"])
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with gr.Row():
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with gr.Column(scale=1):
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summary_out = gr.Markdown(label="", elem_classes=["result-panel"])
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with gr.Column(scale=1):
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changes_out = gr.Markdown(label="", elem_classes=["result-panel"])
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with gr.Row():
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expansion_out = gr.Markdown(label="", elem_classes=["result-panel"])
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gr.Markdown(
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"<br><center style='color:#94A3B8;font-size:0.8rem'>"
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"Sloth MVP · 8 countries in demo · Full 150-country coverage in production · "
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"<a href='mailto:hello@sloth.ai' style='color:#0D9488'>hello@sloth.ai</a>"
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"</center>"
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)
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submit_btn.click(fn=run_query, inputs=query_box, outputs=[header_out, summary_out, changes_out, expansion_out])
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query_box.submit(fn=run_query, inputs=query_box, outputs=[header_out, summary_out, changes_out, expansion_out])
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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HEADERS = {
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"Authorization": f"Bearer {API_TOKEN}",
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"Content-Type": "application/json",
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}
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EXAMPLE_QUERIES = [
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"What are Malaysia's payroll compliance requirements?",
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"Show me Germany's minimum wage and recent changes",
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"Brazil contractor classification rules",
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"Singapore expansion readiness report",
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"United States overtime compliance 2024",
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"India EPF and social security rates",
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]
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SEVERITY_ICON = {"high": "🔴", "medium": "🟡", "low": "🟢"}
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RATING_ICON = {"High": "🟢", "Medium": "🟡", "Low": "🔴"}
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# ── API call ───────────────────────────────────────────────────────────────
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def call_backend(query: str) -> dict:
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try:
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resp = requests.post(
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f"{BACKEND_URL}/query",
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headers=HEADERS,
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json={"query": query},
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timeout=15,
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)
