Spaces:
Running
Running
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- dashboard/app.py +151 -0
- dashboard/web/app.js +640 -0
- dashboard/web/entropy_map.png +3 -0
- dashboard/web/index.html +521 -0
- dashboard/web/style.css +598 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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dashboard/web/entropy_map.png filter=lfs diff=lfs merge=lfs -text
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dashboard/app.py
ADDED
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@@ -0,0 +1,151 @@
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| 1 |
+
# dashboard/app.py
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| 2 |
+
# SupportMind Streamlit Dashboard
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| 3 |
+
# Asmitha · 2026
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| 4 |
+
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| 5 |
+
import streamlit as st
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| 6 |
+
import sys, os, json
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| 7 |
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import numpy as np
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| 8 |
+
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| 9 |
+
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
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+
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st.set_page_config(page_title="SupportMind", page_icon="🧠", layout="wide")
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# Custom CSS
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+
st.markdown("""
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<style>
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.stApp { background-color: #0a0a0f; }
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.metric-card { background: rgba(255,255,255,0.04); border: 1px solid rgba(255,255,255,0.08);
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border-radius: 12px; padding: 20px; text-align: center; }
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.action-route { color: #22c55e; font-size: 28px; font-weight: 800; }
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.action-clarify { color: #eab308; font-size: 28px; font-weight: 800; }
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.action-escalate { color: #ef4444; font-size: 28px; font-weight: 800; }
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</style>
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""", unsafe_allow_html=True)
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+
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st.title("🧠 SupportMind")
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st.caption("Confidence-Gated Support Intelligence for B2B SaaS")
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+
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+
# Sidebar
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| 29 |
+
st.sidebar.header("⚙️ Configuration")
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| 30 |
+
mc_passes = st.sidebar.slider("MC Dropout Passes", 5, 50, 20)
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| 31 |
+
route_thresh = st.sidebar.slider("Route Threshold", 0.5, 0.95, 0.80, 0.05)
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| 32 |
+
clarify_thresh = st.sidebar.slider("Clarify Threshold", 0.3, 0.8, 0.55, 0.05)
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| 33 |
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entropy_max = st.sidebar.slider("Max Entropy (Route)", 0.1, 1.0, 0.35, 0.05)
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| 34 |
+
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# Hero metrics
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+
col1, col2, col3, col4 = st.columns(4)
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col1.metric("Routing Accuracy", "89.1%", "+16.8pp")
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col2.metric("Ambiguous Gain", "+32.3%", "vs baseline")
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col3.metric("Annual Savings", "$756K", "per 10K tickets/mo")
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| 40 |
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col4.metric("Pipeline Latency", "45ms", "20-pass MC Dropout")
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| 41 |
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st.divider()
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# Ticket Input
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| 45 |
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st.header("🎯 Route a Ticket")
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| 46 |
+
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presets = {
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"Billing Issue": "My invoice from last month shows $299 but my plan is $199. Please fix this billing error immediately.",
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| 49 |
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"Technical Bug": "The API endpoint /v2/export returns a 500 error when batch size exceeds 1000 records.",
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| 50 |
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"Ambiguous Ticket": "Hey, we have issues with the export function since last Tuesday. Also our invoice looks incorrect. We are considering upgrading but want this sorted first.",
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"Churn Risk": "This is the third time I'm reporting this. Still not fixed. We're looking at switching to a competitor.",
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| 52 |
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"Onboarding": "We just signed up yesterday and need help setting up SSO for our team of 50 users.",
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}
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preset = st.selectbox("Quick presets:", ["Custom"] + list(presets.keys()))
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if preset != "Custom":
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ticket_text = st.text_area("Ticket Text", value=presets[preset], height=100)
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else:
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ticket_text = st.text_area("Ticket Text", placeholder="Enter support ticket text...", height=100)
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| 61 |
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if st.button("⚡ Route Ticket", type="primary", use_container_width=True):
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if ticket_text.strip():
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with st.spinner("Running MC Dropout inference..."):
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try:
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from ensemble_router import EnsembleRouter
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| 66 |
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import ensemble_router as er
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| 67 |
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er.ROUTE_THRESHOLD = route_thresh
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er.CLARIFY_THRESHOLD = clarify_thresh
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| 69 |
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er.ENTROPY_MAX = entropy_max
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| 70 |
+
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| 71 |
+
router = EnsembleRouter(device='cpu')
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| 72 |
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result = router.route(ticket_text, n_passes=mc_passes)
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| 73 |
+
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+
# Display action
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| 75 |
+
action = result['action']
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| 76 |
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action_colors = {'route': '🟢', 'clarify': '🟡', 'escalate': '🔴'}
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| 77 |
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st.subheader(f"{action_colors.get(action, '')} Decision: {action.upper()}")
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| 78 |
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st.caption(result['reason'])
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| 79 |
+
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| 80 |
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# Metrics
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| 81 |
+
c1, c2, c3 = st.columns(3)
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| 82 |
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c1.metric("Confidence", f"{result['confidence']:.4f}")
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| 83 |
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c2.metric("Entropy", f"{result['entropy']:.4f}")
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| 84 |
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c3.metric("Top Category", result['top_category'].replace('_', ' ').title())
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| 85 |
+
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| 86 |
+
# Probability distribution
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| 87 |
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st.subheader("📊 Category Probabilities")
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| 88 |
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import plotly.graph_objects as go
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+
cats = list(result['all_probs'].keys())
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| 90 |
+
probs_vals = list(result['all_probs'].values())
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| 91 |
+
fig = go.Figure(go.Bar(
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+
x=probs_vals, y=[c.replace('_', ' ').title() for c in cats],
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orientation='h',
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marker_color=['#6366f1' if p == max(probs_vals) else '#334155' for p in probs_vals]
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))
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fig.update_layout(
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| 97 |
+
plot_bgcolor='rgba(0,0,0,0)', paper_bgcolor='rgba(0,0,0,0)',
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| 98 |
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font_color='#94a3b8', height=300, margin=dict(l=0,r=0,t=10,b=0),
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| 99 |
+
xaxis_title="Probability"
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+
)
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| 101 |
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st.plotly_chart(fig, use_container_width=True)
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+
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| 103 |
+
# Clarification
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| 104 |
+
if action == 'clarify':
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| 105 |
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st.subheader("💡 Suggested Clarification")
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| 106 |
+
try:
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| 107 |
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from clarification_engine import ClarificationEngine
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| 108 |
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bank_path = os.path.join(os.path.dirname(__file__), '..', 'data', 'clarification_bank.json')
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| 109 |
+
clar = ClarificationEngine(bank_path)
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| 110 |
+
probs_arr = np.array(list(result['all_probs'].values()))
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| 111 |
+
q = clar.select_question(probs_arr, result['top_two_classes'])
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| 112 |
+
st.info(f"**{q['question_text']}**")
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| 113 |
+
for opt in q.get('options', []):
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| 114 |
+
st.button(opt, disabled=True)
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| 115 |
+
st.caption(f"Expected information gain: {q['expected_gain']:.4f}")
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| 116 |
+
except Exception as e:
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| 117 |
+
st.warning(f"Could not load clarification: {e}")
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| 118 |
+
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| 119 |
+
# SLA
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| 120 |
+
st.subheader("🚨 SLA Breach Prediction")
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| 121 |
+
try:
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| 122 |
+
from sla_predictor import SLABreachPredictor
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| 123 |
+
from feature_extraction import FeatureExtractor
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| 124 |
+
feat_ext = FeatureExtractor()
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| 125 |
+
features = feat_ext.extract(ticket_text)
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| 126 |
+
sla_path = os.path.join(os.path.dirname(__file__), '..', 'models', 'sla_predictor', 'sla_xgb.json')
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| 127 |
+
sla = SLABreachPredictor(sla_path)
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| 128 |
+
sla_features = {
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| 129 |
+
'text_complexity_score': features['text_complexity_score'],
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| 130 |
+
'agent_queue_depth': 15, 'customer_tier': 3,
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| 131 |
+
'hour_of_day': 14, 'day_of_week': 2,
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| 132 |
+
'similar_ticket_avg_hrs': 4.5,
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| 133 |
+
'sentiment_score': features['sentiment_score'],
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| 134 |
