Spaces:
Sleeping
Sleeping
| """ | |
| Preview Generator for Typography and Color Previews | |
| Generates HTML previews for: | |
| 1. Typography - Actual font rendering with detected styles | |
| 2. Colors AS-IS - Simple swatches showing extracted colors (Stage 1) | |
| 3. Color Ramps - 11 shades (50-950) with AA compliance (Stage 2) | |
| 4. Spacing AS-IS - Visual spacing blocks | |
| 5. Radius AS-IS - Rounded corner examples | |
| 6. Shadows AS-IS - Shadow examples | |
| """ | |
| from typing import Optional | |
| import colorsys | |
| import re | |
| # ============================================================================= | |
| # STAGE 1: AS-IS PREVIEWS (No enhancements, just raw extracted values) | |
| # ============================================================================= | |
| def generate_colors_asis_preview_html( | |
| color_tokens: dict, | |
| background: str = "#FAFAFA", | |
| max_colors: int = 50 | |
| ) -> str: | |
| """ | |
| Generate HTML preview for AS-IS colors (Stage 1). | |
| Shows simple color swatches without generated ramps. | |
| Sorted by frequency (most used first). | |
| Args: | |
| color_tokens: Dict of colors {name: {value: "#hex", ...}} | |
| background: Background color | |
| max_colors: Maximum colors to display (default 50) | |
| Returns: | |
| HTML string for Gradio HTML component | |
| """ | |
| # Sort by frequency (highest first) | |
| sorted_tokens = [] | |
| for name, token in color_tokens.items(): | |
| if isinstance(token, dict): | |
| freq = token.get("frequency", 0) | |
| else: | |
| freq = 0 | |
| sorted_tokens.append((name, token, freq)) | |
| sorted_tokens.sort(key=lambda x: -x[2]) # Descending by frequency | |
| rows_html = "" | |
| for name, token, freq in sorted_tokens[:max_colors]: | |
| # Get hex value | |
| if isinstance(token, dict): | |
| hex_val = token.get("value", "#888888") | |
| frequency = token.get("frequency", 0) | |
| contexts = token.get("contexts", []) | |
| contrast_white = token.get("contrast_white", 0) | |
| contrast_black = token.get("contrast_black", 0) | |
| else: | |
| hex_val = str(token) | |
| frequency = 0 | |
| contexts = [] | |
| contrast_white = 0 | |
| contrast_black = 0 | |
| # Clean up hex | |
| if not hex_val.startswith("#"): | |
| hex_val = f"#{hex_val}" | |
| # Determine text color based on background luminance | |
| # Use contrast ratios to pick best text color | |
| text_color = "#1a1a1a" if contrast_white and contrast_white < 4.5 else "#ffffff" | |
| if not contrast_white: | |
| # Fallback: calculate from hex | |
| try: | |
| r = int(hex_val[1:3], 16) | |
| g = int(hex_val[3:5], 16) | |
| b = int(hex_val[5:7], 16) | |
| luminance = (0.299 * r + 0.587 * g + 0.114 * b) / 255 | |
| text_color = "#1a1a1a" if luminance > 0.5 else "#ffffff" | |
| except: | |
| text_color = "#1a1a1a" | |
| # Clean name | |
| display_name = name.replace("_", " ").replace("-", " ").replace(".", " ").title() | |
| if len(display_name) > 25: | |
| display_name = display_name[:22] + "..." | |
| # AA compliance check | |
| aa_status = "✓ AA" if contrast_white and contrast_white >= 4.5 else "✗ AA" if contrast_white else "" | |
| aa_class = "aa-pass" if contrast_white and contrast_white >= 4.5 else "aa-fail" | |
| # Context badges (limit to 3) | |
| context_html = "" | |
| for ctx in contexts[:3]: | |