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resp.raise_for_status()
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return resp.json()
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except requests.exceptions.ConnectionError:
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return {"status": "error", "message": "⚠ Backend offline. Start your local server and set SLOTH_BACKEND_URL."}
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except requests.exceptions.Timeout:
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return {"status": "error", "message": "⚠ Request timed out. Check your backend URL."}
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except Exception as e:
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return {"status": "error", "message": f"⚠ Error: {str(e)}"}
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| 362 |
-
# ── Result formatter ───────────────────────────────────────────────────────
|
| 363 |
-
|
| 364 |
-
def format_result(data: dict) -> tuple[str, str, str, str]:
|
| 365 |
-
"""Returns (header_md, summary_md, changes_md, expansion_md)"""
|
| 366 |
-
|
| 367 |
-
if data.get("status") == "error":
|
| 368 |
-
err = data.get("message", "Unknown error")
|
| 369 |
-
return err, "", "", ""
|
| 370 |
-
|
| 371 |
-
if data.get("status") == "no_match":
|
| 372 |
-
msg = data.get("message", "No data found.")
|
| 373 |
-
avail = ", ".join(c.title() for c in data.get("available_countries", []))
|
| 374 |
-
return f"**{msg}**\n\nAvailable: {avail}", "", "", ""
|
| 375 |
-
|
| 376 |
-
if data.get("status") != "success":
|
| 377 |
-
return "Unexpected response from backend.", "", "", ""
|
| 378 |
-
|
| 379 |
-
flag = data.get("flag", "")
|
| 380 |
-
country = data.get("country", "")
|
| 381 |
-
ts = data.get("queried_at", "")[:19].replace("T", " ")
|
| 382 |
-
alerts = data.get("alert_count", 0)
|
| 383 |
-
sources = data.get("monitored_sources", 0)
|
| 384 |
-
|
| 385 |
-
# ── Header ──
|
| 386 |
header = (
|
| 387 |
f"# {flag} {country}\n"
|
| 388 |
-
f"*Queried {ts} UTC · {sources} sources monitored · {alerts} recent alerts*\n"
|
| 389 |
-
f"---"
|
| 390 |
)
|
| 391 |
|
| 392 |
-
|
| 393 |
-
|
| 394 |
-
|
| 395 |
-
|
| 396 |
-
|
| 397 |
-
|
| 398 |
-
|
| 399 |
-
wage_status = {"current": "✅ Current", "outdated": "⚠ Outdated", "info": "ℹ Info"}.get(mw.get("status", ""), "")
|
| 400 |
|
| 401 |
summary = (
|
| 402 |
-
|
| 403 |
-
f"**Minimum Wage** \n"
|
| 404 |
-
|
| 405 |
-
f"
|
| 406 |
-
f"-
|
| 407 |
-
f"- Personal (top): `{tx.get('personal_top','N/A')}`\n"
|
| 408 |
f"- Last updated: {tx.get('last_updated','N/A')}\n\n"
|
| 409 |
-
|
| 410 |
-
+ "\n".join(f"- {k.replace('_',' ').title()}: `{v}`" for k, v in ss.items())
|
| 411 |
-
f"\n\n**Contractor Classification** \n{cr}"
|
| 412 |
)
|
| 413 |
|
| 414 |
-
# ── Recent changes ──
|
| 415 |
changes = data.get("recent_regulatory_changes", [])
|
| 416 |
if changes:
|
| 417 |
rows = "\n".join(
|
| 418 |
-
f"| {SEVERITY_ICON.get(c.get('severity','low'),
|
| 419 |
f"| {c.get('type','')} | {c.get('summary','')} |"
|
| 420 |
for c in changes
|
| 421 |
)
|
| 422 |
changes_md = (
|
| 423 |
-
|
| 424 |
-
|
| 425 |
-
f"|---|---|---|---|\n"
|
| 426 |
-
f"{rows}"
|
| 427 |
)
|
| 428 |
else:
|
| 429 |
changes_md = "## ⚡ Recent Regulatory Changes\n\nNo recent changes detected."
|
| 430 |
|
| 431 |
-
|
| 432 |
-
er = data.get("expansion_readiness", {})
|
| 433 |
score = er.get("score", 0)
|
| 434 |
rating = er.get("rating", "N/A")
|
| 435 |