+
'repeat_issue': 0, 'escalated_before': 0,
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| 135 |
+
}
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| 136 |
+
sla_result = sla.explain(sla_features)
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| 137 |
+
sc1, sc2 = st.columns(2)
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| 138 |
+
sc1.metric("Breach Probability", f"{sla_result['breach_probability']:.1%}")
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| 139 |
+
sc2.metric("Risk Level", sla_result['risk_level'].upper())
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| 140 |
+
if sla_result['contributing_factors']:
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| 141 |
+
st.caption("Factors: " + ", ".join(sla_result['contributing_factors']))
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| 142 |
+
except Exception as e:
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| 143 |
+
st.warning(f"SLA prediction unavailable: {e}")
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| 144 |
+
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| 145 |
+
except Exception as e:
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| 146 |
+
st.error(f"Error: {e}")
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| 147 |
+
import traceback
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| 148 |
+
st.code(traceback.format_exc())
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| 149 |
+
else:
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| 150 |
+
st.warning("Please enter ticket text.")
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| 151 |
+
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dashboard/web/app.js
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|
| 1 |
+
// SupportMind Dashboard — app.js
|
| 2 |
+
// Interactive demo with real API calls (falls back to simulation if API unavailable)
|
| 3 |
+
|
| 4 |
+
const API_BASE = window.location.origin;
|
| 5 |
+
let apiOnline = false;
|
| 6 |
+
|
| 7 |
+
// Category colors
|
| 8 |
+
const CAT_COLORS = {
|
| 9 |
+
billing: '#fb923c', technical_support: '#8083ff', account_management: '#89ceff',
|
| 10 |
+
feature_request: '#c0c1ff', compliance_legal: '#f87171', onboarding: '#4ade80',
|
| 11 |
+
general_inquiry: '#94a3b8', churn_risk: '#facc15',
|
| 12 |
+
};
|
| 13 |
+
|
| 14 |
+
// ── Init ──────────────────────────────────────────────
|
| 15 |
+
document.addEventListener('DOMContentLoaded', () => {
|
| 16 |
+
animateCounters();
|
| 17 |
+
initPresets();
|
| 18 |
+
initDropoutViz();
|
| 19 |
+
initScrollAnimations();
|
| 20 |
+
checkAPI();
|
| 21 |
+
updateLiveMetrics();
|
| 22 |
+
setInterval(updateLiveMetrics, 5000); // Update every 5 seconds
|
| 23 |
+
});
|
| 24 |
+
|
| 25 |
+
// ── Counter Animation ─────────────────────────────────
|
| 26 |
+
function animateCounters() {
|
| 27 |
+
document.querySelectorAll('.stat-card').forEach(card => {
|
| 28 |
+
const counter = card.querySelector('.counter');
|
| 29 |
+
const target = parseFloat(card.dataset.value);
|
| 30 |
+
const duration = 1500;
|
| 31 |
+
const start = performance.now();
|
| 32 |
+
function update(now) {
|
| 33 |
+
const elapsed = now - start;
|
| 34 |
+
const progress = Math.min(elapsed / duration, 1);
|
| 35 |
+
const eased = 1 - Math.pow(1 - progress, 3);
|
| 36 |
+
counter.textContent = Math.round(target * eased * 10) / 10;
|
| 37 |
+
if (progress < 1) requestAnimationFrame(update);
|
| 38 |
+
else counter.textContent = target;
|
| 39 |
+
}
|
| 40 |
+
requestAnimationFrame(update);
|
| 41 |
+
});
|
| 42 |
+
}
|
| 43 |
+
|
| 44 |
+
// ── Presets ────────────────────────────────────────────
|
| 45 |
+
// ── Live Telemetry Engine ───────────────────────────
|
| 46 |
+
async function updateMetrics() {
|
| 47 |
+
try {
|
| 48 |
+
const res = await fetch(`${API_BASE}/metrics`);
|
| 49 |
+
if (!res.ok) return;
|
| 50 |
+
const data = await res.json();
|
| 51 |
+
|
| 52 |
+
// Update Counter
|
| 53 |
+
document.getElementById('live-total').textContent = data.total_requests.toLocaleString();
|
| 54 |
+
|
| 55 |
+
// Update Model Name
|
| 56 |
+
document.getElementById('live-model').textContent = data.model;
|
| 57 |
+
|
| 58 |
+
// Update Distribution Bar
|
| 59 |
+
const dist = data.routing_distribution;
|
| 60 |
+
document.getElementById('dist-route').style.width = `${dist.route_pct}%`;
|
| 61 |
+
document.getElementById('dist-clarify').style.width = `${dist.clarify_pct}%`;
|
| 62 |
+
document.getElementById('dist-escalate').style.width = `${dist.escalate_pct}%`;
|
| 63 |
+
|
| 64 |
+
// Update Status Pulse
|
| 65 |
+
const indicator = document.getElementById('live-indicator');
|
| 66 |
+
indicator.style.opacity = '1';
|
| 67 |
+
setTimeout(() => { indicator.style.opacity = '0.8'; }, 500);
|
| 68 |
+
|
| 69 |
+
} catch (err) {
|
| 70 |
+
console.warn("Metrics sync failed:", err);
|
| 71 |
+
}
|
| 72 |
+
}
|
| 73 |
+
|
| 74 |
+
// ── Presets ────────────────────────────────────────────
|
| 75 |
+
function initPresets() {
|
| 76 |
+
document.querySelectorAll('.preset-btn').forEach(btn => {
|
| 77 |
+
btn.addEventListener('click', () => {
|
| 78 |
+
document.getElementById('ticket-input').value = btn.dataset.text;
|
| 79 |
+
});
|
| 80 |
+
});
|
| 81 |
+
}
|
| 82 |
+
|
| 83 |
+
// Initial load and interval
|
| 84 |
+
window.addEventListener('DOMContentLoaded', () => {
|
| 85 |
+
checkAPI();
|
| 86 |
+
initPresets();
|
| 87 |
+
updateMetrics();
|
| 88 |
+
setInterval(updateMetrics, 5000);
|
| 89 |
+
|
| 90 |
+
// Smooth scroll
|
| 91 |
+
document.querySelectorAll('a[href^="#"]').forEach(anchor => {
|
| 92 |
+
anchor.addEventListener('click', function (e) {
|
| 93 |
+
e.preventDefault();
|
| 94 |
+
document.querySelector(this.getAttribute('href')).scrollIntoView({
|
| 95 |
+
behavior: 'smooth'
|
| 96 |
+
});
|
| 97 |
+
});
|
| 98 |
+
});
|
| 99 |
+
});
|
| 100 |
+
|
| 101 |
+
// ── MC Dropout Visualization ──────────────────────────
|
| 102 |
+
function initDropoutViz() {
|
| 103 |
+
const grid = document.getElementById('dropout-grid');
|
| 104 |
+
if (!grid) return;
|
| 105 |
+
for (let pass = 0; pass < 20; pass++) {
|
| 106 |
+
const col = document.createElement('div');
|
| 107 |
+
col.className = 'dropout-col';
|
| 108 |
+
for (let neuron = 0; neuron < 12; neuron++) {
|
| 109 |
+
const cell = document.createElement('div');
|
| 110 |
+
cell.className = 'dropout-cell';
|
| 111 |
+
const active = Math.random() > 0.15;
|
| 112 |
+
cell.style.background = active ? 'var(--primary)' : 'rgba(192, 193, 255, 0.05)';
|
| 113 |
+
cell.style.border = active ? 'none' : '1px solid rgba(192, 193, 255, 0.1)';
|
| 114 |
+
col.appendChild(cell);
|
| 115 |
+
}
|
| 116 |
+
grid.appendChild(col);
|
| 117 |
+
}
|
| 118 |
+
// Animate dropout
|
| 119 |
+
setInterval(() => {
|
| 120 |
+
grid.querySelectorAll('.dropout-cell').forEach(cell => {
|
| 121 |
+
const active = Math.random() > 0.15;
|
| 122 |
+
cell.style.background = active ? 'var(--primary)' : 'rgba(192, 193, 255, 0.05)';
|
| 123 |
+
cell.style.border = active ? 'none' : '1px solid rgba(192, 193, 255, 0.1)';
|
| 124 |
+
});
|
| 125 |
+
}, 2000);
|
| 126 |
+
}
|
| 127 |
+
|
| 128 |
+
// ── Scroll Animations ─────────────────────────────────
|
| 129 |
+
function initScrollAnimations() {
|
| 130 |
+
const observer = new IntersectionObserver((entries) => {
|
| 131 |
+
entries.forEach(e => { if (e.isIntersecting) e.target.classList.add('visible'); });
|
| 132 |
+
}, { threshold: 0.1 });
|
| 133 |
+
document.querySelectorAll('.section-header, .stat-card, .arch-stage, .bench-card, .ops-card').forEach(el => {
|
| 134 |
+
el.classList.add('fade-in');
|
| 135 |
+
observer.observe(el);
|
| 136 |
+
});
|
| 137 |
+
}
|
| 138 |
+
|
| 139 |
+
// ── API Check ─────────────────────────────────────────
|
| 140 |
+
async function checkAPI() {
|
| 141 |
+
try {
|
| 142 |
+
const res = await fetch(`${API_BASE}/health`, { signal: AbortSignal.timeout(2000) });
|
| 143 |
+
if (res.ok) {
|
| 144 |
+
apiOnline = true;
|
| 145 |
+
const statusEl = document.querySelector('.status-text');
|
| 146 |
+
if (statusEl) statusEl.textContent = 'API Connected';
|
| 147 |
+
}
|
| 148 |
+
} catch {
|
| 149 |
+
apiOnline = false;
|
| 150 |
+
const statusEl = document.querySelector('.status-text');
|
| 151 |
+
if (statusEl) statusEl.textContent = 'Demo Mode';
|
| 152 |
+
}
|
| 153 |
+
}
|
| 154 |
+
|
| 155 |
+
// ── Live Metrics ──────────────────────────────────────
|
| 156 |
+
async function updateLiveMetrics() {
|
| 157 |
+
if (!apiOnline) return;
|
| 158 |
+
try {
|
| 159 |
+
const res = await fetch(`${API_BASE}/metrics`);
|
| 160 |
+
const data = await res.json();
|
| 161 |
+
|
| 162 |
+
document.getElementById('live-model').textContent = data.model;
|
| 163 |
+
document.getElementById('live-total').textContent = data.total_requests;
|
| 164 |
+
|
| 165 |
+
const dist = data.routing_distribution;
|
| 166 |
+
document.getElementById('dist-route').style.width = dist.route_pct + '%';
|
| 167 |
+
document.getElementById('dist-clarify').style.width = dist.clarify_pct + '%';
|
| 168 |
+
document.getElementById('dist-escalate').style.width = dist.escalate_pct + '%';
|
| 169 |
+
} catch (err) {
|
| 170 |
+
console.warn('Metrics update failed:', err);
|
| 171 |
+
}
|
| 172 |
+
}
|
| 173 |
+
|
| 174 |
+
// ── Route Ticket ──────────────────────────────────────
|
| 175 |
+
async function routeTicket() {
|
| 176 |
+
const text = document.getElementById('ticket-input').value.trim();
|
| 177 |
+
if (!text) return;
|
| 178 |
+
|
| 179 |
+
const btn = document.getElementById('route-btn');
|
| 180 |
+
btn.innerHTML = '<span class="spinner"></span> Routing...';
|
| 181 |
+
btn.disabled = true;
|
| 182 |
+
|
| 183 |
+
let result;
|
| 184 |
+
try {
|
| 185 |
+
if (apiOnline) {
|
| 186 |
+
const res = await fetch(`${API_BASE}/route`, {
|
| 187 |
+
method: 'POST',
|
| 188 |
+
headers: { 'Content-Type': 'application/json' },
|
| 189 |
+
body: JSON.stringify({ text }),
|
| 190 |
+
});
|
| 191 |
+
result = await res.json();
|
| 192 |
+
} else {
|
| 193 |
+
result = simulateRouting(text);
|
| 194 |
+
}
|
| 195 |
+
displayResult(result, text);
|
| 196 |
+
} catch (err) {
|
| 197 |
+
result = simulateRouting(text);
|
| 198 |
+
displayResult(result, text);
|
| 199 |
+
}
|
| 200 |
+
|
| 201 |
+
btn.innerHTML = '<span class="btn-icon">⚡</span> Route Ticket';
|
| 202 |
+
btn.disabled = false;
|
| 203 |
+
}
|
| 204 |
+
|
| 205 |
+
// ── Display Result ────────────────────────────────────
|
| 206 |
+
function displayResult(r, routedText) {
|
| 207 |
+
// Handle edge cases
|
| 208 |
+
if (r.action === 'invalid_input') {
|
| 209 |
+
document.getElementById('result-placeholder').style.display = 'none';
|
| 210 |
+
const content = document.getElementById('result-content');
|
| 211 |
+
content.style.display = 'block';
|
| 212 |
+
|
| 213 |
+
const badge = document.getElementById('action-badge');
|
| 214 |
+
badge.textContent = r.error_type.toUpperCase().replace('_', ' ');
|
| 215 |
+
badge.className = 'action-badge clarify'; // yellow
|
| 216 |
+
|
| 217 |
+
document.getElementById('action-queue').textContent = r.response;
|
| 218 |
+
document.getElementById('result-reason').textContent = r.response;
|
| 219 |
+
|
| 220 |
+
// Hide gauges for invalid input
|
| 221 |
+
document.querySelector('.gauge-row').style.display = 'none';
|
| 222 |
+
document.getElementById('prob-chart').innerHTML = '';
|
| 223 |
+
document.getElementById('clarification-box').style.display = 'none';
|
| 224 |
+
const explainBtn = document.getElementById('explain-btn');
|
| 225 |
+
if (explainBtn) explainBtn.style.display = 'none';
|
| 226 |
+
document.getElementById('explanation-box').style.display = 'none';
|
| 227 |
+
return;
|
| 228 |
+
}
|
| 229 |
+
|
| 230 |
+
|
| 231 |
+
// Show gauges for valid input
|
| 232 |
+
document.querySelector('.gauge-row').style.display = 'grid';
|
| 233 |
+
|
| 234 |
+
document.getElementById('result-placeholder').style.display = 'none';
|
| 235 |
+
const content = document.getElementById('result-content');
|
| 236 |
+
content.style.display = 'block';
|
| 237 |
+
|
| 238 |
+
// Action Badge Logic
|
| 239 |
+
const badge = document.getElementById('action-badge');
|
| 240 |
+
const queue = document.getElementById('action-queue');
|
| 241 |
+
|
| 242 |
+
if (r.action === 'multi_route') {
|
| 243 |
+
badge.textContent = 'MULTI-ROUTE';
|
| 244 |
+
badge.className = 'action-badge';
|
| 245 |
+
badge.style.background = 'linear-gradient(90deg, var(--primary), var(--accent))';
|
| 246 |
+
queue.innerHTML = `
|
| 247 |
+
<div style="display: flex; gap: 8px; margin-top: 4px;">
|
| 248 |
+
<span class="tech-tag" style="background: rgba(192, 193, 255, 0.2)">Primary: ${r.primary_queue}</span>
|
| 249 |
+
<span class="tech-tag" style="background: rgba(255, 255, 255, 0.1)">Secondary: ${r.secondary_queue}</span>
|
| 250 |
+
</div>
|
| 251 |
+
`;
|
| 252 |
+
} else {
|
| 253 |
+
badge.textContent = r.action.toUpperCase();
|
| 254 |
+
badge.className = `action-badge ${r.action}`;
|
| 255 |
+
queue.textContent = r.action === 'route' ? `→ ${r.queue || r.top_category} queue` :
|
| 256 |
+
r.action === 'clarify' ? 'Needs 1 clarification question' : 'Immediate human triage';
|
| 257 |
+
}
|
| 258 |
+
|
| 259 |
+
// Gauges
|
| 260 |
+
const confPct = Math.min(r.confidence * 100, 100);
|
| 261 |
+
document.getElementById('conf-fill').style.width = confPct + '%';
|
| 262 |
+
document.getElementById('conf-value').textContent = r.confidence.toFixed(4);
|
| 263 |
+
const maxEnt = Math.log(8);
|
| 264 |
+
const entPct = Math.min((r.entropy / maxEnt) * 100, 100);
|
| 265 |
+
document.getElementById('ent-fill').style.width = entPct + '%';
|
| 266 |
+
document.getElementById('ent-value').textContent = r.entropy.toFixed(4);
|
| 267 |
+
if (r.margin !== undefined && document.getElementById('margin-value')) {
|
| 268 |
+
document.getElementById('margin-value').textContent = r.margin.toFixed(4);
|
| 269 |
+
}
|
| 270 |
+
|
| 271 |
+
|
| 272 |
+
// Prob chart
|
| 273 |
+
const chart = document.getElementById('prob-chart');
|
| 274 |
+
chart.innerHTML = '';
|
| 275 |
+
const probs = r.all_probs || {};
|
| 276 |
+
const sorted = Object.entries(probs).sort((a, b) => b[1] - a[1]);
|
| 277 |
+
const maxProb = sorted.length ? sorted[0][1] : 1;
|
| 278 |
+
sorted.forEach(([cat, prob]) => {
|
| 279 |
+
const row = document.createElement('div');
|
| 280 |
+
row.className = 'prob-row';
|
| 281 |
+
const pct = (prob / Math.max(maxProb, 0.01)) * 100;
|
| 282 |
+
row.innerHTML = `
|
| 283 |
+
<span class="prob-label">${cat.replace(/_/g, ' ')}</span>
|
| 284 |
+
<div class="prob-bar-track"><div class="prob-bar-fill" style="width:${pct}%;background:${CAT_COLORS[cat] || '#6366f1'}"></div></div>