| ctx_display = ctx[:12] + "..." if len(ctx) > 12 else ctx | |
| context_html += f'<span class="context-badge">{ctx_display}</span>' | |
| rows_html += f''' | |
| <div class="color-row-asis"> | |
| <div class="color-swatch-large" style="background-color: {hex_val};"> | |
| <span class="swatch-hex" style="color: {text_color};">{hex_val}</span> | |
| </div> | |
| <div class="color-info-asis"> | |
| <div class="color-name-asis">{display_name}</div> | |
| <div class="color-meta-asis"> | |
| <span class="frequency">Used {frequency}x</span> | |
| <span class="{aa_class}">{aa_status}</span> | |
| </div> | |
| <div class="context-row"> | |
| {context_html} | |
| </div> | |
| </div> | |
| </div> | |
| ''' | |
| # Show count info | |
| total_colors = len(color_tokens) | |
| showing = min(max_colors, total_colors) | |
| count_info = f"Showing {showing} of {total_colors} colors (sorted by frequency)" | |
| html = f''' | |
| <style> | |
| .colors-asis-header {{ | |
| font-family: system-ui, -apple-system, sans-serif; | |
| font-size: 14px; | |
| color: #333 !important; | |
| margin-bottom: 16px; | |
| padding: 8px 12px; | |
| background: #e8e8e8 !important; | |
| border-radius: 6px; | |
| }} | |
| .colors-asis-preview {{ | |
| font-family: system-ui, -apple-system, sans-serif; | |
| background: {background} !important; | |
| border-radius: 12px; | |
| padding: 20px; | |
| display: grid; | |
| grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); | |
| gap: 16px; | |
| max-height: 800px; | |
| overflow-y: auto; | |
| }} | |
| .color-row-asis {{ | |
| display: flex; | |
| align-items: center; | |
| background: #ffffff !important; | |
| border-radius: 8px; | |
| padding: 12px; | |
| border: 1px solid #d0d0d0 !important; | |
| box-shadow: 0 1px 3px rgba(0,0,0,0.08); | |
| }} | |
| .color-swatch-large {{ | |
| width: 80px; | |
| height: 80px; | |
| border-radius: 8px; | |
| border: 2px solid rgba(0,0,0,0.15) !important; | |
| margin-right: 16px; | |
| flex-shrink: 0; | |
| box-shadow: 0 2px 4px rgba(0,0,0,0.1); | |
| display: flex; | |
| align-items: center; | |
| justify-content: center; | |
| }} | |
| .swatch-hex {{ | |
| font-size: 11px; | |
| font-family: 'SF Mono', Monaco, monospace; | |
| font-weight: 600; | |
| text-shadow: 0 1px 2px rgba(0,0,0,0.4); | |
| }} | |
| .color-info-asis {{ | |
| flex: 1; | |
| min-width: 0; | |
| }} | |
| .color-name-asis {{ | |
| font-weight: 700; | |
| font-size: 14px; | |
| color: #1a1a1a !important; | |
| margin-bottom: 6px; | |
| white-space: nowrap; | |
| overflow: hidden; | |
| text-overflow: ellipsis; | |
| }} | |
| .color-meta-asis {{ | |
| display: flex; | |
| gap: 12px; | |
| align-items: center; | |
| margin-bottom: 6px; | |
| }} | |
| .frequency {{ | |
| font-size: 12px; | |
| color: #333 !important; | |
| font-weight: 500; | |
| }} | |
| .context-row {{ | |
| display: flex; | |
| gap: 6px; | |
| flex-wrap: wrap; | |
| }} | |
| .context-badge {{ | |
| font-size: 10px; | |
| background: #d0d0d0 !important; | |
| padding: 2px 8px; | |
| border-radius: 4px; | |
| color: #222 !important; | |
| }} | |
| .aa-pass {{ | |
| font-size: 11px; | |
| color: #166534 !important; | |
| font-weight: 700; | |
| background: #dcfce7 !important; | |
| padding: 2px 6px; | |
| border-radius: 4px; | |
| }} | |
| .aa-fail {{ | |
| font-size: 11px; | |
| color: #991b1b !important; | |