eor = "✅ Available" if er.get("eor_available") else "❌ Not available"
|
| 436 |
bar = "█" * (score // 10) + "░" * (10 - score // 10)
|
| 437 |
|
| 438 |
expansion = (
|
| 439 |
-
|
| 440 |
f"**Score: {score}/100** {RATING_ICON.get(rating,'⚪')} {rating}\n\n"
|
| 441 |
f"`{bar}` {score}%\n\n"
|
| 442 |
-
f"**
|
| 443 |
)
|
| 444 |
-
|
| 445 |
return header, summary, changes_md, expansion
|
| 446 |
|
| 447 |
|
| 448 |
-
# ── Main query function ────────────────────────────────────────────────────
|
| 449 |
-
|
| 450 |
def run_query(query: str):
|
| 451 |
if not query.strip():
|
| 452 |
return "Enter a country or compliance question above.", "", "", ""
|
|
|
|
| 453 |
|
| 454 |
-
data = call_backend(query)
|
| 455 |
-
return format_result(data)
|
| 456 |
-
|
| 457 |
-
|
| 458 |
-
# ── CSS theme — navy/teal matching pitch deck ──────────────────────────────
|
| 459 |
|
| 460 |
CSS = """
|
| 461 |
-
:root {
|
| 462 |
-
--navy: #0B1F3A;
|
| 463 |
-
--teal: #0D9488;
|
| 464 |
-
--light: #F0FDFA;
|
| 465 |
-
}
|
| 466 |
-
|
| 467 |
-
body, .gradio-container {
|
| 468 |
-
font-family: 'Inter', system-ui, sans-serif !important;
|
| 469 |
-
background: #F8FAFC !important;
|
| 470 |
-
}
|
| 471 |
-
|
| 472 |
-
.gradio-container > .main > .wrap {
|
| 473 |
-
max-width: 900px;
|
| 474 |
-
margin: 0 auto;
|
| 475 |
-
}
|
| 476 |
-
|
| 477 |
-
/* Header banner */
|
| 478 |
#header-banner {
|
| 479 |
background: linear-gradient(135deg, #0B1F3A 0%, #12294D 60%, #0D9488 100%);
|
| 480 |
-
border-radius: 12px;
|
| 481 |
-
padding: 28px 32px 20px;
|
| 482 |
-
margin-bottom: 16px;
|
| 483 |
-
color: white;
|
| 484 |
}
|
| 485 |
-
|
| 486 |
#header-banner h1 {
|
| 487 |
-
font-size: 2.4rem;
|
| 488 |
-
|
| 489 |
-
letter-spacing: 0.1em;
|
| 490 |
-
color: white !important;
|
| 491 |
-
margin: 0 0 4px;
|
| 492 |
-
}
|
| 493 |
-
|
| 494 |
-
#header-banner p {
|
| 495 |
-
color: #5DCAA5;
|
| 496 |
-
font-size: 1rem;
|
| 497 |
-
margin: 0;
|
| 498 |
-
}
|
| 499 |
-
|
| 500 |
-
/* Search box */
|
| 501 |
-
textarea, input[type=text] {
|
| 502 |
-
border: 1.5px solid #CBD5E1 !important;
|
| 503 |
-
border-radius: 8px !important;
|
| 504 |
-
font-size: 1rem !important;
|
| 505 |
-
background: white !important;
|
| 506 |
-
}
|
| 507 |
-
|
| 508 |
-
textarea:focus, input[type=text]:focus {
|
| 509 |
-
border-color: #0D9488 !important;
|
| 510 |
-
box-shadow: 0 0 0 3px rgba(13,148,136,0.15) !important;
|
| 511 |
-
}
|
| 512 |
-
|
| 513 |
-
/* Buttons */
|
| 514 |
-
button.primary {
|
| 515 |
-
background: #0D9488 !important;
|
| 516 |
-
border: none !important;
|
| 517 |
-
border-radius: 8px !important;
|
| 518 |
-
font-weight: 600 !important;
|
| 519 |
-
font-size: 1rem !important;
|
| 520 |
-
color: white !important;
|
| 521 |
-
padding: 10px 28px !important;
|
| 522 |
-
cursor: pointer !important;
|
| 523 |
-
transition: background 0.2s !important;
|
| 524 |
-
}
|
| 525 |
-
|
| 526 |
-
button.primary:hover {
|
| 527 |
-
background: #0F6E56 !important;
|
| 528 |
-
}
|
| 529 |
-
|
| 530 |
-
button.secondary {
|
| 531 |
-
background: transparent !important;
|
| 532 |
-
border: 1.5px solid #CBD5E1 !important;
|
| 533 |
-
border-radius: 8px !important;
|
| 534 |
-
color: #64748B !important;
|
| 535 |
-
font-size: 0.9rem !important;
|
| 536 |
-
cursor: pointer !important;
|
| 537 |
}
|
| 538 |
-
|
| 539 |
-
/* Result panels */
|
| 540 |
.result-panel {
|
| 541 |
-
background: white;
|
| 542 |
-
border:
|
| 543 |
-
border-radius: 10px;
|
| 544 |
-
padding: 20px;
|
| 545 |
-
margin-top: 12px;
|
| 546 |
-