|
| 285 |
+
<span class="prob-val">${(prob * 100).toFixed(1)}%</span>`;
|
| 286 |
+
chart.appendChild(row);
|
| 287 |
+
});
|
| 288 |
+
|
| 289 |
+
// Clarification
|
| 290 |
+
const clarBox = document.getElementById('clarification-box');
|
| 291 |
+
if (r.action === 'clarify' && r.clarification) {
|
| 292 |
+
clarBox.style.display = 'block';
|
| 293 |
+
document.getElementById('clarify-question').textContent = r.clarification.question_text;
|
| 294 |
+
const optEl = document.getElementById('clarify-options');
|
| 295 |
+
optEl.innerHTML = '';
|
| 296 |
+
(r.clarification.options || []).forEach(o => {
|
| 297 |
+
const btn = document.createElement('button');
|
| 298 |
+
btn.className = 'option-btn';
|
| 299 |
+
btn.textContent = o;
|
| 300 |
+
btn.onclick = () => {
|
| 301 |
+
// Provide visual feedback
|
| 302 |
+
document.querySelectorAll('#clarify-options .option-btn').forEach(b => b.disabled = true);
|
| 303 |
+
btn.style.background = 'var(--primary)';
|
| 304 |
+
btn.style.color = '#fff';
|
| 305 |
+
|
| 306 |
+
// Append clarification to input
|
| 307 |
+
const input = document.getElementById('ticket-input');
|
| 308 |
+
input.value = input.value.trim() + '\n\n[Clarification provided: ' + o + ']';
|
| 309 |
+
|
| 310 |
+
// Re-route with new context after a short delay
|
| 311 |
+
setTimeout(() => {
|
| 312 |
+
routeTicket();
|
| 313 |
+
}, 800);
|
| 314 |
+
};
|
| 315 |
+
optEl.appendChild(btn);
|
| 316 |
+
});
|
| 317 |
+
|
| 318 |
+
// Remove existing badge if any
|
| 319 |
+
const existingBadge = document.getElementById('source-badge');
|
| 320 |
+
if (existingBadge) existingBadge.remove();
|
| 321 |
+
|
| 322 |
+
// After displaying the question, add source badge
|
| 323 |
+
const sourceBadge = document.createElement('div');
|
| 324 |
+
sourceBadge.id = 'source-badge';
|
| 325 |
+
sourceBadge.style.cssText = 'font-size:11px;margin-top:8px;opacity:0.6;';
|
| 326 |
+
sourceBadge.textContent = r.clarification.source === 'llm_groq'
|
| 327 |
+
? '⚡ Generated by LLaMA3 via Groq'
|
| 328 |
+
: '📋 Selected from template bank';
|
| 329 |
+
document.getElementById('clarification-box').appendChild(sourceBadge);
|
| 330 |
+
|
| 331 |
+
document.getElementById('clarify-gain').textContent =
|
| 332 |
+
`Expected information gain: ${r.clarification.expected_gain?.toFixed(4) || 'N/A'}`;
|
| 333 |
+
} else {
|
| 334 |
+
clarBox.style.display = 'none';
|
| 335 |
+
}
|
| 336 |
+
|
| 337 |
+
// Signals
|
| 338 |
+
const slaRiskVal = r.sla_risk || r.sla_breach_probability || 0;
|
| 339 |
+
const slaPct = slaRiskVal * 100;
|
| 340 |
+
document.getElementById('sla-value').textContent = slaPct.toFixed(1) + '%';
|
| 341 |
+
document.getElementById('sla-fill').style.width = slaPct + '%';
|
| 342 |
+
document.getElementById('sla-fill').style.background =
|
| 343 |
+
slaPct > 65 ? 'var(--red)' : slaPct > 35 ? 'var(--yellow)' : 'var(--green)';
|
| 344 |
+
|
| 345 |
+
const feat = r.features || {};
|
| 346 |
+
const sent = feat.sentiment_score;
|
| 347 |
+
document.getElementById('sentiment-value').textContent =
|
| 348 |
+
sent !== undefined ? (sent > 0.2 ? '😊 ' : sent < -0.2 ? '😤 ' : '😐 ') + sent.toFixed(2) : '—';
|
| 349 |
+
|
| 350 |
+
const urgScore = r.urgency_score || feat.urgency_score || 0;
|
| 351 |
+
const urgencyCard = document.getElementById('urgency-value').parentElement;
|
| 352 |
+
if (urgScore > 0.6) {
|
| 353 |
+
document.getElementById('urgency-value').innerHTML = '<span style="color: var(--red); font-weight: bold; animation: pulse 1.5s infinite;">🚨 CRITICAL</span>';
|
| 354 |
+
urgencyCard.style.border = '1px solid var(--red)';
|
| 355 |
+
urgencyCard.style.boxShadow = '0 0 15px rgba(248, 113, 113, 0.2)';
|
| 356 |
+
} else if (urgScore > 0.2) {
|
| 357 |
+
document.getElementById('urgency-value').innerHTML = '<span style="color: var(--yellow); font-weight: bold;">⚡ HIGH</span>';
|
| 358 |
+
urgencyCard.style.border = '1px solid var(--yellow)';
|
| 359 |
+
urgencyCard.style.boxShadow = '';
|
| 360 |
+
} else {
|
| 361 |
+
document.getElementById('urgency-value').textContent = '🟢 Normal';
|
| 362 |
+
urgencyCard.style.border = '';
|
| 363 |
+
urgencyCard.style.boxShadow = '';
|
| 364 |
+
}
|
| 365 |
+
|
| 366 |
+
document.getElementById('latency-value').textContent =
|
| 367 |
+
r.latency_ms ? r.latency_ms + 'ms' : '—';
|
| 368 |
+
|
| 369 |
+
// Reason
|
| 370 |
+
let decisionReason = '';
|
| 371 |
+
if (r.action === 'multi_route') {
|
| 372 |
+
decisionReason = `Multiple distinct intents detected in the request. Primary intent is <strong>${r.primary_queue}</strong>, secondary is <strong>${r.secondary_queue}</strong>.`;
|
| 373 |
+
} else if (r.action === 'clarify') {
|
| 374 |
+
decisionReason = `Model uncertainty is high (entropy: ${r.entropy.toFixed(3)}) or the top two classes are too close (margin: ${r.margin?.toFixed(3)}). A clarification question was generated to refine the intent.`;
|
| 375 |
+
} else if (r.action === 'escalate') {
|
| 376 |
+
decisionReason = `Low model confidence detected (${(r.confidence * 100).toFixed(1)}%). Routing directly to human experts to ensure accuracy.`;
|
| 377 |
+
} else {
|
| 378 |
+
decisionReason = `High-confidence intent detected: <strong>${r.top_category}</strong>. Automatically routing to specialized queue.`;
|
| 379 |
+
}
|
| 380 |
+
|
| 381 |
+
document.getElementById('result-reason').innerHTML = `
|
| 382 |
+
<div style="padding: 12px; background: rgba(192, 193, 255, 0.05); border: 1px solid rgba(192, 193, 255, 0.1); border-radius: 8px; margin-top: 16px;">
|
| 383 |
+
<div style="font-size: 11px; text-transform: uppercase; color: var(--primary); margin-bottom: 8px; font-weight: 600;">Decision Reason</div>
|
| 384 |
+
<div style="font-size: 13px; color: var(--on-surface-variant); line-height: 1.5;">${decisionReason}</div>
|
| 385 |
+
</div>
|
| 386 |
+
`;
|
| 387 |
+
|
| 388 |
+
// Show explain button for valid input
|
| 389 |
+
const explainBtn = document.getElementById('explain-btn');
|
| 390 |
+
if (explainBtn) {
|
| 391 |
+
explainBtn.style.display = 'flex';
|
| 392 |
+
explainBtn.dataset.text = routedText || document.getElementById('ticket-input').value;
|
| 393 |
+
explainBtn.dataset.category = r.top_category;
|
| 394 |
+
}
|
| 395 |
+
document.getElementById('explanation-box').style.display = 'none';
|
| 396 |
+
}
|
| 397 |
+
|
| 398 |
+
// ── Explain Decision (SHAP) ───────────────────────────
|
| 399 |
+
async function explainDecision() {
|
| 400 |
+
const btn = document.getElementById('explain-btn');
|
| 401 |
+
const text = btn.dataset.text;
|
| 402 |
+
const targetClass = btn.dataset.category;
|
| 403 |
+
|
| 404 |
+
btn.innerHTML = '<span class="spinner"></span> Analyzing tokens...';
|
| 405 |
+
btn.disabled = true;
|
| 406 |
+
|
| 407 |
+
try {
|
| 408 |
+
let result;
|
| 409 |
+
if (apiOnline) {
|
| 410 |
+
const res = await fetch(`${API_BASE}/explain`, {
|
| 411 |
+
method: 'POST',
|
| 412 |
+
headers: { 'Content-Type': 'application/json' },
|
| 413 |
+
body: JSON.stringify({ text, target_class: targetClass }),
|
| 414 |
+
});
|
| 415 |
+
result = await res.json();
|
| 416 |
+
} else {
|
| 417 |
+
// Simulate SHAP for demo mode
|
| 418 |
+
result = simulateSHAP(text);
|
| 419 |
+
}
|
| 420 |
+
|
| 421 |
+
renderSHAP(result);
|
| 422 |
+
} catch (err) {
|
| 423 |
+
console.error('SHAP failed:', err);
|
| 424 |
+
renderSHAP(simulateSHAP(text));
|
| 425 |
+
}
|
| 426 |
+
|
| 427 |
+
btn.innerHTML = '<span class="material-symbols-outlined btn-icon">query_stats</span> Analyze Decision (SHAP)';
|
| 428 |
+
btn.disabled = false;
|
| 429 |
+
}
|
| 430 |
+
|
| 431 |
+
function renderSHAP(data) {
|
| 432 |
+
const box = document.getElementById('explanation-box');
|
| 433 |
+
const textEl = document.getElementById('explain-text');
|
| 434 |
+
box.style.display = 'block';
|
| 435 |
+
textEl.innerHTML = '';
|
| 436 |
+
|
| 437 |
+
if (data.error) {
|
| 438 |
+
textEl.textContent = 'Error generating explanation: ' + data.error;
|
| 439 |
+
return;
|
| 440 |
+
}
|
| 441 |
+
|
| 442 |
+
const tokens = data.tokens;
|
| 443 |
+
const values = data.values;
|
| 444 |
+
|
| 445 |
+
tokens.forEach((token, i) => {
|
| 446 |
+
const val = values[i];
|
| 447 |
+
const span = document.createElement('span');
|
| 448 |
+
span.className = 'shap-token';
|
| 449 |
+
span.textContent = token.replace('##', ''); // Simple handling for subwords
|
| 450 |
+
|
| 451 |
+
// Normalize opacity based on value
|
| 452 |
+
const absVal = Math.abs(val);
|
| 453 |
+
const opacity = Math.min(absVal * 5, 0.8); // Scale for visibility
|
| 454 |
+
|
| 455 |
+
if (val > 0) {
|
| 456 |
+
span.style.background = `rgba(74, 222, 128, ${opacity})`;
|
| 457 |
+
span.style.borderBottom = `2px solid rgba(74, 222, 128, ${opacity + 0.2})`;
|
| 458 |
+
} else if (val < 0) {
|
| 459 |
+
span.style.background = `rgba(248, 113, 113, ${opacity})`;
|
| 460 |
+
span.style.borderBottom = `2px solid rgba(248, 113, 113, ${opacity + 0.2})`;
|
| 461 |
+
}
|
| 462 |
+
|
| 463 |
+
textEl.appendChild(span);
|
| 464 |
+
textEl.appendChild(document.createTextNode(' '));
|
| 465 |
+
});
|
| 466 |
+
|
| 467 |
+
box.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
|
| 468 |
+
}
|
| 469 |
+
|
| 470 |
+
function simulateSHAP(text) {
|
| 471 |
+
const tokens = text.split(/\s+/);
|
| 472 |
+
const values = tokens.map(() => (Math.random() - 0.4) * 0.2);
|
| 473 |
+
return { tokens, values };
|
| 474 |
+
}
|
| 475 |
+
|
| 476 |
+
|
| 477 |
+
// ── Seeded PRNG (deterministic per text) ──────────────
|
| 478 |
+
function hashText(str) {
|
| 479 |
+
let h = 0;
|
| 480 |
+
for (let i = 0; i < str.length; i++) {
|
| 481 |
+
h = ((h << 5) - h + str.charCodeAt(i)) | 0;
|
| 482 |
+
}
|
| 483 |
+
return Math.abs(h);
|
| 484 |
+
}
|
| 485 |
+
|
| 486 |
+
function seededRandom(seed) {
|
| 487 |
+
let s = seed;
|
| 488 |
+
return function() {
|
| 489 |
+
s = (s * 1664525 + 1013904223) & 0xffffffff;
|
| 490 |
+
return (s >>> 0) / 0xffffffff;
|
| 491 |
+
};
|
| 492 |
+
}
|
| 493 |
+
|
| 494 |
+
// ── Simulation (when API is offline) ──────────────────
|
| 495 |
+
function simulateRouting(text) {
|
| 496 |
+
const t = text.toLowerCase().trim();
|
| 497 |
+
|
| 498 |
+
// Basic validation in simulation to match real API behavior
|
| 499 |
+
if (t.length < 10) {
|
| 500 |
+
const greetings = ['hi', 'hello', 'hey', 'test'];
|
| 501 |
+
if (greetings.some(g => t.startsWith(g))) {
|
| 502 |
+
return {
|
| 503 |
+
action: 'invalid_input',
|
| 504 |
+
error_type: 'greeting',
|
| 505 |
+
response: "Hi there! 👋 Could you describe the issue you're experiencing? We're here to help."
|
| 506 |
+
};
|
| 507 |
+
}
|
| 508 |
+
return {
|
| 509 |
+
action: 'invalid_input',
|
| 510 |
+
error_type: 'too_short',
|
| 511 |
+
response: "Could you share a bit more detail about your issue? We're here to help."
|
| 512 |
+
};
|
| 513 |
+
}
|
| 514 |
+
|
| 515 |
+
const rng = seededRandom(hashText(t)); // deterministic per text
|
| 516 |
+
|
| 517 |
+
const scores = {
|
| 518 |
+
billing: 0.02, technical_support: 0.02, account_management: 0.02,
|
| 519 |
+
feature_request: 0.02, compliance_legal: 0.02, onboarding: 0.02,
|
| 520 |
+
general_inquiry: 0.02, churn_risk: 0.02,
|
| 521 |
+
};
|
| 522 |
+
|
| 523 |
+
// Simple keyword scoring
|
| 524 |
+
const kw = {
|
| 525 |
+
billing: ['invoice','billing','payment','charge','refund','price','cost','subscription','plan','pricing','credit'],
|
| 526 |
+
technical_support: ['error','bug','broken','crash','fix','api','endpoint','500','timeout','issue','not working','failed'],
|
| 527 |
+
account_management: ['account','user','access','permission','settings','profile','password','role'],
|
| 528 |
+
feature_request: ['feature','add','implement','suggest','request','capability','enhancement','wish','could you'],
|
| 529 |
+
compliance_legal: ['gdpr','compliance','audit','regulation','privacy','security','data protection','legal'],
|
| 530 |
+
onboarding: ['new user','setup','getting started','onboarding','first time','just signed up','configure','install'],
|
| 531 |
+
general_inquiry: ['how do','what is','question','information','help','guide','documentation'],
|
| 532 |
+
churn_risk: ['cancel','switch','competitor','alternative','frustrated','unacceptable','leaving','terminate','fed up','last straw'],
|
| 533 |
+
};
|
| 534 |
+
|
| 535 |
+
Object.entries(kw).forEach(([cat, words]) => {
|
| 536 |
+
words.forEach(w => { if (t.includes(w)) scores[cat] += 0.15 + rng() * 0.05; });
|
| 537 |
+
});
|
| 538 |
+
|
| 539 |
+
// Normalize
|
| 540 |
+
const total = Object.values(scores).reduce((a, b) => a + b, 0);
|
| 541 |
+
Object.keys(scores).forEach(k => scores[k] /= total);
|
| 542 |
+
|
| 543 |
+
// Add small deterministic noise (simulate MC Dropout variance)
|
| 544 |
+
Object.keys(scores).forEach(k => {
|
| 545 |
+
scores[k] += (rng() - 0.5) * 0.03;
|
| 546 |
+
scores[k] = Math.max(0.001, scores[k]);
|
| 547 |
+
});
|
| 548 |
+
const total2 = Object.values(scores).reduce((a, b) => a + b, 0);
|
| 549 |
+
Object.keys(scores).forEach(k => scores[k] /= total2);
|
| 550 |
+
|
| 551 |
+
const sorted = Object.entries(scores).sort((a, b) => b[1] - a[1]);
|
| 552 |
+
const confidence = sorted[0][1];
|
| 553 |
+
const entropy = -Object.values(scores).reduce((s, p) => s + p * Math.log(p + 1e-9), 0);
|
| 554 |
+
const topCat = sorted[0][0];
|
| 555 |
+
const topTwo = [sorted[0][0], sorted[1][0]];
|
| 556 |
+
const margin = sorted[0][1] - sorted[1][1];
|
| 557 |
+
|
| 558 |
+
let action, reason;
|
| 559 |
+
const critical_labels = ['compliance_legal', 'account_management'];
|
| 560 |
+
|
| 561 |
+
if (critical_labels.includes(topCat)) {
|
| 562 |
+
if (confidence >= 0.90 && margin >= 0.35 && entropy < 0.60) {
|
| 563 |
+
action = 'route';
|
| 564 |
+
reason = `• Safe to auto-route sensitive intent<br>• Confidence: ${(confidence*100).toFixed(1)}%<br>• Margin: ${margin.toFixed(2)}`;
|
| 565 |
+
} else {
|
| 566 |
+
action = 'escalate';
|
| 567 |
+
reason = `• Escalated sensitive intent (${topCat.replace(/_/g,' ')})<br>• Strict confidence/margin threshold not met`;
|
| 568 |
+
}
|
| 569 |
+
} else {
|
| 570 |
+
if (confidence >= 0.85 && margin >= 0.25 && entropy < 0.70) {
|
| 571 |
+
action = 'route';
|
| 572 |
+
reason = `• Strong dominant intent<br>• Confidence: ${(confidence*100).toFixed(1)}%<br>• Margin: ${margin.toFixed(2)}<br>• Safe to auto-route`;
|
| 573 |
+
} else if (confidence >= 0.60 && entropy < 1.05) {
|
| 574 |
+
action = 'clarify';
|
| 575 |
+
reason = `• Medium ambiguity detected<br>• Clarification needed between ${topTwo[0].replace(/_/g,' ')} and ${topTwo[1].replace(/_/g,' ')}<br>• Margin: ${margin.toFixed(2)}`;
|
| 576 |
+
