| """HTML rendering for the Co-Pilot demo. |
| |
| Each function takes typed data (a CastMember, a CopilotResult, etc.) |
| and returns a self-contained HTML snippet. Gradio injects the snippets |
| into `gr.HTML` components. |
| |
| Visual discipline: |
| - Single typeface (Inter for body, JetBrains Mono for numbers). |
| - Three colors only: page background near-white, near-black ink, |
| one accent color per class (green/yellow/red). No gradient palettes, |
| no shadows, no neon. Liquid demo aesthetic. |
| - Inline styles only (no external CSS file). The renderer is one |
| self-contained module so a future maintainer can edit visuals |
| without touching the inference path. |
| |
| The renderer NEVER reaches into model internals. It consumes the |
| serializable result objects produced by `copilot_inference.py`. |
| """ |
|
|
| from __future__ import annotations |
|
|
| import html |
| from typing import Iterable |
|
|
| from encoder.src.demo.copilot_inference import ( |
| LABEL_COLORS, |
| LABEL_NAMES, |
| CastMember, |
| CopilotResult, |
| ) |
|
|
|
|
| |
|
|
| _PAGE_BG = "#fafafa" |
| _INK = "#171717" |
| _INK_DIM = "#525252" |
| _BORDER = "rgba(0,0,0,0.08)" |
| _CARD_BG = "#ffffff" |
|
|
| _TONE_COLORS: dict[str, str] = { |
| "angry": "#ef4444", |
| "confused": "#a855f7", |
| "casual": "#3b82f6", |
| "formal": "#0ea5e9", |
| "terse": "#737373", |
| } |
|
|
|
|
| |
|
|
| def render_cast_strip(cast: list[CastMember], selected_idx: int) -> str: |
| """Six clickable archetype cards across the top. |
| |
| The card buttons are styled as anchors but the *click* is wired |
| by Gradio via separate `gr.Button` components — this function |
| only renders the visual chrome that mirrors the selected state. |
| Selection is driven by the `selected_idx` argument. |
| """ |
| cards: list[str] = [] |
| for i, m in enumerate(cast): |
| is_sel = i == selected_idx |
| accent = LABEL_COLORS[m.expected_label] |
| border = accent if is_sel else _BORDER |
| bg = "#ffffff" if not is_sel else _hex_with_alpha(accent, 0.06) |
| cards.append(f""" |
| <div style=" |
| flex: 1 1 0; |
| min-width: 0; |
| padding: 12px 14px; |
| background: {bg}; |
| border: 1.5px solid {border}; |
| border-radius: 10px; |
| transition: all 0.15s ease; |
| "> |
| <div style=" |
| font-size: 13px; |
| font-weight: 600; |
| color: {_INK}; |
| margin-bottom: 4px; |
| overflow: hidden; |
| text-overflow: ellipsis; |
| white-space: nowrap; |
| ">{html.escape(m.display_name)}</div> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.04em; |
| "> |
| <span style="color: {accent};">●</span> |
| expected: {html.escape(_short_label(m.expected_label_name))} |
| </div> |
| </div> |
| """) |
| return f""" |
| <div style=" |
| display: flex; |
| gap: 10px; |
| margin-bottom: 18px; |
| "> |
| {''.join(cards)} |
| </div> |
| """ |
|
|
|
|
| |
|
|
| def render_complaint(member: CastMember) -> str: |
| """Large pull-quote of what the customer wrote.""" |
| tone_color = _TONE_COLORS.get(member.tone, _INK_DIM) |
| return f""" |
| <div style=" |
| background: {_CARD_BG}; |
| border: 1px solid {_BORDER}; |
| border-left: 4px solid {tone_color}; |
| border-radius: 12px; |
| padding: 22px 26px; |
| margin-bottom: 18px; |
| "> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.05em; |
| margin-bottom: 10px; |
| "> |
| Complaint received · tone: |
| <span style="color: {tone_color}; font-weight: 600;">{html.escape(member.tone)}</span> |
| </div> |
| <div style=" |
| font-size: 18px; |
| color: {_INK}; |
| line-height: 1.5; |
| font-style: italic; |
| font-weight: 400; |
| "> |
| “{html.escape(member.complaint_text)}” |
| </div> |