box-shadow: 0 1px 3px rgba(0,0,0,0.06);
|
| 547 |
}
|
| 548 |
-
|
| 549 |
-
/* Markdown output */
|
| 550 |
-
.markdown-body h1 { color: #0B1F3A !important; font-size: 1.5rem !important; }
|
| 551 |
-
.markdown-body h2 { color: #0D9488 !important; font-size: 1.15rem !important; border-bottom: 1px solid #E2E8F0; padding-bottom: 4px; }
|
| 552 |
-
.markdown-body code { background: #F0FDFA !important; color: #0B1F3A !important; border-radius: 4px; padding: 1px 5px; }
|
| 553 |
-
.markdown-body table { border-collapse: collapse; width: 100%; }
|
| 554 |
-
.markdown-body td, .markdown-body th { border: 1px solid #E2E8F0 !important; padding: 6px 12px !important; font-size: 0.9rem; }
|
| 555 |
-
.markdown-body th { background: #F8FAFC !important; }
|
| 556 |
-
|
| 557 |
-
/* Example pills */
|
| 558 |
-
.example-label { color: #64748B; font-size: 0.85rem; margin-bottom: 6px; }
|
| 559 |
"""
|
| 560 |
|
| 561 |
HEADER_HTML = """
|
| 562 |
<div id="header-banner">
|
| 563 |
<h1>🦥 SLOTH</h1>
|
| 564 |
-
<p>AI Workforce Intelligence · Real-time compliance monitoring across 150+ countries</p>
|
| 565 |
</div>
|
| 566 |
"""
|
| 567 |
|
| 568 |
-
|
| 569 |
-
|
| 570 |
-
with gr.Blocks(css=CSS, title="Sloth — AI Workforce Intelligence") as demo:
|
| 571 |
-
|
| 572 |
gr.HTML(HEADER_HTML)
|
| 573 |
|
| 574 |
with gr.Row():
|
| 575 |
with gr.Column(scale=5):
|
| 576 |
query_box = gr.Textbox(
|
| 577 |
placeholder="Try: 'Malaysia payroll compliance' or 'Germany minimum wage changes'",
|
| 578 |
-
label="Ask Sloth",
|
| 579 |
-
lines=2,
|
| 580 |
-
max_lines=4,
|
| 581 |
)
|
| 582 |
-
with gr.Column(scale=1, min_width=
|
| 583 |
-
gr.Markdown("
|
| 584 |
submit_btn = gr.Button("Run Query →", variant="primary")
|
| 585 |
|
| 586 |
-
#
|
| 587 |
-
gr.
|
| 588 |
-
gr.Examples(
|
| 589 |
-
examples=EXAMPLE_QUERIES,
|
| 590 |
-
inputs=query_box,
|
| 591 |
-
label="",
|
| 592 |
-
)
|
| 593 |
|
| 594 |
-
# Output panels
|
| 595 |
with gr.Row():
|
| 596 |
-
header_out = gr.Markdown(
|
| 597 |
-
|
| 598 |
with gr.Row():
|
| 599 |
with gr.Column(scale=1):
|
| 600 |
-
summary_out = gr.Markdown(
|
| 601 |
with gr.Column(scale=1):
|
| 602 |
-
changes_out = gr.Markdown(
|
| 603 |
-
|
| 604 |
with gr.Row():
|
| 605 |
-
expansion_out = gr.Markdown(
|
| 606 |
|
| 607 |
-
# Footer
|
| 608 |
gr.Markdown(
|
| 609 |
-
"<
|
| 610 |
-
"Sloth MVP ·
|
| 611 |
-
"
|
|
|
|
| 612 |
"</center>"
|
| 613 |
)
|
| 614 |
|
| 615 |
-
|
| 616 |
-
|
| 617 |
-
|
| 618 |
-
|
| 619 |
-
outputs=[header_out, summary_out, changes_out, expansion_out],
|
| 620 |
-
)
|
| 621 |
-
query_box.submit(
|
| 622 |
-
fn=run_query,
|
| 623 |
-
inputs=query_box,
|
| 624 |
-
outputs=[header_out, summary_out, changes_out, expansion_out],
|
| 625 |
-
)
|
| 626 |
|
| 627 |
if __name__ == "__main__":
|
| 628 |
-
demo.launch(server_name="0.0.0.0", server_port=7860,
|
|
|
|
| 1 |
"""
|
| 2 |
Sloth — AI Workforce Intelligence Demo
|
| 3 |
+
Hugging Face Spaces · Gradio 6 compatible
|
| 4 |
|
| 5 |
+
Standalone mode: works immediately with built-in demo data (no backend needed)
|
| 6 |
+
Connected mode: set SLOTH_BACKEND_URL secret to proxy to your private engine
|
|
|
|
| 7 |
"""
|
| 8 |
|
| 9 |
import gradio as gr
|
| 10 |
import requests
|
| 11 |
import os
|
|
|
|
| 12 |
import datetime
|
| 13 |
import random
|
| 14 |
|
|
|
|
| 16 |
API_TOKEN = os.environ.get("SLOTH_API_TOKEN", "sloth-demo-token-2025")
|
| 17 |
HEADERS = {"Authorization": f"Bearer {API_TOKEN}", "Content-Type": "application/json"}
|
| 18 |
|
|
|
|
| 19 |
DEMO_DB = {
|
| 20 |