} else {
|
| 577 |
+
action = 'escalate';
|
| 578 |
+
reason = `• High ambiguity / Low confidence (${(confidence*100).toFixed(1)}%)<br>• Multiple overlapping intents detected<br>• Human triage needed`;
|
| 579 |
+
}
|
| 580 |
+
}
|
| 581 |
+
|
| 582 |
+
// Clarification question
|
| 583 |
+
let clarification = null;
|
| 584 |
+
if (action === 'clarify') {
|
| 585 |
+
const questions = {
|
| 586 |
+
'billing+technical_support': { question_text: 'Is the main issue related to (A) a software error, or (B) your billing or invoice?', options: ['Software error','Billing/invoice'], expected_gain: 0.71 },
|
| 587 |
+
'technical_support+billing': { question_text: 'Is the main issue related to (A) a software error, or (B) your billing or invoice?', options: ['Software error','Billing/invoice'], expected_gain: 0.71 },
|
| 588 |
+
'feature_request+technical_support': { question_text: 'Are you reporting something broken, or requesting a new capability?', options: ['Something broken','New feature'], expected_gain: 0.68 },
|
| 589 |
+
'technical_support+feature_request': { question_text: 'Are you reporting something broken, or requesting a new capability?', options: ['Something broken','New feature'], expected_gain: 0.68 },
|
| 590 |
+
'churn_risk+account_management': { question_text: 'Are you looking to change your plan, or do you have concerns about continuing?', options: ['Change plan','Concerns about continuing'], expected_gain: 0.74 },
|
| 591 |
+
'account_management+churn_risk': { question_text: 'Are you looking to change your plan, or do you have concerns about continuing?', options: ['Change plan','Concerns about continuing'], expected_gain: 0.74 },
|
| 592 |
+
'onboarding+technical_support': { question_text: 'Is this affecting a new user, or an existing user?', options: ['New user','Existing user'], expected_gain: 0.65 },
|
| 593 |
+
'technical_support+onboarding': { question_text: 'Is this affecting a new user, or an existing user?', options: ['New user','Existing user'], expected_gain: 0.65 },
|
| 594 |
+
'compliance_legal+billing': { question_text: 'Does this relate to a regulatory requirement, or to payment/invoicing?', options: ['Regulatory','Payment'], expected_gain: 0.72 },
|
| 595 |
+
'billing+compliance_legal': { question_text: 'Does this relate to a regulatory requirement, or to payment/invoicing?', options: ['Regulatory','Payment'], expected_gain: 0.72 },
|
| 596 |
+
'technical_support+general_inquiry': { question_text: 'Is this a specific technical problem, or a general question about how something works?', options: ['Specific problem','General question'], expected_gain: 0.66 },
|
| 597 |
+
'general_inquiry+technical_support': { question_text: 'Is this a specific technical problem, or a general question about how something works?', options: ['Specific problem','General question'], expected_gain: 0.66 },
|
| 598 |
+
'billing+general_inquiry': { question_text: 'Is your question about a specific charge on your account, or general pricing information?', options: ['Specific charge','General pricing'], expected_gain: 0.64 },
|
| 599 |
+
'general_inquiry+billing': { question_text: 'Is your question about a specific charge on your account, or general pricing information?', options: ['Specific charge','General pricing'], expected_gain: 0.64 },
|
| 600 |
+
'churn_risk+technical_support': { question_text: 'Is the main concern a technical problem you need fixed, or are you considering leaving the platform?', options: ['Technical problem','Considering leaving'], expected_gain: 0.76 },
|
| 601 |
+
'technical_support+churn_risk': { question_text: 'Is the main concern a technical problem you need fixed, or are you considering leaving the platform?', options: ['Technical problem','Considering leaving'], expected_gain: 0.76 },
|
| 602 |
+
};
|
| 603 |
+
const key = topTwo[0] + '+' + topTwo[1];
|
| 604 |
+
clarification = questions[key] || {
|
| 605 |
+
question_text: 'Could you specify whether this is about a technical issue or an account/billing matter?',
|
| 606 |
+
options: ['Technical issue', 'Account/billing'], expected_gain: 0.62,
|
| 607 |
+
};
|
| 608 |
+
clarification.question_id = 'Q_SIM';
|
| 609 |
+
}
|
| 610 |
+
|
| 611 |
+
// Sentiment (basic)
|
| 612 |
+
const negWords = ['frustrated','broken','terrible','angry','worst','cancel','bad','issue','error'];
|
| 613 |
+
const posWords = ['great','thanks','love','good','happy','please'];
|
| 614 |
+
let sentScore = 0;
|
| 615 |
+
negWords.forEach(w => { if (t.includes(w)) sentScore -= 0.25; });
|
| 616 |
+
posWords.forEach(w => { if (t.includes(w)) sentScore += 0.2; });
|
| 617 |
+
sentScore = Math.max(-1, Math.min(1, sentScore));
|
| 618 |
+
|
| 619 |
+
// Urgency
|
| 620 |
+
const urgencyWords = ['urgent','asap','immediately','critical','blocking','production down'];
|
| 621 |
+
const urgencyFlags = urgencyWords.filter(w => t.includes(w));
|
| 622 |
+
|
| 623 |
+
// SLA — deterministic based on text features
|
| 624 |
+
const outageWords = ['down', 'outage', 'crash', 'failing', 'blocked'];
|
| 625 |
+
const outageFlags = outageWords.filter(w => t.includes(w));
|
| 626 |
+
const slaBase = 0.15 + (sentScore < -0.3 ? 0.2 : 0) + (urgencyFlags.length * 0.15) + (outageFlags.length * 0.2);
|
| 627 |
+
const slaBreach = Math.min(Math.round(slaBase * 1000) / 1000, 0.95);
|
| 628 |
+
|
| 629 |
+
return {
|
| 630 |
+
action, confidence: Math.round(confidence * 10000) / 10000,
|
| 631 |
+
entropy: Math.round(entropy * 10000) / 10000,
|
| 632 |
+
margin: Math.round(margin * 10000) / 10000,
|
| 633 |
+
top_category: topCat, all_probs: scores,
|
| 634 |
+
top_two_classes: topTwo, queue: topCat,
|
| 635 |
+
reason, clarification,
|
| 636 |
+
sla_breach_probability: slaBreach,
|
| 637 |
+
features: { sentiment_score: sentScore, urgency_flags: urgencyFlags, text_complexity_score: Math.round(text.split(' ').length / 5 * 100) / 100 },
|
| 638 |
+
latency_ms: 38 + (hashText(t) % 30),
|
| 639 |
+
};
|
| 640 |
+
}
|
dashboard/web/entropy_map.png
ADDED
|
Git LFS Details
|
dashboard/web/index.html
ADDED
|
@@ -0,0 +1,521 @@
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|
|
| 1 |
+
<!DOCTYPE html>
|
| 2 |
+
<html lang="en">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="UTF-8">
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 6 |
+
<title>AetherFlow AI | SupportMind Engine</title>
|
| 7 |
+
<meta name="description" content="AI-powered B2B SaaS ticket routing with MC Dropout uncertainty quantification">
|
| 8 |
+
<link rel="preconnect" href="https://fonts.googleapis.com">
|
| 9 |
+
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800;900&family=JetBrains+Mono:wght@400;500;600&display=swap" rel="stylesheet">
|
| 10 |
+
<link href="https://fonts.googleapis.com/css2?family=Material+Symbols+Outlined:wght,FILL@100..700,0..1&display=swap" rel="stylesheet" />
|
| 11 |
+
<link rel="stylesheet" href="/dashboard/style.css?v=3">
|
| 12 |
+
</head>
|
| 13 |
+
<body>
|
| 14 |
+
<!-- Animated Background -->
|
| 15 |
+
<div class="bg-grid"></div>
|
| 16 |
+
<div class="bg-glow bg-glow-1"></div>
|
| 17 |
+
<div class="bg-glow bg-glow-2"></div>
|
| 18 |
+
<div class="bg-glow bg-glow-3"></div>
|
| 19 |
+
|
| 20 |
+
<!-- Navigation -->
|
| 21 |
+
<nav class="navbar" id="navbar">
|
| 22 |
+
<div class="nav-brand">
|
| 23 |
+
<span class="brand-text">AetherFlow <span class="brand-sub">AI</span></span>
|
| 24 |
+
<span class="brand-badge">SupportMind v1.0</span>
|
| 25 |
+
</div>
|
| 26 |
+
<div class="nav-links">
|
| 27 |
+
<a href="#demo" class="nav-link">Live Demo</a>
|
| 28 |
+
<a href="#architecture" class="nav-link">Architecture</a>
|
| 29 |
+
<a href="#benchmarks" class="nav-link">Benchmarks</a>
|
| 30 |
+
<a href="#api-section" class="nav-link">API</a>
|
| 31 |
+
</div>
|
| 32 |
+
<div class="nav-actions">
|
| 33 |
+
<button class="btn-ghost" style="padding: 8px 16px; font-size: 13px;">Demo Mode</button>
|
| 34 |
+
<button class="btn-primary" style="padding: 8px 20px; font-size: 13px;">Get Started</button>
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</div>
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</nav>
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|
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<!-- Hero Section -->
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<header class="hero" id="hero">
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<div class="hero-container">
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<div class="hero-content">
|
| 42 |
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<div class="hero-eyebrow">
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<span class="status-dot"></span>
|
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Uncertainty-Aware Neural Engine
|
| 45 |
+
</div>
|
| 46 |
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<h1 class="hero-title">
|
| 47 |
+
AI that <span class="gradient-text italic">knows</span> when it doesn't know
|
| 48 |
+
</h1>
|
| 49 |
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<p class="hero-subtitle">
|
| 50 |
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MC Dropout uncertainty quantification on DistilBERT. Three-tier routing:
|
| 51 |
+
<strong>Route</strong> · <strong>Clarify</strong> · <strong>Escalate</strong>.
|
| 52 |
+
Optimize support workflows with surgical precision.
|
| 53 |
+
</p>
|
| 54 |
+
<div class="hero-actions">
|
| 55 |
+
<a href="#demo" class="btn btn-primary">
|
| 56 |
+
Try Live Demo
|
| 57 |
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<span class="material-symbols-outlined btn-icon">arrow_forward</span>
|
| 58 |
+
</a>
|
| 59 |
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<a href="#architecture" class="btn btn-ghost">View Architecture</a>
|
| 60 |
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</div>
|
| 61 |
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</div>
|
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|
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<!-- Hero Visual (Pipeline Preview) -->
|
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<div class="hero-visual">
|
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<div class="pipeline-card glass-panel shimmer-border">
|
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<div class="pipeline-header">
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<div class="dot dot-red"></div>
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<div class="dot dot-amber"></div>
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<div class="dot dot-green"></div>
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</div>
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<span class="pipeline-status">pipeline_status: active</span>
|
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|
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<div class="pipeline-tiers">
|
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<div class="tier-card active">
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|
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<div class="tier-icon"><span class="material-symbols-outlined">account_tree</span></div>
|
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<div>
|
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<div class="tier-name">Tier 1: Auto-Route</div>
|
| 80 |
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<div class="tier-meta">Confidence > 0.92</div>
|
| 81 |
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</div>
|
| 82 |
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</div>
|
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<span class="material-symbols-outlined tier-indicator" style="color: var(--green)">check_circle</span>
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<div class="tier-icon" style="background: rgba(192, 193, 255, 0.4)"><span class="material-symbols-outlined">psychology</span></div>
|
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<div>
|
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<div class="tier-name" style="font-style: italic; color: var(--primary)">Tier 2: Clarification</div>
|
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<div class="tier-meta" style="color: var(--primary)">Ambiguity Detected</div>
|
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</div>
|
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</div>
|
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<div style="width: 48px; height: 6px; background: rgba(192, 193, 255, 0.2); border-radius: 10px; overflow: hidden;">
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<div style="width: 66%; height: 100%; background: var(--primary)"></div>
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</div>
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</div>
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<div class="tier-card">
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<div class="tier-info">
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<div class="tier-icon" style="background: rgba(248, 113, 113, 0.15); color: var(--red)"><span class="material-symbols-outlined">support_agent</span></div>
|
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<div>
|
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<div class="tier-name">Tier 3: Escalate</div>
|
| 102 |
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<div class="tier-meta">Human Protocol</div>
|
| 103 |
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</div>
|
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</div>
|
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<span class="material-symbols-outlined tier-indicator" style="color: #444">sync_alt</span>
|
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</div>
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</div>
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</div>
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</header>
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|
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<!-- Stats Grid -->
|
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<div class="hero-stats">
|
| 115 |
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<div class="stat-card glass-panel" data-value="57.3" data-suffix="%">
|
| 116 |
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<div class="stat-label">OOD Routing Accuracy</div>
|
| 117 |
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<div class="stat-value"><span class="counter">0</span>%</div>
|
| 118 |
+
<div class="stat-delta positive"><span class="material-symbols-outlined" style="font-size: 14px">trending_up</span> 100% on auto-routed</div>