| </div> |
| """ |
|
|
|
|
| |
|
|
| def render_timeline( |
| disputed_idx: int, |
| top_k_positions: Iterable[int] | None = None, |
| attribution_probs: Iterable[float] | None = None, |
| num_positions: int = 64, |
| ) -> str: |
| """64 dots; the disputed one is a red star, top-k are accent glows. |
| |
| If `top_k_positions` is None (pre-inference), all dots are neutral |
| except the disputed star. If `attribution_probs` is provided, dot |
| opacity scales with per-position attribution probability so the |
| cluster around the highlighted positions reads as a glow gradient. |
| """ |
| |
| top_k_set: set[int] = set() |
| if top_k_positions is not None: |
| top_k_set = {int(i) for i in top_k_positions} |
| probs = list(attribution_probs) if attribution_probs is not None else None |
|
|
| dots: list[str] = [] |
| for i in range(num_positions): |
| if i == disputed_idx: |
| dots.append(_dot_disputed(i)) |
| elif i in top_k_set: |
| alpha = float(probs[i]) if probs is not None else 1.0 |
| dots.append(_dot_attributed(i, alpha)) |
| else: |
| faint = float(probs[i]) * 0.4 if probs is not None else 0.0 |
| dots.append(_dot_neutral(i, faint)) |
|
|
| return f""" |
| <div style=" |
| background: {_CARD_BG}; |
| border: 1px solid {_BORDER}; |
| border-radius: 12px; |
| padding: 20px 22px; |
| margin-bottom: 18px; |
| "> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.05em; |
| margin-bottom: 14px; |
| display: flex; |
| justify-content: space-between; |
| "> |
| <span>64-transaction history · oldest → newest</span> |
| <span> |
| <span style="color: #ef4444;">★</span> disputed |
| <span style="color: #f59e0b;">●</span> contributed |
| </span> |
| </div> |
| <div style=" |
| display: flex; |
| justify-content: space-between; |
| align-items: center; |
| gap: 2px; |
| "> |
| {''.join(dots)} |
| </div> |
| </div> |
| """ |
|
|
|
|
| def _dot_disputed(i: int) -> str: |
| return f""" |
| <div title="position {i} · disputed" style=" |
| width: 14px; height: 14px; |
| color: #ef4444; |
| font-size: 18px; |
| line-height: 14px; |
| text-align: center; |
| font-weight: 700; |
| ">★</div> |
| """ |
|
|
|
|
| def _dot_attributed(i: int, alpha: float) -> str: |
| glow = max(0.4, min(1.0, alpha)) |
| return f""" |
| <div title="position {i} · contributed ({alpha:.2f})" style=" |
| width: 12px; height: 12px; |
| border-radius: 50%; |
| background: rgba(245, 158, 11, {glow}); |
| box-shadow: 0 0 8px rgba(245, 158, 11, {glow * 0.7}); |
| "></div> |
| """ |
|
|
|
|
| def _dot_neutral(i: int, faint: float = 0.0) -> str: |
| bg = f"rgba(245, 158, 11, {faint:.2f})" if faint > 0.0 else "rgba(0,0,0,0.18)" |
| return f""" |
| <div title="position {i}" style=" |
| width: 8px; height: 8px; |
| border-radius: 50%; |
| background: {bg}; |
| "></div> |
| """ |
|
|
|
|
| |
|
|
| def render_score(result: CopilotResult | None) -> str: |
| """Big number, color band, class label. |
| |
| When `result` is None (idle / pre-click), shows a placeholder |
| that occupies the same vertical space so the layout doesn't jump |
| when the score arrives. |
| """ |
| if result is None: |
| return _score_placeholder() |
|
|
| pct = int(round(result.score * 100)) |
| color = result.color |
| label = result.predicted_label |
|
|
| return f""" |
| <div style=" |
| background: {_CARD_BG}; |
| border: 1px solid {_BORDER}; |
| border-radius: 12px; |
| padding: 22px 26px; |
| height: 100%; |
| box-sizing: border-box; |
| "> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.05em; |
| margin-bottom: 16px; |
| "> |
| Model verdict |
| </div> |
| <div style=" |
| font-size: 64px; |
| font-weight: 700; |