"malaysia": {
|
| 21 |
"country": "Malaysia", "flag": "🇲🇾",
|
|
|
|
| 33 |
"country": "Germany", "flag": "🇩🇪",
|
| 34 |
"min_wage": {"amount": "EUR 12.41/hour", "effective": "2024-01-01", "status": "current"},
|
| 35 |
"tax": {"corporate": "15% + solidarity", "personal_top": "45%", "last_updated": "2024-01-01"},
|
| 36 |
+
"social_security": {"employer_total": "~20%", "employee_total": "~20%", "health_insurance": "14.6%"},
|
| 37 |
+
"contractor_rules": "Strict Scheinselbständigkeit laws. High misclassification risk.",
|
| 38 |
"recent_changes": [
|
| 39 |
{"date": "2024-01-01", "type": "Payroll", "summary": "Minimum wage increased to EUR 12.41/hour", "severity": "high"},
|
| 40 |
{"date": "2024-02-15", "type": "Compliance", "summary": "New Works Council AI consultation requirements", "severity": "medium"},
|
|
|
|
| 46 |
"min_wage": {"amount": "BRL 1,412/month", "effective": "2024-01-01", "status": "current"},
|
| 47 |
"tax": {"corporate": "15-25%", "personal_top": "27.5%", "last_updated": "2024-01-01"},
|
| 48 |
"social_security": {"inss_employer": "20%", "inss_employee": "7.5-14%", "fgts": "8%"},
|
| 49 |
+
"contractor_rules": "CLT employment strongly preferred by courts. PJ arrangements under scrutiny.",
|
| 50 |
"recent_changes": [
|
| 51 |
{"date": "2024-01-01", "type": "Payroll", "summary": "Minimum wage raised to BRL 1,412", "severity": "high"},
|
| 52 |
+
{"date": "2024-02-01", "type": "Compliance", "summary": "eSocial reporting v3.1 now mandatory", "severity": "high"},
|
| 53 |
{"date": "2024-03-10", "type": "Tax", "summary": "New Simples Nacional thresholds for 2024", "severity": "medium"},
|
| 54 |
],
|
| 55 |
"expansion_score": 61, "eor_available": True,
|
|
|
|
| 59 |
"min_wage": {"amount": "No statutory minimum wage", "effective": "N/A", "status": "info"},
|
| 60 |
"tax": {"corporate": "17%", "personal_top": "24%", "last_updated": "2024-04-01"},
|
| 61 |
"social_security": {"cpf_employer": "17%", "cpf_employee": "20%", "applies_to": "Citizens/PRs only"},
|
| 62 |
+
"contractor_rules": "Clear framework. Employment Act 2021 covers most workers.",
|
| 63 |
"recent_changes": [
|
| 64 |
{"date": "2024-04-01", "type": "Tax", "summary": "GST increased to 9% from 8%", "severity": "medium"},
|
| 65 |
{"date": "2024-01-01", "type": "Compliance", "summary": "Flexible work arrangement guidelines effective", "severity": "low"},
|
|
|
|
| 71 |
"min_wage": {"amount": "USD 7.25/hour federal (state rates vary)", "effective": "2009-07-24", "status": "outdated"},
|
| 72 |
"tax": {"corporate": "21%", "personal_top": "37%", "last_updated": "2024-01-01"},
|
| 73 |
"social_security": {"fica_employer": "7.65%", "fica_employee": "7.65%", "futa": "0.6%"},
|
| 74 |
+
"contractor_rules": "ABC test varies by state. California AB5 most restrictive.",
|
| 75 |
"recent_changes": [
|
| 76 |
{"date": "2024-01-01", "type": "Compliance", "summary": "Corporate Transparency Act BOI reporting effective", "severity": "high"},
|
| 77 |
{"date": "2024-04-23", "type": "Labor", "summary": "DOL new overtime threshold rule finalized", "severity": "high"},
|
|
|
|
| 80 |
},
|
| 81 |
"india": {
|
| 82 |
"country": "India", "flag": "🇮🇳",
|
| 83 |
+
"min_wage": {"amount": "INR 176-423/day (varies by state & skill)", "effective": "2024-04-01", "status": "current"},
|
| 84 |
"tax": {"corporate": "22% (domestic)", "personal_top": "30%", "last_updated": "2024-04-01"},
|
| 85 |
"social_security": {"epf_employer": "12%", "epf_employee": "12%", "esi": "3.25% employer"},
|
| 86 |
+