| font-weight: 700; | |
| background: #fee2e2 !important; | |
| padding: 2px 6px; | |
| border-radius: 4px; | |
| }} | |
| /* Dark mode overrides */ | |
| .dark .colors-asis-header {{ color: #e2e8f0 !important; background: #1e293b !important; }} | |
| .dark .colors-asis-preview {{ background: #0f172a !important; }} | |
| .dark .color-row-asis {{ background: #1e293b !important; border-color: #475569 !important; }} | |
| .dark .color-name-asis {{ color: #f1f5f9 !important; }} | |
| .dark .frequency {{ color: #cbd5e1 !important; }} | |
| .dark .context-badge {{ background: #334155 !important; color: #e2e8f0 !important; }} | |
| .dark .aa-pass {{ color: #22c55e !important; background: #14532d !important; }} | |
| .dark .aa-fail {{ color: #f87171 !important; background: #450a0a !important; }} | |
| </style> | |
| <div class="colors-asis-header">{count_info}</div> | |
| <div class="colors-asis-preview"> | |
| {rows_html} | |
| </div> | |
| ''' | |
| return html | |
| def generate_spacing_asis_preview_html( | |
| spacing_tokens: dict, | |
| background: str = "#FAFAFA" | |
| ) -> str: | |
| """ | |
| Generate HTML preview for AS-IS spacing (Stage 1). | |
| Shows visual blocks representing each spacing value. | |
| """ | |
| rows_html = "" | |
| # Sort by pixel value | |
| sorted_tokens = [] | |
| for name, token in spacing_tokens.items(): | |
| if isinstance(token, dict): | |
| value_px = token.get("value_px", 0) | |
| value = token.get("value", "0px") | |
| else: | |
| value = str(token) | |
| value_px = float(re.sub(r'[^0-9.]', '', value) or 0) | |
| sorted_tokens.append((name, token, value_px, value)) | |
| sorted_tokens.sort(key=lambda x: x[2]) | |
| for name, token, value_px, value in sorted_tokens[:15]: | |
| # Cap visual width at 200px | |
| visual_width = min(value_px, 200) | |
| rows_html += f''' | |
| <div class="spacing-row-asis"> | |
| <div class="spacing-label">{value}</div> | |
| <div class="spacing-bar" style="width: {visual_width}px;"></div> | |
| </div> | |
| ''' | |
| html = f''' | |
| <style> | |
| .spacing-asis-preview {{ | |
| font-family: system-ui, -apple-system, sans-serif; | |
| background: #f5f5f5 !important; | |
| border-radius: 12px; | |
| padding: 20px; | |
| }} | |
| .spacing-row-asis {{ | |
| display: flex; | |
| align-items: center; | |
| margin-bottom: 12px; | |
| background: #ffffff !important; | |
| padding: 8px 12px; | |
| border-radius: 6px; | |
| }} | |
| .spacing-label {{ | |
| width: 80px; | |
| font-size: 14px; | |
| font-weight: 600; | |
| color: #1a1a1a !important; | |
| font-family: 'SF Mono', Monaco, monospace; | |
| }} | |
| .spacing-bar {{ | |
| height: 24px; | |
| background: linear-gradient(90deg, #3b82f6 0%, #60a5fa 100%) !important; | |
| border-radius: 4px; | |
| min-width: 4px; | |
| }} | |
| /* Dark mode */ | |
| .dark .spacing-asis-preview {{ background: #0f172a !important; }} | |
| .dark .spacing-row-asis {{ background: #1e293b !important; }} | |
| .dark .spacing-label {{ color: #f1f5f9 !important; }} | |
| </style> | |
| <div class="spacing-asis-preview"> | |
| {rows_html} | |
| </div> | |
| ''' | |
| return html | |
| def generate_radius_asis_preview_html( | |
| radius_tokens: dict, | |
| background: str = "#FAFAFA" | |
| ) -> str: | |
| """ | |
| Generate HTML preview for AS-IS border radius (Stage 1). | |
| Shows boxes with each radius value applied. | |