| color: {color}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| line-height: 1; |
| letter-spacing: -0.04em; |
| margin-bottom: 12px; |
| "> |
| 0.{pct:02d} |
| </div> |
| <div style=" |
| display: inline-block; |
| padding: 5px 12px; |
| background: {_hex_with_alpha(color, 0.12)}; |
| color: {color}; |
| font-size: 13px; |
| font-weight: 600; |
| border-radius: 999px; |
| text-transform: uppercase; |
| letter-spacing: 0.04em; |
| "> |
| {html.escape(label)} |
| </div> |
| </div> |
| """ |
|
|
|
|
| def _score_placeholder() -> str: |
| return f""" |
| <div style=" |
| background: {_CARD_BG}; |
| border: 1px solid {_BORDER}; |
| border-radius: 12px; |
| padding: 22px 26px; |
| height: 100%; |
| box-sizing: border-box; |
| color: {_INK_DIM}; |
| "> |
| <div style=" |
| font-size: 11px; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.05em; |
| margin-bottom: 16px; |
| "> |
| Model verdict |
| </div> |
| <div style=" |
| font-size: 64px; |
| font-weight: 300; |
| color: rgba(0,0,0,0.15); |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| line-height: 1; |
| letter-spacing: -0.04em; |
| margin-bottom: 12px; |
| "> |
| 0.— |
| </div> |
| <div style=" |
| font-size: 13px; |
| color: {_INK_DIM}; |
| "> |
| Awaiting analysis · click <b>Analyze</b> |
| </div> |
| </div> |
| """ |
|
|
|
|
| |
|
|
| def render_reasoning(text: str | None) -> str: |
| """Model's LM-decoded reasoning, with a blinking caret while streaming.""" |
| if text is None: |
| body = f""" |
| <div style=" |
| font-size: 14px; |
| color: {_INK_DIM}; |
| font-style: italic; |
| "> |
| Reasoning will appear here once the model has read the customer's history. |
| </div> |
| """ |
| else: |
| body = f""" |
| <div style=" |
| font-size: 14px; |
| color: {_INK}; |
| line-height: 1.6; |
| white-space: pre-wrap; |
| ">{html.escape(text)}<span style=" |
| display: inline-block; |
| width: 7px; |
| height: 14px; |
| background: {_INK}; |
| margin-left: 2px; |
| vertical-align: text-bottom; |
| animation: copilot-blink 1s infinite; |
| "></span></div> |
| <style> |
| @keyframes copilot-blink {{ |
| 0%, 49% {{ opacity: 1; }} |
| 50%, 100% {{ opacity: 0; }} |
| }} |
| </style> |
| """ |
|
|
| return f""" |
| <div style=" |
| background: {_CARD_BG}; |
| border: 1px solid {_BORDER}; |
| border-radius: 12px; |
| padding: 22px 26px; |
| height: 100%; |
| box-sizing: border-box; |
| "> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.05em; |
| margin-bottom: 16px; |
| "> |
| Reasoning |
| </div> |
| {body} |
| </div> |
| """ |
|
|
|
|
| |
|
|
| def render_header() -> str: |
| return f""" |
| <div style="text-align: center; margin-bottom: 22px;"> |
| <div style=" |
| font-size: 11px; |
| color: {_INK_DIM}; |
| font-family: 'JetBrains Mono', ui-monospace, monospace; |
| text-transform: uppercase; |
| letter-spacing: 0.08em; |
| margin-bottom: 6px; |
| "> |
| Liquid AI · LFM2.5-350M backbone · encoder + LoRA |
| </div> |
| <h1 style=" |
| margin: 0; |
| font-size: 28px; |
| font-weight: 700; |
| color: {_INK}; |
| letter-spacing: -0.02em; |
| "> |
| Dispute Co-Pilot |
| </h1> |
| </div> |
| """ |
|
|
|
|
| |
|
|
| def _short_label(name: str) -> str: |
| return { |
| "unlikely_friendly_fraud": "likely legit", |
| "ambiguous": "ambiguous", |
| "likely_friendly_fraud": "likely fraud", |
| }.get(name, name) |
|
|
|
|
| def _hex_with_alpha(hex_color: str, alpha: float) -> str: |
| """Convert #RRGGBB + alpha float into an rgba() string.""" |
| h = hex_color.lstrip("#") |
| if len(h) != 6: |
| return hex_color |
| r, g, b = int(h[0:2], 16), int(h[2:4], 16), int(h[4:6], 16) |
| return f"rgba({r}, {g}, {b}, {alpha:.3f})" |
|
|