"contractor_rules": "Contract Labour Act regulates use. Principal employer liability applies.",
|
| 87 |
"recent_changes": [
|
| 88 |
+
{"date": "2024-04-01", "type": "Tax", "summary": "New TDS provisions for online gaming / crypto", "severity": "medium"},
|
| 89 |
+
{"date": "2024-01-15", "type": "Compliance", "summary": "EPFO UAN autogeneration mandatory for new hires", "severity": "medium"},
|
| 90 |
],
|
| 91 |
"expansion_score": 68, "eor_available": True,
|
| 92 |
},
|
|
|
|
| 95 |
"min_wage": {"amount": "JPY 1,004/hour (national avg)", "effective": "2023-10-01", "status": "current"},
|
| 96 |
"tax": {"corporate": "23.2%", "personal_top": "45%", "last_updated": "2024-01-01"},
|
| 97 |
"social_security": {"health_employer": "5.0%", "pension_employer": "9.15%", "employment_insurance": "0.95%"},
|
| 98 |
+
"contractor_rules": "Worker dispatch laws strictly regulate contractor use. Misclassification fines heavy.",
|
| 99 |
"recent_changes": [
|
| 100 |
{"date": "2024-04-01", "type": "Labor", "summary": "Overtime disclosure rules for large firms effective", "severity": "medium"},
|
|
|
|
| 101 |
],
|
| 102 |
"expansion_score": 78, "eor_available": True,
|
| 103 |
},
|
|
|
|
| 106 |
"min_wage": {"amount": "AUD 23.23/hour", "effective": "2023-07-01", "status": "current"},
|
| 107 |
"tax": {"corporate": "30% (25% for small business)", "personal_top": "45%", "last_updated": "2024-07-01"},
|
| 108 |
"social_security": {"superannuation_employer": "11%", "medicare_levy": "2%"},
|
| 109 |
+
"contractor_rules": "High misclassification risk post-2022 High Court rulings. Substance over form test.",
|
| 110 |
"recent_changes": [
|
| 111 |
{"date": "2024-07-01", "type": "Payroll", "summary": "Superannuation rate increases to 11.5%", "severity": "high"},
|
| 112 |
{"date": "2024-01-01", "type": "Labor", "summary": "Right to disconnect legislation effective", "severity": "medium"},
|
|
|
|
| 131 |
|
| 132 |
|
| 133 |
def query_standalone(query: str) -> dict:
|
|
|
|
| 134 |
raw = query.lower()
|
| 135 |
for key, data in DEMO_DB.items():
|
| 136 |
if key in raw:
|
| 137 |
return {
|
| 138 |
"status": "success",
|
| 139 |
+
"queried_at": datetime.datetime.now(datetime.timezone.utc).isoformat().replace("+00:00", "Z"),
|
| 140 |
"source": "Sloth Intelligence Engine v1.0-MVP (Demo)",
|
| 141 |
"country": data["country"], "flag": data["flag"],
|
| 142 |
"summary": {
|
|
|
|
| 156 |
}
|
| 157 |
return {
|
| 158 |
"status": "no_match",
|
| 159 |
+
"message": f"No data for: '{query}'",
|
| 160 |
"available_countries": [v["country"] for v in DEMO_DB.values()],
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}
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| 164 |
def get_data(query: str) -> dict:
|
| 165 |
if BACKEND_URL:
|
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+
try:
|
| 167 |
+
resp = requests.post(
|
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f"{BACKEND_URL}/query", headers=HEADERS,
|
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+
json={"query": query}, timeout=15,
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)
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+
resp.raise_for_status()
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+
return resp.json()
|
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+
except Exception:
|
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+
pass
|
| 175 |
return query_standalone(query)
|
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| 178 |
def format_result(data: dict) -> tuple:
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if data.get("status") == "error":
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return data.get("message", "Unknown error"), "", "", ""
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if data.get("status") == "no_match":
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avail = ", ".join(data.get("available_countries", []))
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+
return f"**No match.** \nCurrently monitoring: {avail}", "", "", ""
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if data.get("status") != "success":
|
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return "Unexpected response.", "", "", ""
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ts = data.get("queried_at", "")[:19].replace("T", " ")
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alerts = data.get("alert_count", 0)
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sources = data.get("monitored_sources", 0)
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+
mode = " · Demo" if "Demo" in data.get("source", "") else ""
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|
| 194 |
header = (
|
| 195 |
f"# {flag} {country}\n"
|
| 196 |
+
f"*Queried {ts} UTC · {sources} sources monitored · {alerts} recent alerts{mode}*\n\n---"
|
|
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|
| 197 |
)
|
| 198 |
|
| 199 |
+
s = data.get("summary", {})
|
| 200 |
+
mw = s.get("minimum_wage", {})
|
| 201 |
+
tx = s.get("tax_rates", {})
|
| 202 |
+
ss = s.get("social_security", {})
|
| 203 |
+
cr = s.get("contractor_classification", "N/A")
|
| 204 |
+
ws = {"current": "✅ Current", "outdated": "⚠ Outdated", "info": "ℹ Info"}.get(mw.get("status", ""), "")
|
|
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|
| 205 |
|
| 206 |
summary = (
|
| 207 |
+
"## 📋 Compliance Summary\n\n"
|
| 208 |
+
f"**Minimum Wage** \n{mw.get('amount','N/A')} — effective {mw.get('effective','N/A')} {ws}\n\n"
|
| 209 |
+
"**Tax Rates** \n"
|
| 210 |
+
f"- Corporate: `{tx.get('corporate','N/A')}` \n"
|
| 211 |
+
f"- Personal (top rate): `{tx.get('personal_top','N/A')}` \n"
|
|
|
|
| 212 |
f"- Last updated: {tx.get('last_updated','N/A')}\n\n"
|
| 213 |
+
"**Social Security** \n"
|
| 214 |
+
+ "\n".join(f"- {k.replace('_',' ').title()}: `{v}`" for k, v in ss.items())
|
| 215 |
+
+ f"\n\n**Contractor Classification** \n{cr}"
|
| 216 |
)
|
| 217 |
|
|
|
|
| 218 |
changes = data.get("recent_regulatory_changes", [])
|
| 219 |
if changes:
|
| 220 |
rows = "\n".join(
|
| 221 |
+
f"| {SEVERITY_ICON.get(c.get('severity','low'),'⚪')} | {c.get('date','')} "
|
| 222 |
f"| {c.get('type','')} | {c.get('summary','')} |"
|
| 223 |
for c in changes
|
| 224 |
)
|
| 225 |
changes_md = (
|
| 226 |
+
"## ⚡ Recent Regulatory Changes\n\n"
|
| 227 |
+
"| Sev | Date | Type | Summary |\n|---|---|---|---|\n" + rows
|
|
|
|
|
|
|
| 228 |
)
|
| 229 |
else:
|
| 230 |
changes_md = "## ⚡ Recent Regulatory Changes\n\nNo recent changes detected."
|
| 231 |
|
| 232 |
+
er = data.get("expansion_readiness", {})
|
|
|
|
| 233 |
score = er.get("score", 0)
|
| 234 |
rating = er.get("rating", "N/A")
|
| 235 |
eor = "✅ Available" if er.get("eor_available") else "❌ Not available"
|
| 236 |
bar = "█" * (score // 10) + "░" * (10 - score // 10)
|
| 237 |
|
| 238 |
expansion = (
|
| 239 |
+
"## 🌍 Expansion Readiness\n\n"
|
| 240 |
f"**Score: {score}/100** {RATING_ICON.get(rating,'⚪')} {rating}\n\n"
|
| 241 |
f"`{bar}` {score}%\n\n"
|
| 242 |
+
f"**Employer of Record (EOR):** {eor}"