| """ | |
| rows_html = "" | |
| for name, token in list(radius_tokens.items())[:12]: | |
| if isinstance(token, dict): | |
| value = token.get("value", "0px") | |
| else: | |
| value = str(token) | |
| rows_html += f''' | |
| <div class="radius-item"> | |
| <div class="radius-box" style="border-radius: {value};"></div> | |
| <div class="radius-label">{value}</div> | |
| </div> | |
| ''' | |
| html = f''' | |
| <style> | |
| .radius-asis-preview {{ | |
| font-family: system-ui, -apple-system, sans-serif; | |
| background: #f5f5f5 !important; | |
| border-radius: 12px; | |
| padding: 20px; | |
| display: flex; | |
| flex-wrap: wrap; | |
| gap: 20px; | |
| }} | |
| .radius-item {{ | |
| display: flex; | |
| flex-direction: column; | |
| align-items: center; | |
| background: #ffffff !important; | |
| padding: 12px; | |
| border-radius: 8px; | |
| }} | |
| .radius-box {{ | |
| width: 60px; | |
| height: 60px; | |
| background: #3b82f6 !important; | |
| margin-bottom: 8px; | |
| }} | |
| .radius-label {{ | |
| font-size: 13px; | |
| font-weight: 600; | |
| color: #1a1a1a !important; | |
| font-family: 'SF Mono', Monaco, monospace; | |
| }} | |
| /* Dark mode */ | |
| .dark .radius-asis-preview {{ background: #0f172a !important; }} | |
| .dark .radius-item {{ background: #1e293b !important; }} | |
| .dark .radius-label {{ color: #f1f5f9 !important; }} | |
| </style> | |
| <div class="radius-asis-preview"> | |
| {rows_html} | |
| </div> | |
| ''' | |
| return html | |
| def generate_shadows_asis_preview_html( | |
| shadow_tokens: dict, | |
| background: str = "#FAFAFA" | |
| ) -> str: | |
| """ | |
| Generate HTML preview for AS-IS shadows (Stage 1). | |
| Shows cards with each shadow value applied. | |
| """ | |
| rows_html = "" | |
| for name, token in list(shadow_tokens.items())[:8]: | |
| if isinstance(token, dict): | |
| value = token.get("value", "none") | |
| else: | |
| value = str(token) | |
| # Clean name for display | |
| display_name = name.replace("_", " ").replace("-", " ").title() | |
| if len(display_name) > 15: | |
| display_name = display_name[:12] + "..." | |
| rows_html += f''' | |
| <div class="shadow-item"> | |
| <div class="shadow-box" style="box-shadow: {value};"></div> | |
| <div class="shadow-label">{display_name}</div> | |
| <div class="shadow-value">{value[:40]}...</div> | |
| </div> | |
| ''' | |
| html = f''' | |
| <style> | |
| .shadows-asis-preview {{ | |
| font-family: system-ui, -apple-system, sans-serif; | |
| background: #f5f5f5 !important; | |
| border-radius: 12px; | |
| padding: 20px; | |
| display: grid; | |
| grid-template-columns: repeat(auto-fill, minmax(150px, 1fr)); | |
| gap: 24px; | |
| }} | |
| .shadow-item {{ | |
| display: flex; | |
| flex-direction: column; | |
| align-items: center; | |
| background: #e8e8e8 !important; | |
| padding: 16px; | |
| border-radius: 8px; | |
| }} | |
| .shadow-box {{ | |
| width: 100px; | |
| height: 100px; | |
| background: #ffffff !important; | |
| border-radius: 8px; | |
| margin-bottom: 12px; | |
| }} | |
| .shadow-label {{ | |
| font-size: 13px; | |
| font-weight: 600; | |
| color: #1a1a1a !important; | |
| margin-bottom: 4px; | |
| }} | |
| .shadow-value {{ | |
| font-size: 10px; | |
| color: #444 !important; | |
| font-family: 'SF Mono', Monaco, monospace; | |
| text-align: center; | |