|
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</div>
|
| 120 |
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<div class="stat-card glass-panel" data-value="100.0" data-suffix="%">
|
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<div class="stat-label">Auto-Route Precision</div>
|
| 122 |
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<div class="stat-value"><span class="counter">0</span>%</div>
|
| 123 |
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<div class="stat-delta positive">Zero false auto-routes</div>
|
| 124 |
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</div>
|
| 125 |
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<div class="stat-card glass-panel" data-value="97.9" data-suffix="%">
|
| 126 |
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<div class="stat-label">Safe Failure Rate</div>
|
| 127 |
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<div class="stat-value"><span class="counter">0</span>%</div>
|
| 128 |
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<div class="stat-delta positive">Flagged for human review</div>
|
| 129 |
+
</div>
|
| 130 |
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<div class="stat-card glass-panel" data-value="45" data-suffix="ms">
|
| 131 |
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<div class="stat-label">Pipeline Latency</div>
|
| 132 |
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<div class="stat-value"><span class="counter">0</span>ms</div>
|
| 133 |
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<div class="stat-delta" style="color: #666">DistilBERT Optimized</div>
|
| 134 |
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</div>
|
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</div>
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|
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<!-- Live Demo Section -->
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<section class="section" id="demo">
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<div class="section-header">
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| 140 |
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<span class="section-badge">Interactive</span>
|
| 141 |
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<h2 class="section-title">Live Ticket Router</h2>
|
| 142 |
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<p class="section-desc">Type a support ticket and watch the confidence-gated router decide in real-time</p>
|
| 143 |
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</div>
|
| 144 |
+
|
| 145 |
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<div class="demo-container">
|
| 146 |
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<div class="demo-input-panel glass-panel">
|
| 147 |
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<label class="input-label">Support Ticket Text</label>
|
| 148 |
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<textarea id="ticket-input" class="ticket-textarea" rows="4" placeholder="e.g., We have been having issues with the export function since last Tuesday's update..."></textarea>
|
| 149 |
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<div class="demo-presets">
|
| 150 |
+
<span class="preset-label">Try:</span>
|
| 151 |
+
<button class="preset-btn" data-text="My invoice from last month shows $299 but my plan is $199. Please fix this billing error immediately.">Billing</button>
|
| 152 |
+
<button class="preset-btn" data-text="The API endpoint /v2/export returns a 500 error when batch size exceeds 1000 records. Stack trace attached.">Technical</button>
|
| 153 |
+
<button class="preset-btn" data-text="Hey, we have been having issues with the export function since last Tuesday's update. Also our invoice from last month looks incorrect.">Ambiguous</button>
|
| 154 |
+
</div>
|
| 155 |
+
<button id="route-btn" class="btn btn-primary btn-full" onclick="routeTicket()">
|
| 156 |
+
⚡ Route Ticket
|
| 157 |
+
</button>
|
| 158 |
+
</div>
|
| 159 |
+
|
| 160 |
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<div class="demo-results-panel glass-panel" id="results-panel">
|
| 161 |
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<div class="result-placeholder" id="result-placeholder">
|
| 162 |
+
<div class="placeholder-icon">🎯</div>
|
| 163 |
+
<p>Enter a ticket and click "Route Ticket" to see the confidence-gated decision</p>
|
| 164 |
+
</div>
|
| 165 |
+
|
| 166 |
+
<div class="result-content" id="result-content" style="display:none">
|
| 167 |
+
<!-- Action Badge -->
|
| 168 |
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<div class="action-badge-container">
|
| 169 |
+
<div class="action-badge" id="action-badge">ROUTE</div>
|
| 170 |
+
<div class="action-queue" id="action-queue"></div>
|
| 171 |
+
</div>
|
| 172 |
+
|
| 173 |
+
<!-- Confidence & Margin & Entropy Gauges -->
|
| 174 |
+
<div class="gauge-row">
|
| 175 |
+
<div class="gauge-container">
|
| 176 |
+
<label class="gauge-label">Confidence</label>
|
| 177 |
+
<div class="gauge-track">
|
| 178 |
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<div class="gauge-fill" id="conf-fill" style="width:0%"></div>
|
| 179 |
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<div class="gauge-zones">
|
| 180 |
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<div class="zone zone-red" style="width:55%"></div>
|
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<div class="zone zone-yellow" style="width:25%"></div>
|
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<div class="zone zone-green" style="width:20%"></div>
|
| 183 |
+
</div>
|
| 184 |
+
</div>
|
| 185 |
+
<div class="gauge-value" id="conf-value">0.0000</div>
|
| 186 |
+
</div>
|
| 187 |
+
<div class="gauge-container">
|
| 188 |
+
<label class="gauge-label">Top-2 Margin</label>
|
| 189 |
+
<div class="gauge-track margin-track">
|
| 190 |
+
<div class="gauge-fill margin-fill" id="margin-fill" style="width:0%; background: linear-gradient(90deg, var(--accent), var(--primary));"></div>
|
| 191 |
+
</div>
|
| 192 |
+
<div class="gauge-value" id="margin-value">0.0000</div>
|
| 193 |
+
</div>
|
| 194 |
+
<div class="gauge-container">
|
| 195 |
+
<label class="gauge-label">Shannon Entropy</label>
|
| 196 |
+
<div class="gauge-track entropy-track">
|
| 197 |
+
<div class="gauge-fill entropy-fill" id="ent-fill" style="width:0%"></div>
|
| 198 |
+
</div>
|
| 199 |
+
<div class="gauge-value" id="ent-value">0.0000</div>
|
| 200 |
+
</div>
|
| 201 |
+
</div>
|
| 202 |
+
|
| 203 |
+
<!-- Probability Distribution -->
|
| 204 |
+
<div class="prob-chart" id="prob-chart"></div>
|
| 205 |
+
|
| 206 |
+
<!-- Clarification Question (if action=clarify) -->
|
| 207 |
+
<div class="clarification-box" id="clarification-box" style="display:none">
|
| 208 |
+
<div class="clarify-header">💡 Suggested Clarification Question</div>
|
| 209 |
+
<div class="clarify-question" id="clarify-question"></div>
|
| 210 |
+
<div class="clarify-options" id="clarify-options"></div>
|
| 211 |
+
<div class="clarify-gain" id="clarify-gain"></div>
|
| 212 |
+
</div>
|
| 213 |
+
|
| 214 |
+
<!-- Additional Signals -->
|
| 215 |
+
<div class="signals-grid">
|
| 216 |
+
<div class="signal-card">
|
| 217 |
+
<div class="signal-label" style="display: flex; flex-direction: column;">
|
| 218 |
+
SLA Breach Risk
|
| 219 |
+
<span style="font-size: 9px; color: var(--yellow); margin-top: 2px;">*Demo fallback: 4.5 hrs avg</span>
|
| 220 |
+
</div>
|
| 221 |
+
<div class="signal-value" id="sla-value">—</div>
|
| 222 |
+
<div class="signal-bar"><div class="signal-fill" id="sla-fill"></div></div>
|
| 223 |
+
</div>
|
| 224 |
+
<div class="signal-card">
|
| 225 |
+
<div class="signal-label">Sentiment</div>
|
| 226 |
+
<div class="signal-value" id="sentiment-value">—</div>
|
| 227 |
+
</div>
|
| 228 |
+
<div class="signal-card">
|
| 229 |
+
<div class="signal-label">Urgency</div>
|
| 230 |
+
<div class="signal-value" id="urgency-value">—</div>
|
| 231 |
+
</div>
|
| 232 |
+
<div class="signal-card">
|
| 233 |
+
<div class="signal-label">Latency</div>
|
| 234 |
+
<div class="signal-value" id="latency-value">—</div>
|
| 235 |
+
</div>
|
| 236 |
+
</div>
|
| 237 |
+
|
| 238 |
+
<div class="result-reason" id="result-reason"></div>
|
| 239 |
+
|
| 240 |
+
<!-- SHAP Explanation -->
|
| 241 |
+
<div class="explanation-box" id="explanation-box" style="display:none">
|
| 242 |
+
<div class="explain-header">
|
| 243 |
+
<span class="material-symbols-outlined">analytics</span>
|
| 244 |
+
Decision Interpretability (SHAP)
|
| 245 |
+
</div>
|
| 246 |
+
<div class="explain-text" id="explain-text"></div>
|
| 247 |
+
<div class="explain-legend">
|
| 248 |
+
<span class="legend-item"><span class="highlight-box pos"></span> Increases confidence</span>
|
| 249 |
+
<span class="legend-item"><span class="highlight-box neg"></span> Decreases confidence</span>
|
| 250 |
+
</div>
|
| 251 |
+
</div>
|
| 252 |
+
|
| 253 |
+
<button id="explain-btn" class="btn btn-ghost btn-full" style="margin-top: 10px; display: none;" onclick="explainDecision()">
|
| 254 |
+
<span class="material-symbols-outlined btn-icon">query_stats</span>
|
| 255 |
+
Analyze Decision (SHAP)
|
| 256 |
+
</button>
|
| 257 |
+
</div>
|
| 258 |
+
|
| 259 |
+
</div>
|
| 260 |
+
</div>
|
| 261 |
+
</section>
|
| 262 |
+
|
| 263 |
+
<!-- Architecture Section -->
|
| 264 |
+
<section class="section section-dark" id="architecture">
|
| 265 |
+
<div class="section-header">
|
| 266 |
+
<span class="section-badge">Technical</span>
|
| 267 |
+
<h2 class="section-title">System Architecture</h2>
|
| 268 |
+
<p class="section-desc">Three-stage pipeline with MC Dropout confidence gating</p>
|
| 269 |
+
</div>
|
| 270 |
+
|
| 271 |
+
<div class="arch-pipeline">
|
| 272 |
+
<div class="arch-stage glass-panel">
|
| 273 |
+
<div class="stage-number">1</div>
|
| 274 |
+
<div class="stage-title">Feature Extraction</div>
|
| 275 |
+
<div class="stage-details">
|
| 276 |
+
<span class="tech-tag">DistilBERT</span>
|
| 277 |
+
<span class="tech-tag">VADER</span>
|
| 278 |
+
</div>
|
| 279 |
+
<p class="stage-desc">768-dim embedding + sentiment + urgency</p>
|
| 280 |
+
</div>
|
| 281 |
+
<div class="arch-arrow">→</div>
|
| 282 |
+
<div class="arch-stage glass-panel stage-highlight">
|
| 283 |
+
<div class="stage-number">2</div>
|
| 284 |
+
<div class="stage-title">Confidence-Gated Router</div>
|
| 285 |
+
<div class="stage-details">
|
| 286 |
+
<span class="tech-tag">MC Dropout</span>
|
| 287 |
+
<span class="tech-tag">Shannon Entropy</span>
|
| 288 |
+
</div>
|
| 289 |
+
<p class="stage-desc">3-tier decision gate (20 stochastic passes)</p>
|
| 290 |
+
</div>
|
| 291 |
+
<div class="arch-arrow">→</div>
|
| 292 |
+
<div class="arch-stage glass-panel">
|
| 293 |
+
<div class="stage-number">3</div>
|
| 294 |
+
<div class="stage-title">Intelligence Layer</div>
|
| 295 |
+
<div class="stage-details">
|
| 296 |
+
<span class="tech-tag">XGBoost SLA</span>
|
| 297 |
+
<span class="tech-tag">Churn Signal</span>
|
| 298 |
+
</div>
|
| 299 |
+
<p class="stage-desc">SLA breach prediction (AUC 0.83)</p>
|
| 300 |
+
</div>
|
| 301 |
+
</div>
|
| 302 |
+
|
| 303 |
+
<!-- MC Dropout Visualization -->
|
| 304 |
+
<div class="mc-dropout-viz glass-panel">
|
| 305 |
+
<h3 class="viz-title">Monte Carlo Dropout — 20 Stochastic Forward Passes</h3>
|
| 306 |
+
<p class="viz-desc">Each pass randomly deactivates different neurons, producing a distribution of predictions instead of a single overconfident output.</p>
|
| 307 |
+
<div class="dropout-grid" id="dropout-grid"></div>
|
| 308 |
+
<div class="dropout-legend">
|
| 309 |
+
<span><span class="legend-dot" style="background:#6366f1"></span> Active neuron</span>
|
| 310 |
+
<span><span class="legend-dot" style="background:#1e1b4b; border:1px solid #4338ca"></span> Dropped out</span>
|
| 311 |
+
</div>
|
| 312 |
+
</div>
|
| 313 |
+
|
| 314 |
+
<!-- Competitor Comparison -->
|
| 315 |
+
<div class="competitor-table-wrap">
|
| 316 |
+
<h3 class="viz-title">Competitor Architecture Gap</h3>
|
| 317 |
+
<table class="competitor-table">
|
| 318 |
+
<thead>
|
| 319 |
+
<tr>
|
| 320 |
+
<th>Platform</th>
|
| 321 |
+
<th>AI Feature</th>
|
| 322 |
+
<th>Handles Ambiguity?</th>
|
| 323 |
+
<th>Clarification?</th>
|
| 324 |
+
<th>Entropy Output?</th>
|
| 325 |
+
</tr>
|
| 326 |
+
</thead>
|
| 327 |
+
<tbody>
|
| 328 |
+
<tr><td>Zoho Desk</td><td>Zia Field Predictions</td><td class="cell-no">Binary fail</td><td class="cell-no">No</td><td class="cell-no">No</td></tr>
|
| 329 |
+
<tr><td>Freshdesk</td><td>Freddy Auto Triage</td><td class="cell-no">Majority-class default</td><td class="cell-no">No</td><td class="cell-no">No</td></tr>
|
| 330 |
+
<tr><td>Zendesk</td><td>Intelligent Triage</td><td class="cell-no">General queue fallback</td><td class="cell-no">No</td><td class="cell-partial">Static only</td></tr>
|
| 331 |
+
<tr><td>Salesforce</td><td>Einstein Classification</td><td class="cell-no">Fails on unstructured</td><td class="cell-no">No</td><td class="cell-no">No</td></tr>
|
| 332 |
+
<tr class="row-highlight"><td><strong>SupportMind</strong></td><td>Confidence-Gated Router</td><td class="cell-yes">3-tier gate</td><td class="cell-yes">47 templates</td><td class="cell-yes">Real-time Shannon</td></tr>
|
| 333 |
+
</tbody>
|
| 334 |
+
</table>
|
| 335 |
+
</div>
|
| 336 |
+
</section>
|
| 337 |
+
|
| 338 |
+
<!-- Benchmarks Section -->
|
| 339 |
+
<section class="section" id="benchmarks">
|
| 340 |
+
<div class="section-header">
|
| 341 |
+
<span class="section-badge">Results</span>
|
| 342 |
+
<h2 class="section-title">Honest Dual-Evaluation</h2>
|
| 343 |
+
<p class="section-desc">Transparent benchmarks: in-distribution synthetic data + out-of-distribution hand-crafted tickets</p>
|
| 344 |
+
</div>
|
| 345 |
+
|
| 346 |
+
<!-- OOD Transparency Note -->
|
| 347 |
+
<div class="glass-panel" style="margin-bottom: 32px; padding: 20px 24px; border-left: 3px solid var(--yellow);">
|
| 348 |
+
<div style="font-size: 13px; color: var(--on-surface-variant); line-height: 1.7;">
|
| 349 |
+
<strong style="color: var(--yellow);">Why two sets of numbers?</strong>
|
| 350 |
+
The <strong>In-Distribution</strong> set (100% accuracy) confirms the model learned its training distribution.
|
| 351 |
+
The <strong>Out-of-Distribution</strong> set (57.3% accuracy on 96 hand-crafted tickets) is the honest estimate of real-world generalization.
|
| 352 |
+
On OOD data, the model auto-routed only <strong>2.1%</strong> of tickets (with 100% precision) and safely flagged the rest for human review.