|
| 243 |
)
|
|
|
|
| 244 |
return header, summary, changes_md, expansion
|
| 245 |
|
| 246 |
|
|
|
|
|
|
|
| 247 |
def run_query(query: str):
|
| 248 |
if not query.strip():
|
| 249 |
return "Enter a country or compliance question above.", "", "", ""
|
| 250 |
+
return format_result(get_data(query))
|
| 251 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 252 |
|
| 253 |
CSS = """
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 254 |
#header-banner {
|
| 255 |
background: linear-gradient(135deg, #0B1F3A 0%, #12294D 60%, #0D9488 100%);
|
| 256 |
+
border-radius: 12px; padding: 28px 32px 20px; margin-bottom: 16px;
|
|
|
|
|
|
|
|
|
|
| 257 |
}
|
|
|
|
| 258 |
#header-banner h1 {
|
| 259 |
+
font-size: 2.4rem; font-weight: 700; letter-spacing: 0.1em;
|
| 260 |
+
color: white !important; margin: 0 0 4px;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 261 |
}
|
| 262 |
+
#header-banner p { color: #5DCAA5; font-size: 1rem; margin: 0; }
|
|
|
|
| 263 |
.result-panel {
|
| 264 |
+
background: white; border: 1px solid #E2E8F0;
|
| 265 |
+
border-radius: 10px; padding: 20px; margin-top: 12px;
|
|
|
|
|
|
|
|
|
|
|
|
|
| 266 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 267 |
"""
|
| 268 |
|
| 269 |
HEADER_HTML = """
|
| 270 |
<div id="header-banner">
|
| 271 |
<h1>🦥 SLOTH</h1>
|
| 272 |
+
<p>AI Workforce Intelligence · Real-time compliance monitoring across 150+ countries</p>
|
| 273 |
</div>
|
| 274 |
"""
|
| 275 |
|
| 276 |
+
with gr.Blocks(title="Sloth — AI Workforce Intelligence") as demo:
|
|
|
|
|
|
|
|
|
|
| 277 |
gr.HTML(HEADER_HTML)
|
| 278 |
|
| 279 |
with gr.Row():
|
| 280 |
with gr.Column(scale=5):
|
| 281 |
query_box = gr.Textbox(
|
| 282 |
placeholder="Try: 'Malaysia payroll compliance' or 'Germany minimum wage changes'",
|
| 283 |
+
label="Ask Sloth", lines=2, max_lines=4,
|
|
|
|
|
|
|
| 284 |
)
|
| 285 |
+
with gr.Column(scale=1, min_width=130):
|
| 286 |
+
gr.Markdown(" ")
|
| 287 |
submit_btn = gr.Button("Run Query →", variant="primary")
|
| 288 |
|
| 289 |
+
gr.Markdown("<span style='color:#64748B;font-size:0.85rem'>Quick examples — click to load:</span>")
|
| 290 |
+
gr.Examples(examples=EXAMPLE_QUERIES, inputs=query_box, label="")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 291 |
|
|
|
|
| 292 |
with gr.Row():
|
| 293 |
+
header_out = gr.Markdown(elem_classes=["result-panel"])
|
|
|
|
| 294 |
with gr.Row():
|
| 295 |
with gr.Column(scale=1):
|
| 296 |
+
summary_out = gr.Markdown(elem_classes=["result-panel"])
|
| 297 |
with gr.Column(scale=1):
|
| 298 |
+
changes_out = gr.Markdown(elem_classes=["result-panel"])
|
|
|
|
| 299 |
with gr.Row():
|
| 300 |
+
expansion_out = gr.Markdown(elem_classes=["result-panel"])
|
| 301 |
|
|
|
|
| 302 |
gr.Markdown(
|
| 303 |
+
"<center style='color:#94A3B8;font-size:0.8rem;margin-top:16px'>"
|
| 304 |
+
"Sloth MVP · 8 countries in demo · "
|
| 305 |
+
"Full 150-country coverage in production · "
|
| 306 |
+
"<a href='mailto:hello@sloth.ai' style='color:#0D9488'>hello@sloth.ai</a>"
|
| 307 |
"</center>"
|
| 308 |
)
|
| 309 |
|
| 310 |
+
submit_btn.click(fn=run_query, inputs=query_box,
|
| 311 |
+
outputs=[header_out, summary_out, changes_out, expansion_out])
|
| 312 |
+
query_box.submit(fn=run_query, inputs=query_box,
|
| 313 |
+
outputs=[header_out, summary_out, changes_out, expansion_out])
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 314 |
|
| 315 |
if __name__ == "__main__":
|
| 316 |
+
demo.launch(server_name="0.0.0.0", server_port=7860, css=CSS, ssr_mode=False)
|