| word-break: break-all; | |
| }} | |
| /* Dark mode */ | |
| .dark .shadows-asis-preview {{ background: #0f172a !important; }} | |
| .dark .shadow-item {{ background: #1e293b !important; }} | |
| .dark .shadow-box {{ background: #334155 !important; }} | |
| .dark .shadow-label {{ color: #f1f5f9 !important; }} | |
| .dark .shadow-value {{ color: #94a3b8 !important; }} | |
| </style> | |
| <div class="shadows-asis-preview"> | |
| {rows_html} | |
| </div> | |
| ''' | |
| return html | |
| # ============================================================================= | |
| # STAGE 2: TYPOGRAPHY PREVIEW (with rendered font) | |
| # ============================================================================= | |
| def generate_typography_preview_html( | |
| typography_tokens: dict, | |
| font_family: str = "Open Sans", | |
| background: str = "#FAFAFA", | |
| sample_text: str = "The quick brown fox jumps over the lazy dog" | |
| ) -> str: | |
| """ | |
| Generate HTML preview for typography tokens. | |
| Args: | |
| typography_tokens: Dict of typography styles {name: {font_size, font_weight, line_height, letter_spacing}} | |
| font_family: Primary font family detected | |
| background: Background color (neutral) | |
| sample_text: Text to render for preview | |
| Returns: | |
| HTML string for Gradio HTML component | |
| """ | |
| # Sort tokens by font size (largest first) | |
| sorted_tokens = [] | |
| for name, token in typography_tokens.items(): | |
| size_str = str(token.get("font_size", "16px")) | |
| size_num = float(re.sub(r'[^0-9.]', '', size_str) or 16) | |
| sorted_tokens.append((name, token, size_num)) | |
| sorted_tokens.sort(key=lambda x: -x[2]) # Descending by size | |
| # Generate rows | |
| rows_html = "" | |
| for name, token, size_num in sorted_tokens[:15]: # Limit to 15 styles | |
| font_size = token.get("font_size", "16px") | |
| font_weight = token.get("font_weight", "400") | |
| line_height = token.get("line_height", "1.5") | |
| letter_spacing = token.get("letter_spacing", "0") | |
| # Convert weight names to numbers | |
| weight_map = { | |
| "thin": 100, "extralight": 200, "light": 300, "regular": 400, | |
| "medium": 500, "semibold": 600, "bold": 700, "extrabold": 800, "black": 900 | |
| } | |
| if isinstance(font_weight, str) and font_weight.lower() in weight_map: | |
| font_weight = weight_map[font_weight.lower()] | |
| # Weight label | |
| weight_labels = { | |
| 100: "Thin", 200: "ExtraLight", 300: "Light", 400: "Regular", | |
| 500: "Medium", 600: "SemiBold", 700: "Bold", 800: "ExtraBold", 900: "Black" | |
| } | |
| weight_label = weight_labels.get(int(font_weight) if str(font_weight).isdigit() else 400, "Regular") | |
| # Clean up name for display | |
| display_name = name.replace("_", " ").replace("-", " ").title() | |
| if len(display_name) > 15: | |
| display_name = display_name[:15] + "..." | |
| # Truncate sample text for large sizes | |
| display_text = sample_text | |
| if size_num > 48: | |
| display_text = sample_text[:30] + "..." | |
| elif size_num > 32: | |
| display_text = sample_text[:40] + "..." | |
| rows_html += f''' | |
| <tr class="meta-row"> | |
| <td class="scale-name"> | |
| <div class="scale-label">{display_name}</div> | |
| </td> | |
| <td class="meta">{font_family}</td> | |
| <td class="meta">{weight_label}</td> | |
| <td class="meta">{int(size_num)}</td> | |