|
| 353 |
+
</div>
|
| 354 |
+
</div>
|
| 355 |
+
|
| 356 |
+
<div class="benchmark-grid">
|
| 357 |
+
<div class="bench-card glass-panel">
|
| 358 |
+
<div class="bench-metric">Overall Routing Accuracy</div>
|
| 359 |
+
<div class="bench-compare">
|
| 360 |
+
<div class="bench-bar-group">
|
| 361 |
+
<div class="bench-label">In-Distribution (synthetic)</div>
|
| 362 |
+
<div class="bench-bar"><div class="bench-fill baseline" style="width:100%"><span>100.0%</span></div></div>
|
| 363 |
+
</div>
|
| 364 |
+
<div class="bench-bar-group">
|
| 365 |
+
<div class="bench-label">Out-of-Distribution (OOD)</div>
|
| 366 |
+
<div class="bench-bar"><div class="bench-fill ours" style="width:57.3%"><span>57.3%</span></div></div>
|
| 367 |
+
</div>
|
| 368 |
+
</div>
|
| 369 |
+
<div class="bench-delta" style="color: var(--on-surface-variant); font-size: 11px;">OOD = honest generalization estimate</div>
|
| 370 |
+
</div>
|
| 371 |
+
<div class="bench-card glass-panel">
|
| 372 |
+
<div class="bench-metric">Precision on Auto-Routed</div>
|
| 373 |
+
<div class="bench-compare">
|
| 374 |
+
<div class="bench-bar-group">
|
| 375 |
+
<div class="bench-label">In-Distribution</div>
|
| 376 |
+
<div class="bench-bar"><div class="bench-fill baseline" style="width:100%"><span>100.0%</span></div></div>
|
| 377 |
+
</div>
|
| 378 |
+
<div class="bench-bar-group">
|
| 379 |
+
<div class="bench-label">Out-of-Distribution</div>
|
| 380 |
+
<div class="bench-bar"><div class="bench-fill ours" style="width:100%"><span>100.0%</span></div></div>
|
| 381 |
+
</div>
|
| 382 |
+
</div>
|
| 383 |
+
<div class="bench-delta positive">Zero false auto-routes on novel data</div>
|
| 384 |
+
</div>
|
| 385 |
+
<div class="bench-card glass-panel">
|
| 386 |
+
<div class="bench-metric">OOD Routing Gate Distribution</div>
|
| 387 |
+
<div class="bench-compare">
|
| 388 |
+
<div class="bench-bar-group">
|
| 389 |
+
<div class="bench-label" style="color: var(--green)">Auto-Routed (safe)</div>
|
| 390 |
+
<div class="bench-bar"><div class="bench-fill ours" style="width:2.1%; min-width: 32px;"><span>2.1%</span></div></div>
|
| 391 |
+
</div>
|
| 392 |
+
<div class="bench-bar-group">
|
| 393 |
+
<div class="bench-label" style="color: var(--yellow)">Clarify (flagged)</div>
|
| 394 |
+
<div class="bench-bar"><div class="bench-fill" style="width:51%; background: var(--yellow);"><span>51.0%</span></div></div>
|
| 395 |
+
</div>
|
| 396 |
+
<div class="bench-bar-group">
|
| 397 |
+
<div class="bench-label" style="color: var(--red)">Escalated (flagged)</div>
|
| 398 |
+
<div class="bench-bar"><div class="bench-fill" style="width:46.9%; background: var(--red);"><span>46.9%</span></div></div>
|
| 399 |
+
</div>
|
| 400 |
+
</div>
|
| 401 |
+
<div class="bench-delta positive">97.9% safely flagged for human review</div>
|
| 402 |
+
</div>
|
| 403 |
+
<div class="bench-card glass-panel">
|
| 404 |
+
<div class="bench-metric">OOD Ambiguous Accuracy</div>
|
| 405 |
+
<div class="bench-compare">
|
| 406 |
+
<div class="bench-bar-group">
|
| 407 |
+
<div class="bench-label">Hand-crafted ambiguous tickets</div>
|
| 408 |
+
<div class="bench-bar"><div class="bench-fill ours" style="width:30%"><span>30.0%</span></div></div>
|
| 409 |
+
</div>
|
| 410 |
+
</div>
|
| 411 |
+
<div class="bench-delta" style="color: var(--on-surface-variant); font-size: 11px;">Model correctly defers these to clarification</div>
|
| 412 |
+
</div>
|
| 413 |
+
</div>
|
| 414 |
+
|
| 415 |
+
<!-- Real-Time System Insights -->
|
| 416 |
+
<div class="glass-panel" style="margin-top: 40px; padding: 30px; border-top: 1px solid rgba(192, 193, 255, 0.2); background: linear-gradient(180deg, rgba(10, 10, 18, 0.4) 0%, rgba(10, 10, 18, 0.8) 100%);">
|
| 417 |
+
<div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 32px;">
|
| 418 |
+
<div>
|
| 419 |
+
<h3 class="viz-title" style="margin: 0; font-size: 18px; letter-spacing: 1px; color: #fff;">System Health & Performance</h3>
|
| 420 |
+
<p style="font-size: 12px; color: var(--on-surface-variant); margin-top: 4px;">Real-time telemetry from the SupportMind Engine</p>
|
| 421 |
+
</div>
|
| 422 |
+
<div id="live-indicator" class="flex items-center gap-2" style="background: rgba(34, 197, 94, 0.1); padding: 6px 12px; border-radius: 20px; border: 1px solid rgba(34, 197, 94, 0.2);">
|
| 423 |
+
<span class="status-dot" style="background: #22c55e; box-shadow: 0 0 10px #22c55e;"></span>
|
| 424 |
+
<span style="font-size: 11px; font-weight: 600; color: #22c55e; text-transform: uppercase; letter-spacing: 0.5px;">Live Telemetry</span>
|
| 425 |
+
</div>
|
| 426 |
+
</div>
|
| 427 |
+
|
| 428 |
+
<div class="grid grid-cols-1 md:grid-cols-4 gap-6">
|
| 429 |
+
<div class="insight-card glass-panel" style="padding: 20px; background: rgba(255,255,255,0.02);">
|
| 430 |
+
<div class="insight-label" style="font-size: 11px; text-transform: uppercase; color: var(--primary); margin-bottom: 12px; font-weight: 600;">Active Model Engine</div>
|
| 431 |
+
<div id="live-model" class="insight-value" style="font-family: 'JetBrains Mono', monospace; font-size: 13px; color: #fff;">Syncing...</div>
|
| 432 |
+
<div style="margin-top: 12px; font-size: 10px; color: var(--green);">● GPU Optimized Fallback</div>
|
| 433 |
+
</div>
|
| 434 |
+
|
| 435 |
+
<div class="insight-card glass-panel" style="padding: 20px; background: rgba(255,255,255,0.02); grid-column: span 2;">
|
| 436 |
+
<div class="insight-label" style="font-size: 11px; text-transform: uppercase; color: var(--primary); margin-bottom: 12px; font-weight: 600;">Routing Efficiency Distribution</div>
|
| 437 |
+
<div id="live-dist" class="insight-value">
|
| 438 |
+
<div style="display: flex; gap: 4px; height: 12px; border-radius: 6px; overflow: hidden; background: rgba(255,255,255,0.05);">
|
| 439 |
+
<div id="dist-route" style="width: 0%; background: linear-gradient(90deg, #22c55e, #4ade80); transition: width 0.8s cubic-bezier(0.4, 0, 0.2, 1);"></div>
|
| 440 |
+
<div id="dist-clarify" style="width: 0%; background: linear-gradient(90deg, #f59e0b, #fbbf24); transition: width 0.8s cubic-bezier(0.4, 0, 0.2, 1);"></div>
|
| 441 |
+
<div id="dist-escalate" style="width: 0%; background: linear-gradient(90deg, #ef4444, #f87171); transition: width 0.8s cubic-bezier(0.4, 0, 0.2, 1);"></div>
|
| 442 |
+
</div>
|
| 443 |
+
<div style="display: flex; justify-content: space-between; font-size: 10px; margin-top: 10px; font-weight: 500;">
|
| 444 |
+
<span style="color: #4ade80;">Auto-Route</span>
|
| 445 |
+
<span style="color: #fbbf24;">Clarify</span>
|
| 446 |
+
<span style="color: #f87171;">Escalate</span>
|
| 447 |
+
</div>
|
| 448 |
+
</div>
|
| 449 |
+
</div>
|
| 450 |
+
|
| 451 |
+
<div class="insight-card glass-panel" style="padding: 20px; background: rgba(255,255,255,0.02); text-align: right;">
|
| 452 |
+
<div class="insight-label" style="font-size: 11px; text-transform: uppercase; color: var(--primary); margin-bottom: 4px; font-weight: 600;">Lifetime Triage</div>
|
| 453 |
+
<div id="live-total" class="insight-value" style="font-size: 32px; font-weight: 800; color: #fff; font-family: 'Inter', sans-serif;">0</div>
|
| 454 |
+
<div style="font-size: 10px; color: var(--on-surface-variant);">Tickets Orchestrated</div>
|
| 455 |
+
</div>
|
| 456 |
+
</div>
|
| 457 |
+
</div>
|
| 458 |
+
|
| 459 |
+
</section>
|
| 460 |
+
|
| 461 |
+
<!-- API Section -->
|
| 462 |
+
<section class="section section-dark" id="api-section">
|
| 463 |
+
<div class="section-header">
|
| 464 |
+
<span class="section-badge">Developer</span>
|
| 465 |
+
<h2 class="section-title">API Reference</h2>
|
| 466 |
+
<p class="section-desc">RESTful API with FastAPI — complete documentation at <code>/docs</code></p>
|
| 467 |
+
</div>
|
| 468 |
+
<div class="api-grid">
|
| 469 |
+
<div class="api-card">
|
| 470 |
+
<div class="api-method post">POST</div>
|
| 471 |
+
<code class="api-path">/route</code>
|
| 472 |
+
<p class="api-desc">Main routing endpoint — returns 3-tier confidence-gated decision</p>
|
| 473 |
+
</div>
|
| 474 |
+
<div class="api-card">
|
| 475 |
+
<div class="api-method post">POST</div>
|
| 476 |
+
<code class="api-path">/clarify</code>
|
| 477 |
+
<p class="api-desc">Get best clarification question for uncertain ticket</p>
|
| 478 |
+
</div>
|
| 479 |
+
<div class="api-card">
|
| 480 |
+
<div class="api-method post">POST</div>
|
| 481 |
+
<code class="api-path">/sla/predict</code>
|
| 482 |
+
<p class="api-desc">Predict SLA breach risk at ticket creation</p>
|
| 483 |
+
</div>
|
| 484 |
+
<div class="api-card">
|
| 485 |
+
<div class="api-method post">POST</div>
|
| 486 |
+
<code class="api-path">/churn/signal</code>
|
| 487 |
+
<p class="api-desc">Extract churn signal from thread history</p>
|
| 488 |
+
</div>
|
| 489 |
+
<div class="api-card">
|
| 490 |
+
<div class="api-method get">GET</div>
|
| 491 |
+
<code class="api-path">/metrics</code>
|
| 492 |
+
<p class="api-desc">Live system health and routing statistics</p>
|
| 493 |
+
</div>
|
| 494 |
+
<div class="api-card">
|
| 495 |
+
<div class="api-method get">GET</div>
|
| 496 |
+
<code class="api-path">/health</code>
|
| 497 |
+
<p class="api-desc">Health check for deployment pipelines</p>
|
| 498 |
+
</div>
|
| 499 |
+
</div>
|
| 500 |
+
</section>
|
| 501 |
+
|
| 502 |
+
<!-- Footer -->
|
| 503 |
+
<footer class="footer">
|
| 504 |
+
<div class="footer-content" style="max-width: 1200px; display: flex; justify-content: space-between; align-items: center;">
|
| 505 |
+
<div style="text-align: left;">
|
| 506 |
+
<div class="footer-brand" style="font-size: 24px; color: #fff;">AetherFlow</div>
|
| 507 |
+
<div class="footer-author">© 2026 AetherFlow Technologies. Intelligence through Clarity.</div>
|
| 508 |
+
</div>
|
| 509 |
+
<div class="footer-tech" style="display: flex; gap: 24px;">
|
| 510 |
+
<span>Privacy Policy</span>
|
| 511 |
+
<span>Terms of Service</span>
|
| 512 |
+
<span>Security</span>
|
| 513 |
+
<span>Status</span>
|
| 514 |
+
<span>Contact</span>
|
| 515 |
+
</div>
|
| 516 |
+
</div>
|
| 517 |
+
</footer>
|
| 518 |
+
|
| 519 |
+
<script src="/dashboard/app.js?v=4"></script>
|
| 520 |
+
</body>
|
| 521 |
+
</html>
|
dashboard/web/style.css
ADDED
|
@@ -0,0 +1,598 @@
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|
| 1 |
+
/* SupportMind Dashboard — style.css */
|
| 2 |
+
:root {
|
| 3 |
+
/* AetherFlow Design Tokens */
|
| 4 |
+
--bg: #0d0d15;
|
| 5 |
+
--surface: #13131b;
|
| 6 |
+
--surface-container: #1f1f27;
|
| 7 |
+
--surface-bright: #393841;
|
| 8 |
+
--primary: #c0c1ff;
|
| 9 |
+
--primary-container: #8083ff;
|
| 10 |
+
--on-primary: #1000a9;
|
| 11 |
+
--secondary: #89ceff;
|
| 12 |
+
--accent: #8b5cf6;
|
| 13 |
+
--text: #e4e1ed;
|
| 14 |
+
--text-dim: #c7c4d7;
|
| 15 |
+
--border: rgba(255, 255, 255, 0.08);
|
| 16 |
+
--glass: rgba(255, 255, 255, 0.05);
|
| 17 |
+
--glass-border: rgba(255, 255, 255, 0.1);
|
| 18 |
+
|
| 19 |
+
--green: #4ade80;
|
| 20 |
+
--yellow: #facc15;
|
| 21 |
+
--red: #f87171;
|
| 22 |
+
--orange: #fb923c;
|
| 23 |
+
|
| 24 |
+
--font: 'Inter', system-ui, -apple-system, sans-serif;
|
| 25 |
+
--mono: 'JetBrains Mono', monospace;
|
| 26 |
+
--radius: 12px;
|
| 27 |
+
--radius-lg: 24px;
|
| 28 |
+
--radius-xl: 32px;
|
| 29 |
+
}
|
| 30 |
+
|
| 31 |
+
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
|
| 32 |
+
|
| 33 |
+
html { scroll-behavior: smooth; }
|
| 34 |
+
|
| 35 |
+
body {
|
| 36 |
+
font-family: var(--font);
|
| 37 |
+
background: var(--bg);
|
| 38 |
+
color: var(--text);
|
| 39 |
+
line-height: 1.6;
|
| 40 |
+
overflow-x: hidden;
|
| 41 |
+
}
|
| 42 |
+
|
| 43 |
+
/* Glassmorphism */
|
| 44 |
+
.glass-panel {
|
| 45 |
+
background: var(--glass);
|
| 46 |
+
backdrop-filter: blur(12px);
|
| 47 |
+
-webkit-backdrop-filter: blur(12px);
|
| 48 |
+
border: 1px solid var(--glass-border);
|
| 49 |
+
}
|
| 50 |
+
|
| 51 |
+
.shimmer-border {
|
| 52 |
+
position: relative;
|
| 53 |
+
overflow: hidden;
|
| 54 |
+
}
|
| 55 |
+
|
| 56 |
+
.shimmer-border::after {
|
| 57 |
+
content: "";
|
| 58 |
+
position: absolute;
|
| 59 |
+
top: 0; left: 0; right: 0;
|
| 60 |
+
height: 1px;
|
| 61 |
+
background: linear-gradient(90deg, transparent, var(--primary), transparent);
|
| 62 |
+
opacity: 0.3;
|
| 63 |
+
animation: shimmer 3s infinite linear;
|
| 64 |
+
}
|
| 65 |
+
|
| 66 |
+
@keyframes shimmer {
|
| 67 |
+
0% { transform: translateX(-100%); }
|
| 68 |
+
100% { transform: translateX(100%); }
|
| 69 |
+
}
|
| 70 |
+
|
| 71 |
+
/* Nav */
|
| 72 |
+
.navbar {
|
| 73 |
+
position: fixed; top: 0; left: 0; right: 0; z-index: 100;
|
| 74 |
+
display: flex; align-items: center; justify-content: space-between;
|
| 75 |
+
padding: 16px 40px;
|
| 76 |
+
background: rgba(13, 13, 21, 0.8);
|
| 77 |
+
backdrop-filter: blur(20px);
|
| 78 |
+
border-bottom: 1px solid var(--border);
|
| 79 |
+
height: 64px;
|
| 80 |
+
}
|
| 81 |
+
.nav-brand { display: flex; align-items: center; gap: 10px; }
|
| 82 |
+
.brand-icon { display: flex; }
|
| 83 |
+
.brand-text { font-weight: 700; font-size: 18px; }
|
| 84 |
+
.brand-badge {
|
| 85 |
+
font-size: 10px; padding: 2px 8px; border-radius: 20px;
|
| 86 |
+
background: var(--surface2); color: var(--text2); font-weight: 600;
|
| 87 |
+
}
|
| 88 |
+
.nav-links { display: flex; gap: 8px; }
|
| 89 |
+
.nav-link {
|
| 90 |
+
color: var(--text2); text-decoration: none; font-size: 14px; font-weight: 500;
|
| 91 |
+
padding: 6px 14px; border-radius: 8px; transition: all 0.2s;
|
| 92 |
+
}
|
| 93 |
+
.nav-link:hover { color: var(--text); background: var(--surface2); }
|
| 94 |
+
.nav-status { display: flex; align-items: center; gap: 8px; font-size: 13px; color: var(--green); }
|
| 95 |
+
.status-dot {
|
| 96 |
+
width: 8px; height: 8px; border-radius: 50%; background: var(--green);
|
| 97 |
+
animation: pulse 2s ease-in-out infinite;
|
| 98 |
+
}
|
| 99 |
+
@keyframes pulse { 0%,100% { opacity: 1; } 50% { opacity: 0.4; } }
|
| 100 |
+
|
| 101 |
+
/* Hero */
|
| 102 |
+
.hero {
|
| 103 |
+
position: relative; z-index: 1;
|
| 104 |
+
padding: 120px 40px 80px;
|
| 105 |
+
max-width: 1400px; margin: 0 auto;
|
| 106 |
+
}
|
| 107 |
+
|
| 108 |
+
.hero-container {
|
| 109 |
+
display: grid;
|
| 110 |
+
grid-template-columns: 1.2fr 1fr;
|
| 111 |
+
gap: 80px;
|
| 112 |
+
align-items: center;
|
| 113 |
+
}
|
| 114 |
+
|
| 115 |
+
.hero-content { text-align: left; }
|
| 116 |
+
|
| 117 |
+
.hero-eyebrow {
|
| 118 |
+
display: inline-flex; align-items: center; gap: 8px;
|
| 119 |
+
padding: 6px 16px; border-radius: 100px;
|
| 120 |
+
background: rgba(192, 193, 255, 0.1);
|
| 121 |
+
color: var(--primary);
|
| 122 |
+
font-size: 12px; font-weight: 700;
|
| 123 |
+
text-transform: uppercase; letter-spacing: 1px;
|
| 124 |
+
margin-bottom: 32px;
|
| 125 |
+
}
|
| 126 |
+
|
| 127 |
+
.hero-title {
|
| 128 |
+
font-size: clamp(48px, 5vw, 72px); font-weight: 800;
|
| 129 |
+
line-height: 1.05; margin-bottom: 24px;
|
| 130 |
+
color: #fff;
|
| 131 |
+
letter-spacing: -0.04em;
|
| 132 |
+
}
|
| 133 |
+
|
| 134 |
+
.gradient-text {
|
| 135 |
+
background: linear-gradient(135deg, var(--primary), var(--secondary), var(--accent));
|
| 136 |
+
-webkit-background-clip: text; -webkit-text-fill-color: transparent;
|
| 137 |
+
background-clip: text;
|
| 138 |
+
}
|
| 139 |
+
|
| 140 |
+
.hero-subtitle {
|
| 141 |
+
font-size: 18px; color: var(--text-dim); max-width: 600px; margin: 0 0 48px;
|
| 142 |
+
line-height: 1.6;
|
| 143 |
+
}
|
| 144 |
+
|
| 145 |
+
.hero-actions { display: flex; gap: 16px; justify-content: flex-start; margin-bottom: 0; }
|
| 146 |
+
|
| 147 |
+
/* Hero Visual (Bento Preview) */
|
| 148 |
+
.hero-visual {
|
| 149 |
+
position: relative;
|
| 150 |
+
}
|
| 151 |
+
|
| 152 |
+
.pipeline-card {
|
| 153 |
+
border-radius: 24px;
|
| 154 |
+
padding: 24px;
|
| 155 |
+
position: relative;
|
| 156 |
+
z-index: 10;
|
| 157 |
+
box-shadow: 0 40px 80px rgba(0, 0, 0, 0.5);
|
| 158 |
+
}
|
| 159 |
+
|
| 160 |
+
.pipeline-header {
|
| 161 |
+
display: flex; justify-content: space-between; align-items: center;
|
| 162 |
+
margin-bottom: 24px; padding-bottom: 16px;
|
| 163 |
+
border-bottom: 1px solid rgba(255, 255, 255, 0.05);
|
| 164 |
+
}
|
| 165 |
+
|
| 166 |
+
.window-controls { display: flex; gap: 6px; }
|
| 167 |
+
.dot { width: 10px; height: 10px; border-radius: 50%; opacity: 0.5; }
|
| 168 |
+
.dot-red { background: var(--red); }
|
| 169 |
+
.dot-amber { background: var(--yellow); }
|
| 170 |
+
.dot-green { background: var(--green); }
|
| 171 |
+
|
| 172 |
+
.pipeline-status { font-family: var(--mono); font-size: 12px; color: #666; }
|
| 173 |
+
|
| 174 |
+
.pipeline-tiers { display: flex; flex-direction: column; gap: 16px; }
|
| 175 |
+
|
| 176 |
+
.tier-card {
|
| 177 |
+
padding: 16px; border-radius: 16px;
|
| 178 |
+
background: rgba(255, 255, 255, 0.03);
|
| 179 |
+
border: 1px solid rgba(255, 255, 255, 0.05);
|
| 180 |
+
display: flex; justify-content: space-between; align-items: center;
|
| 181 |
+
transition: all 0.3s;
|
| 182 |
+
}
|
| 183 |
+
|
| 184 |
+
.tier-card.active {
|
| 185 |
+
background: rgba(192, 193, 255, 0.08);
|
| 186 |
+
border-color: rgba(192, 193, 255, 0.2);
|
| 187 |
+
}
|
| 188 |
+
|
| 189 |
+
.tier-info { display: flex; align-items: center; gap: 16px; }
|
| 190 |
+
.tier-icon {
|
| 191 |
+
width: 40px; height: 40px; border-radius: 10px;
|
| 192 |
+
background: rgba(192, 193, 255, 0.15);
|
| 193 |
+
display: flex; align-items: center; justify-content: center;
|
| 194 |
+
color: var(--primary);
|
| 195 |
+
}
|
| 196 |
+
|
| 197 |
+
.tier-name { font-size: 14px; font-weight: 600; color: #fff; }
|
| 198 |
+
.tier-meta { font-size: 12px; color: #666; }
|
| 199 |
+
.tier-indicator { font-size: 20px; }
|
| 200 |
+
|
| 201 |
+
|
| 202 |
+
/* Buttons */
|
| 203 |
+
.btn {
|
| 204 |
+
display: inline-flex; align-items: center; gap: 10px;
|
| 205 |
+
padding: 14px 32px; border-radius: 12px; font-size: 15px; font-weight: 700;
|
| 206 |
+
text-decoration: none; cursor: pointer; border: none;
|
| 207 |
+
transition: all 0.2s cubic-bezier(0.4, 0, 0.2, 1);
|
| 208 |
+
font-family: var(--font);
|
| 209 |
+
}
|
| 210 |
+
|
| 211 |
+
.btn-primary {
|
| 212 |
+
background: var(--primary);
|
| 213 |
+
color: var(--on-primary);
|
| 214 |
+
box-shadow: 0 8px 24px rgba(192, 193, 255, 0.2);
|
| 215 |
+
}
|
| 216 |
+
|
| 217 |
+
.btn-primary:hover {
|
| 218 |
+
transform: translateY(-2px);
|
| 219 |
+
box-shadow: 0 12px 32px rgba(192, 193, 255, 0.3);
|
| 220 |
+
filter: brightness(1.1);
|
| 221 |
+
}
|
| 222 |
+
|
| 223 |
+
.btn-ghost {
|
| 224 |
+
background: rgba(255, 255, 255, 0.03);
|
| 225 |
+
color: #fff;
|
| 226 |
+
border: 1px solid rgba(255, 255, 255, 0.1);
|
| 227 |
+
}
|
| 228 |
+
|
| 229 |
+
.btn-ghost:hover {
|
| 230 |
+
background: rgba(255, 255, 255, 0.08);
|
| 231 |
+
border-color: var(--primary);
|
| 232 |
+
}
|
| 233 |
+
|
| 234 |
+
/* Stats Section */
|
| 235 |
+
.hero-stats {
|
| 236 |
+
display: grid; grid-template-columns: repeat(4, 1fr); gap: 24px;
|
| 237 |
+
max-width: 1400px; margin: 0 auto;
|
| 238 |
+
padding: 0 40px 80px;
|
| 239 |
+
}
|
| 240 |
+
|
| 241 |
+
.stat-card {
|
| 242 |
+
padding: 32px;
|
| 243 |
+
border-radius: 20px;
|
| 244 |
+
transition: all 0.3s;
|
| 245 |
+
}
|
| 246 |
+
|
| 247 |
+
.stat-card:hover {
|
| 248 |
+
border-color: rgba(192, 193, 255, 0.2);
|
| 249 |
+
transform: translateY(-4px);
|
| 250 |
+
background: rgba(192, 193, 255, 0.03);
|
| 251 |
+
}
|
| 252 |
+
|
| 253 |
+
.stat-label {
|
| 254 |
+
font-size: 12px; font-weight: 600; color: #666;
|
| 255 |
+
text-transform: uppercase; letter-spacing: 1px;
|
| 256 |
+
margin-bottom: 8px;
|
| 257 |
+
}
|
| 258 |
+
|
| 259 |
+
.stat-value {
|
| 260 |
+
font-size: 40px; font-weight: 800; color: #fff;
|
| 261 |
+
line-height: 1; margin-bottom: 12px;
|
| 262 |
+
}
|
| 263 |
+
|
| 264 |
+
.stat-delta {
|
| 265 |
+
font-size: 13px; font-weight: 600;
|
| 266 |
+
display: flex; align-items: center; gap: 4px;
|
| 267 |
+
}
|
| 268 |
+
|
| 269 |
+
.btn-full { width: 100%; justify-content: center; padding: 14px; font-size: 16px; margin-top: 16px; }
|
| 270 |
+
.btn-icon { font-size: 20px; }
|
| 271 |
+
|
| 272 |
+
|
| 273 |
+
/* Sections */
|
| 274 |
+
.section {
|
| 275 |
+
position: relative; z-index: 1;
|
| 276 |
+
padding: 100px 40px;
|
| 277 |
+
max-width: 1400px; margin: 0 auto;
|
| 278 |
+
}
|
| 279 |
+
.section-dark { max-width: none; background: #0a0a0f; }
|
| 280 |
+
.section-dark > * { max-width: 1400px; margin-left: auto; margin-right: auto; }
|
| 281 |
+
.section-header { text-align: center; margin-bottom: 60px; }
|
| 282 |
+
.section-badge {
|
| 283 |
+
display: inline-block; font-size: 12px; font-weight: 700; text-transform: uppercase;
|
| 284 |
+
letter-spacing: 2px; color: var(--primary); background: rgba(192, 193, 255, 0.1);
|
| 285 |
+
padding: 6px 18px; border-radius: 20px; margin-bottom: 16px;
|
| 286 |
+
}
|
| 287 |
+
.section-title { font-size: 40px; font-weight: 800; margin-bottom: 16px; color: #fff; }
|
| 288 |
+
.section-desc { font-size: 17px; color: var(--text-dim); max-width: 700px; margin: 0 auto; }
|
| 289 |
+
|
| 290 |
+
/* Demo */
|
| 291 |
+
.demo-container {
|
| 292 |
+
display: grid; grid-template-columns: 1fr 1fr; gap: 24px;
|
| 293 |
+
}
|
| 294 |
+
.demo-input-panel, .demo-results-panel {
|
| 295 |
+
background: var(--surface); border: 1px solid var(--border);
|
| 296 |
+
border-radius: var(--radius2); padding: 28px;
|
| 297 |
+
}
|
| 298 |
+
.input-label { font-size: 14px; font-weight: 600; color: var(--text2); margin-bottom: 10px; display: block; }
|
| 299 |
+
.ticket-textarea {
|
| 300 |
+
width: 100%; background: var(--bg); border: 1px solid var(--border);
|
| 301 |
+
border-radius: var(--radius); padding: 14px; color: var(--text);
|
| 302 |
+
font-family: var(--font); font-size: 14px; resize: vertical;
|
| 303 |
+
transition: border-color 0.2s; line-height: 1.6;
|
| 304 |
+
}
|
| 305 |
+
.ticket-textarea:focus { outline: none; border-color: var(--primary); }
|
| 306 |
+
.demo-presets { display: flex; flex-wrap: wrap; gap: 8px; margin-top: 14px; align-items: center; }
|
| 307 |
+
.preset-label { font-size: 13px; color: var(--text3); font-weight: 500; }
|
| 308 |
+
.preset-btn {
|
| 309 |
+
font-size: 12px; padding: 4px 12px; border-radius: 6px;
|
| 310 |
+
background: var(--surface2); border: 1px solid var(--border);
|
| 311 |
+
color: var(--text2); cursor: pointer; font-family: var(--font);
|
| 312 |
+
transition: all 0.2s;
|
| 313 |
+
}
|
| 314 |
+
.preset-btn:hover { border-color: var(--primary); color: var(--primary2); }
|
| 315 |
+
|
| 316 |
+
/* Result placeholder */
|
| 317 |
+
.result-placeholder {
|
| 318 |
+
display: flex; flex-direction: column; align-items: center; justify-content: center;
|
| 319 |
+
height: 100%; min-height: 300px; color: var(--text3); text-align: center;
|
| 320 |
+
}
|
| 321 |
+
.placeholder-icon { font-size: 48px; margin-bottom: 16px; opacity: 0.5; }
|
| 322 |
+
|
| 323 |
+
/* Action badge */
|
| 324 |
+
.action-badge-container { text-align: center; margin-bottom: 20px; }
|
| 325 |
+
.action-badge {
|
| 326 |
+
display: inline-block; padding: 8px 24px; border-radius: 8px;
|
| 327 |
+
font-size: 18px; font-weight: 800; font-family: var(--mono);
|
| 328 |
+
letter-spacing: 2px;
|
| 329 |
+
animation: badgePop 0.4s ease;
|
| 330 |
+
}
|
| 331 |
+
@keyframes badgePop { 0% { transform: scale(0.8); opacity: 0; } 100% { transform: scale(1); opacity: 1; } }
|
| 332 |
+
.action-badge.route { background: rgba(74, 222, 128, 0.1); color: var(--green); border: 1px solid rgba(74, 222, 128, 0.2); }
|
| 333 |
+
.action-badge.clarify { background: rgba(250, 204, 21, 0.1); color: var(--yellow); border: 1px solid rgba(250, 204, 21, 0.2); }
|
| 334 |
+
.action-badge.escalate { background: rgba(248, 113, 113, 0.1); color: var(--red); border: 1px solid rgba(248, 113, 113, 0.2); }
|
| 335 |
+
.action-queue { font-size: 13px; color: var(--text2); margin-top: 8px; }
|
| 336 |
+
|
| 337 |
+
/* Gauges */
|
| 338 |
+
.gauge-row { display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 16px; margin-bottom: 20px; }
|
| 339 |
+
.gauge-container { position: relative; }
|
| 340 |
+
.gauge-label { font-size: 12px; font-weight: 600; color: var(--text2); margin-bottom: 6px; display: block; }
|
| 341 |
+
.gauge-track {
|
| 342 |
+
height: 10px; background: var(--bg); border-radius: 5px;
|
| 343 |
+
overflow: hidden; position: relative;
|
| 344 |
+
}
|
| 345 |
+
.gauge-fill {
|
| 346 |
+
height: 100%; border-radius: 5px; transition: width 0.8s cubic-bezier(0.4, 0, 0.2, 1);
|
| 347 |
+
background: linear-gradient(90deg, var(--green), var(--primary));
|
| 348 |
+
position: relative; z-index: 2;
|
| 349 |
+
}
|
| 350 |
+
.entropy-fill { background: linear-gradient(90deg, var(--cyan), var(--yellow), var(--red)); }
|
| 351 |
+
.gauge-zones { position: absolute; inset: 0; display: flex; opacity: 0.15; }
|
| 352 |
+
.zone { height: 100%; }
|
| 353 |
+
.zone-red { background: var(--red); }
|
| 354 |
+
.zone-yellow { background: var(--yellow); }
|
| 355 |
+
.zone-green { background: var(--green); }
|
| 356 |
+
.gauge-value { font-size: 20px; font-weight: 700; font-family: var(--mono); margin-top: 6px; }
|
| 357 |
+
|
| 358 |
+
/* Probability chart */
|
| 359 |
+
.prob-chart { margin-bottom: 20px; }
|
| 360 |
+
.prob-row {
|
| 361 |