| <td class="meta">Sentence</td> | |
| <td class="meta">{letter_spacing}</td> | |
| </tr> | |
| <tr> | |
| <td colspan="6" class="preview-cell"> | |
| <div class="preview-text" style=" | |
| font-family: '{font_family}', sans-serif; | |
| font-size: {font_size}; | |
| font-weight: {font_weight}; | |
| line-height: {line_height}; | |
| letter-spacing: {letter_spacing}px; | |
| ">{display_text}</div> | |
| </td> | |
| </tr> | |
| ''' | |
| html = f''' | |
| <style> | |
| @import url('https://fonts.googleapis.com/css2?family={font_family.replace(" ", "+")}:wght@100;200;300;400;500;600;700;800;900&display=swap'); | |
| .typography-preview {{ | |
| font-family: system-ui, -apple-system, sans-serif; | |
| background: {background}; | |
| border-radius: 12px; | |
| padding: 20px; | |
| overflow-x: auto; | |
| }} | |
| .typography-preview table {{ | |
| width: 100%; | |
| border-collapse: collapse; | |
| }} | |
| .typography-preview th {{ | |
| text-align: left; | |
| padding: 12px 16px; | |
| font-size: 12px; | |
| font-weight: 600; | |
| color: #333; | |
| text-transform: uppercase; | |
| letter-spacing: 0.5px; | |
| border-bottom: 2px solid #E0E0E0; | |
| background: #F5F5F5; | |
| }} | |
| .typography-preview td {{ | |
| padding: 8px 16px; | |
| vertical-align: middle; | |
| }} | |
| .typography-preview .meta-row {{ | |
| background: #F8F8F8; | |
| border-top: 1px solid #E8E8E8; | |
| }} | |
| .typography-preview .scale-name {{ | |
| font-weight: 700; | |
| color: #1A1A1A; | |
| min-width: 120px; | |
| }} | |
| .typography-preview .scale-label {{ | |
| font-size: 13px; | |
| font-weight: 600; | |
| color: #1A1A1A; | |
| background: #E8E8E8; | |
| padding: 4px 8px; | |
| border-radius: 4px; | |
| display: inline-block; | |
| }} | |
| .typography-preview .meta {{ | |
| font-size: 13px; | |
| color: #444; | |
| white-space: nowrap; | |
| }} | |
| .typography-preview .preview-cell {{ | |
| padding: 16px; | |
| background: #FFFFFF; | |
| border-bottom: 1px solid #E8E8E8; | |
| }} | |
| .typography-preview .preview-text {{ | |
| color: #1A1A1A; | |
| margin: 0; | |
| word-break: break-word; | |
| }} | |
| .typography-preview tr:hover .preview-cell {{ | |
| background: #F5F5F5; | |
| }} | |
| /* Dark mode */ | |
| .dark .typography-preview {{ background: #1e293b !important; }} | |
| .dark .typography-preview th {{ background: #334155 !important; color: #e2e8f0 !important; border-bottom-color: #475569 !important; }} | |
| .dark .typography-preview td {{ color: #e2e8f0 !important; }} | |
| .dark .typography-preview .meta-row {{ background: #1e293b !important; border-top-color: #334155 !important; }} | |
| .dark .typography-preview .scale-name, | |
| .dark .typography-preview .scale-label {{ color: #f1f5f9 !important; background: #475569 !important; }} | |
| .dark .typography-preview .meta {{ color: #cbd5e1 !important; }} | |
| .dark .typography-preview .preview-cell {{ background: #0f172a !important; border-bottom-color: #334155 !important; }} | |
| .dark .typography-preview .preview-text {{ color: #f1f5f9 !important; }} | |
| .dark .typography-preview tr:hover .preview-cell {{ background: #1e293b !important; }} | |
| </style> | |
| <div class="typography-preview"> | |
| <table> | |
| <thead> | |
| <tr> | |
| <th>Scale Category</th> | |
| <th>Typeface</th> | |
| <th>Weight</th> | |