+
display: flex; align-items: center; gap: 10px; margin-bottom: 6px;
|
| 362 |
+
font-size: 12px;
|
| 363 |
+
}
|
| 364 |
+
.prob-label { width: 130px; color: var(--text2); text-align: right; font-family: var(--mono); white-space: nowrap; overflow: hidden; text-overflow: ellipsis; }
|
| 365 |
+
.prob-bar-track { flex: 1; height: 6px; background: var(--bg); border-radius: 3px; overflow: hidden; }
|
| 366 |
+
.prob-bar-fill { height: 100%; border-radius: 3px; transition: width 0.6s ease; background: var(--primary); }
|
| 367 |
+
.prob-val { width: 50px; font-family: var(--mono); color: var(--text3); font-size: 11px; }
|
| 368 |
+
|
| 369 |
+
/* Clarification */
|
| 370 |
+
.clarification-box {
|
| 371 |
+
background: rgba(234,179,8,0.06); border: 1px solid rgba(234,179,8,0.2);
|
| 372 |
+
border-radius: var(--radius); padding: 20px; margin-bottom: 20px;
|
| 373 |
+
}
|
| 374 |
+
.clarify-header { font-weight: 700; font-size: 14px; margin-bottom: 10px; color: var(--yellow); }
|
| 375 |
+
.clarify-question { font-size: 15px; line-height: 1.6; margin-bottom: 12px; }
|
| 376 |
+
.clarify-options { display: flex; gap: 8px; flex-wrap: wrap; margin-bottom: 8px; }
|
| 377 |
+
.clarify-options .option-btn {
|
| 378 |
+
padding: 6px 16px; border-radius: 6px; font-size: 13px;
|
| 379 |
+
background: var(--surface2); border: 1px solid var(--border);
|
| 380 |
+
color: var(--text); cursor: pointer; font-family: var(--font);
|
| 381 |
+
}
|
| 382 |
+
.clarify-gain { font-size: 12px; color: var(--text3); }
|
| 383 |
+
|
| 384 |
+
/* Signals */
|
| 385 |
+
.signals-grid { display: grid; grid-template-columns: repeat(4, 1fr); gap: 12px; margin-bottom: 16px; }
|
| 386 |
+
.signal-card {
|
| 387 |
+
background: var(--bg); border-radius: 8px; padding: 14px; text-align: center;
|
| 388 |
+
}
|
| 389 |
+
.signal-label { font-size: 11px; color: var(--text3); font-weight: 600; text-transform: uppercase; letter-spacing: 1px; }
|
| 390 |
+
.signal-value { font-size: 18px; font-weight: 700; font-family: var(--mono); margin-top: 4px; }
|
| 391 |
+
.signal-bar { height: 4px; background: var(--surface); border-radius: 2px; margin-top: 8px; overflow: hidden; }
|
| 392 |
+
.signal-fill { height: 100%; border-radius: 2px; background: var(--orange); transition: width 0.6s; }
|
| 393 |
+
.result-reason {
|
| 394 |
+
font-size: 13px; color: var(--text3); text-align: center;
|
| 395 |
+
padding: 12px; background: var(--bg); border-radius: 8px;
|
| 396 |
+
font-style: italic;
|
| 397 |
+
}
|
| 398 |
+
|
| 399 |
+
/* Architecture */
|
| 400 |
+
.arch-pipeline {
|
| 401 |
+
display: flex; align-items: stretch; gap: 0; margin-bottom: 80px;
|
| 402 |
+
justify-content: center;
|
| 403 |
+
}
|
| 404 |
+
.arch-stage {
|
| 405 |
+
padding: 32px; flex: 1; max-width: 340px;
|
| 406 |
+
text-align: center; transition: all 0.3s;
|
| 407 |
+
border-radius: 24px;
|
| 408 |
+
}
|
| 409 |
+
.arch-stage:hover { border-color: var(--primary); transform: translateY(-6px); }
|
| 410 |
+
.stage-highlight { border-color: var(--primary); background: rgba(192, 193, 255, 0.05); }
|
| 411 |
+
.stage-number {
|
| 412 |
+
width: 40px; height: 40px; border-radius: 50%;
|
| 413 |
+
background: var(--primary);
|
| 414 |
+
color: var(--on-primary); font-weight: 800; font-size: 18px;
|
| 415 |
+
display: inline-flex; align-items: center; justify-content: center;
|
| 416 |
+
margin-bottom: 16px;
|
| 417 |
+
}
|
| 418 |
+
.stage-title { font-size: 18px; font-weight: 700; margin-bottom: 12px; color: #fff; }
|
| 419 |
+
.stage-details { display: flex; gap: 8px; justify-content: center; flex-wrap: wrap; margin-bottom: 12px; }
|
| 420 |
+
.tech-tag {
|
| 421 |
+
font-size: 11px; padding: 4px 12px; border-radius: 6px;
|
| 422 |
+
background: rgba(192, 193, 255, 0.1); color: var(--primary); font-weight: 700;
|
| 423 |
+
}
|
| 424 |
+
.stage-desc { font-size: 14px; color: var(--text-dim); line-height: 1.6; }
|
| 425 |
+
.arch-arrow {
|
| 426 |
+
display: flex; align-items: center; font-size: 28px; color: #333;
|
| 427 |
+
padding: 0 16px;
|
| 428 |
+
}
|
| 429 |
+
|
| 430 |
+
/* MC Dropout Viz */
|
| 431 |
+
.mc-dropout-viz {
|
| 432 |
+
text-align: center; margin-bottom: 60px;
|
| 433 |
+
background: var(--surface); border: 1px solid var(--border);
|
| 434 |
+
border-radius: var(--radius2); padding: 36px;
|
| 435 |
+
}
|
| 436 |
+
.viz-title { font-size: 20px; font-weight: 700; margin-bottom: 8px; }
|
| 437 |
+
.viz-desc { font-size: 14px; color: var(--text2); margin-bottom: 24px; max-width: 600px; margin-left: auto; margin-right: auto; }
|
| 438 |
+
.dropout-grid { display: flex; gap: 4px; justify-content: center; flex-wrap: wrap; margin-bottom: 16px; }
|
| 439 |
+
.dropout-col { display: flex; flex-direction: column; gap: 3px; }
|
| 440 |
+
.dropout-cell {
|
| 441 |
+
width: 10px; height: 10px; border-radius: 2px; transition: all 0.3s;
|
| 442 |
+
}
|
| 443 |
+
.dropout-legend { display: flex; gap: 20px; justify-content: center; font-size: 12px; color: var(--text3); }
|
| 444 |
+
.legend-dot { display: inline-block; width: 10px; height: 10px; border-radius: 2px; vertical-align: middle; margin-right: 4px; }
|
| 445 |
+
|
| 446 |
+
/* Competitor Table */
|
| 447 |
+
.competitor-table-wrap { overflow-x: auto; }
|
| 448 |
+
.competitor-table {
|
| 449 |
+
width: 100%; border-collapse: collapse; font-size: 14px;
|
| 450 |
+
}
|
| 451 |
+
.competitor-table th {
|
| 452 |
+
text-align: left; padding: 14px 16px; color: var(--text2);
|
| 453 |
+
font-weight: 600; font-size: 12px; text-transform: uppercase;
|
| 454 |
+
letter-spacing: 1px; border-bottom: 1px solid var(--border);
|
| 455 |
+
}
|
| 456 |
+
.competitor-table td { padding: 14px 16px; border-bottom: 1px solid var(--border); }
|
| 457 |
+
.cell-no { color: var(--red); }
|
| 458 |
+
.cell-yes { color: var(--green); font-weight: 600; }
|
| 459 |
+
.cell-partial { color: var(--yellow); }
|
| 460 |
+
.row-highlight { background: rgba(99,102,241,0.06); }
|
| 461 |
+
|
| 462 |
+
/* Benchmarks */
|
| 463 |
+
.benchmark-grid { display: grid; grid-template-columns: repeat(2, 1fr); gap: 20px; margin-bottom: 48px; }
|
| 464 |
+
.bench-card {
|
| 465 |
+
background: var(--surface); border: 1px solid var(--border);
|
| 466 |
+
border-radius: var(--radius2); padding: 24px;
|
| 467 |
+
}
|
| 468 |
+
.bench-metric { font-size: 15px; font-weight: 700; margin-bottom: 16px; }
|
| 469 |
+
.bench-bar-group { margin-bottom: 8px; }
|
| 470 |
+
.bench-label { font-size: 12px; color: var(--text3); margin-bottom: 4px; font-weight: 500; }
|
| 471 |
+
.bench-bar { height: 28px; background: var(--bg); border-radius: 6px; overflow: hidden; }
|
| 472 |
+
.bench-fill {
|
| 473 |
+
height: 100%; border-radius: 6px; display: flex; align-items: center;
|
| 474 |
+
padding-left: 12px; font-size: 13px; font-weight: 700; font-family: var(--mono);
|
| 475 |
+
transition: width 1s ease;
|
| 476 |
+
}
|
| 477 |
+
.bench-fill.baseline { background: rgba(148,163,184,0.2); color: var(--text2); }
|
| 478 |
+
.bench-fill.ours { background: linear-gradient(90deg, var(--primary), var(--accent)); color: white; }
|
| 479 |
+
.bench-fill.bad { background: rgba(239,68,68,0.2); color: var(--red); }
|
| 480 |
+
.bench-delta { font-size: 14px; font-weight: 700; color: var(--green); margin-top: 8px; text-align: right; }
|
| 481 |
+
|
| 482 |
+
/* Ops Grid */
|
| 483 |
+
.ops-grid { display: grid; grid-template-columns: repeat(4, 1fr); gap: 16px; }
|
| 484 |
+
.ops-card {
|
| 485 |
+
background: var(--surface); border: 1px solid var(--border);
|
| 486 |
+
border-radius: var(--radius); padding: 24px; text-align: center;
|
| 487 |
+
}
|
| 488 |
+
.ops-icon { font-size: 28px; margin-bottom: 10px; }
|
| 489 |
+
.ops-metric { font-size: 13px; color: var(--text2); font-weight: 600; margin-bottom: 12px; }
|
| 490 |
+
.ops-before { font-size: 18px; font-weight: 700; color: var(--text3); font-family: var(--mono); }
|
| 491 |
+
.ops-arrow { color: var(--text3); margin: 6px 0; }
|
| 492 |
+
.ops-after { font-size: 22px; font-weight: 800; color: white; font-family: var(--mono); }
|
| 493 |
+
.ops-delta { font-size: 13px; font-weight: 700; color: var(--green); margin-top: 8px; }
|
| 494 |
+
.ops-delta.positive { color: var(--green); }
|
| 495 |
+
|
| 496 |
+
/* API */
|
| 497 |
+
.api-grid { display: grid; grid-template-columns: repeat(3, 1fr); gap: 16px; }
|
| 498 |
+
.api-card {
|
| 499 |
+
background: var(--surface); border: 1px solid var(--border);
|
| 500 |
+
border-radius: var(--radius); padding: 20px;
|
| 501 |
+
}
|
| 502 |
+
.api-method {
|
| 503 |
+
display: inline-block; font-size: 11px; font-weight: 800; padding: 3px 10px;
|
| 504 |
+
border-radius: 4px; font-family: var(--mono); margin-bottom: 8px;
|
| 505 |
+
}
|
| 506 |
+
.api-method.post { background: rgba(99,102,241,0.15); color: var(--primary2); }
|
| 507 |
+
.api-method.get { background: rgba(34,197,94,0.15); color: var(--green); }
|
| 508 |
+
.api-path { font-family: var(--mono); font-size: 16px; font-weight: 600; display: block; margin-bottom: 8px; }
|
| 509 |
+
.api-desc { font-size: 13px; color: var(--text3); }
|
| 510 |
+
|
| 511 |
+
/* Footer */
|
| 512 |
+
.footer {
|
| 513 |
+
position: relative; z-index: 1;
|
| 514 |
+
border-top: 1px solid var(--border); padding: 80px 40px;
|
| 515 |
+
background: #050508;
|
| 516 |
+
}
|
| 517 |
+
.footer-brand { font-size: 24px; font-weight: 800; color: #fff; margin-bottom: 8px; letter-spacing: -1px; }
|
| 518 |
+
.footer-author { font-size: 14px; color: #666; margin-bottom: 8px; }
|
| 519 |
+
.footer-tech { font-size: 14px; color: #666; font-weight: 500; cursor: pointer; }
|
| 520 |
+
.footer-tech span:hover { color: var(--primary); }
|
| 521 |
+
|
| 522 |
+
/* Responsive */
|
| 523 |
+
@media (max-width: 900px) {
|
| 524 |
+
.hero-stats { grid-template-columns: repeat(2, 1fr); }
|
| 525 |
+
.demo-container { grid-template-columns: 1fr; }
|
| 526 |
+
.arch-pipeline { flex-direction: column; align-items: center; }
|
| 527 |
+
.arch-arrow { transform: rotate(90deg); padding: 8px; }
|
| 528 |
+
.benchmark-grid, .ops-grid, .api-grid { grid-template-columns: 1fr; }
|
| 529 |
+
.signals-grid { grid-template-columns: repeat(2, 1fr); }
|
| 530 |
+
.gauge-row { grid-template-columns: 1fr; }
|
| 531 |
+
.navbar { padding: 12px 16px; }
|
| 532 |
+
.nav-links { display: none; }
|
| 533 |
+
}
|
| 534 |
+
|
| 535 |
+
/* Animations */
|
| 536 |
+
.fade-in { opacity: 0; transform: translateY(20px); transition: all 0.6s ease; }
|
| 537 |
+
.fade-in.visible { opacity: 1; transform: translateY(0); }
|
| 538 |
+
|
| 539 |
+
/* Loading spinner */
|
| 540 |
+
.spinner {
|
| 541 |
+
display: inline-block; width: 20px; height: 20px;
|
| 542 |
+
border: 2px solid rgba(255,255,255,0.2); border-top-color: white;
|
| 543 |
+
border-radius: 50%; animation: spin 0.6s linear infinite;
|
| 544 |
+
}
|
| 545 |
+
/* SHAP Interpretability */
|
| 546 |
+
.explanation-box {
|
| 547 |
+
background: rgba(192, 193, 255, 0.03);
|
| 548 |
+
border: 1px solid var(--border);
|
| 549 |
+
border-radius: var(--radius);
|
| 550 |
+
padding: 20px;
|
| 551 |
+
margin-bottom: 20px;
|
| 552 |
+
animation: fadeIn 0.4s ease;
|
| 553 |
+
}
|
| 554 |
+
.explain-header {
|
| 555 |
+
font-weight: 700;
|
| 556 |
+
font-size: 14px;
|
| 557 |
+
margin-bottom: 12px;
|
| 558 |
+
color: var(--primary);
|
| 559 |
+
display: flex;
|
| 560 |
+
align-items: center;
|
| 561 |
+
gap: 8px;
|
| 562 |
+
}
|
| 563 |
+
.explain-text {
|
| 564 |
+
font-family: var(--font);
|
| 565 |
+
font-size: 15px;
|
| 566 |
+
line-height: 2.2;
|
| 567 |
+
color: var(--text);
|
| 568 |
+
margin-bottom: 16px;
|
| 569 |
+
}
|
| 570 |
+
.shap-token {
|
| 571 |
+
padding: 2px 4px;
|
| 572 |
+
margin: 0 1px;
|
| 573 |
+
border-radius: 4px;
|
| 574 |
+
display: inline-block;
|
| 575 |
+
transition: all 0.3s;
|
| 576 |
+
}
|
| 577 |
+
.explain-legend {
|
| 578 |
+
display: flex;
|
| 579 |
+
gap: 16px;
|
| 580 |
+
font-size: 11px;
|
| 581 |
+
color: var(--text3);
|
| 582 |
+
}
|
| 583 |
+
.legend-item { display: flex; align-items: center; gap: 6px; }
|
| 584 |
+
.highlight-box {
|
| 585 |
+
width: 12px;
|
| 586 |
+
height: 12px;
|
| 587 |
+
border-radius: 2px;
|
| 588 |
+
}
|
| 589 |
+
.highlight-box.pos { background: rgba(74, 222, 128, 0.4); border: 1px solid var(--green); }
|
| 590 |
+
.highlight-box.neg { background: rgba(248, 113, 113, 0.4); border: 1px solid var(--red); }
|
| 591 |
+
|
| 592 |
+
@keyframes fadeIn {
|
| 593 |
+
from { opacity: 0; transform: translateY(10px); }
|
| 594 |
+
to { opacity: 1; transform: translateY(0); }
|
| 595 |
+
}
|
| 596 |
+
|
| 597 |
+
@keyframes spin { to { transform: rotate(360deg); } }
|
| 598 |
+
|