| <th>Size</th> | |
| <th>Case</th> | |
| <th>Letter Spacing</th> | |
| </tr> | |
| </thead> | |
| <tbody> | |
| {rows_html} | |
| </tbody> | |
| </table> | |
| </div> | |
| ''' | |
| return html | |
| # ============================================================================= | |
| # COLOR RAMP PREVIEW | |
| # ============================================================================= | |
| def hex_to_rgb(hex_color: str) -> tuple: | |
| """Convert hex color to RGB tuple.""" | |
| hex_color = hex_color.lstrip('#') | |
| if len(hex_color) == 3: | |
| hex_color = ''.join([c*2 for c in hex_color]) | |
| return tuple(int(hex_color[i:i+2], 16) for i in (0, 2, 4)) | |
| def rgb_to_hex(rgb: tuple) -> str: | |
| """Convert RGB tuple to hex string.""" | |
| return '#{:02x}{:02x}{:02x}'.format(int(rgb[0]), int(rgb[1]), int(rgb[2])) | |
| def get_luminance(rgb: tuple) -> float: | |
| """Calculate relative luminance for contrast ratio.""" | |
| def adjust(c): | |
| c = c / 255 | |
| return c / 12.92 if c <= 0.03928 else ((c + 0.055) / 1.055) ** 2.4 | |
| r, g, b = rgb | |
| return 0.2126 * adjust(r) + 0.7152 * adjust(g) + 0.0722 * adjust(b) | |
| def get_contrast_ratio(color1: tuple, color2: tuple) -> float: | |
| """Calculate contrast ratio between two colors.""" | |
| l1 = get_luminance(color1) | |
| l2 = get_luminance(color2) | |
| lighter = max(l1, l2) | |
| darker = min(l1, l2) | |
| return (lighter + 0.05) / (darker + 0.05) | |
| def generate_color_ramp(base_hex: str) -> list[dict]: | |
| """ | |
| Generate 11 shades (50-950) from a base color. | |
| Uses OKLCH-like approach for perceptually uniform steps. | |
| """ | |
| try: | |
| rgb = hex_to_rgb(base_hex) | |
| except: | |
| return [] | |
| # Convert to HLS for easier manipulation | |
| r, g, b = [x / 255 for x in rgb] | |
| h, l, s = colorsys.rgb_to_hls(r, g, b) | |
| # Define lightness levels for each shade | |
| # 50 = very light (0.95), 500 = base, 950 = very dark (0.05) | |
| shade_lightness = { | |
| 50: 0.95, | |
| 100: 0.90, | |
| 200: 0.80, | |
| 300: 0.70, | |
| 400: 0.60, | |
| 500: l, # Keep original lightness for 500 | |
| 600: 0.45, | |
| 700: 0.35, | |
| 800: 0.25, | |
| 900: 0.15, | |
| 950: 0.08, | |
| } | |
| # Adjust saturation for light/dark shades | |
| ramp = [] | |
| for shade, target_l in shade_lightness.items(): | |
| # Reduce saturation for very light colors | |
| if target_l > 0.8: | |
| adjusted_s = s * 0.6 | |
| elif target_l < 0.2: | |
| adjusted_s = s * 0.8 | |
| else: | |
| adjusted_s = s | |
| # Generate new RGB | |
| new_r, new_g, new_b = colorsys.hls_to_rgb(h, target_l, adjusted_s) | |
| new_rgb = (int(new_r * 255), int(new_g * 255), int(new_b * 255)) | |
| new_hex = rgb_to_hex(new_rgb) | |
| # Check AA compliance | |
| white = (255, 255, 255) | |
| black = (0, 0, 0) | |
| contrast_white = get_contrast_ratio(new_rgb, white) | |
| contrast_black = get_contrast_ratio(new_rgb, black) | |
| # AA requires 4.5:1 for normal text | |
| aa_on_white = contrast_white >= 4.5 | |
| aa_on_black = contrast_black >= 4.5 | |
| ramp.append({ | |
| "shade": shade, | |
| "hex": new_hex, | |
| "rgb": new_rgb, | |
| "contrast_white": round(contrast_white, 2), | |
| "contrast_black": round(contrast_black, 2), | |
| "aa_on_white": aa_on_white, | |
| "aa_on_black": aa_on_black, | |
| }) | |
| return ramp | |
| def generate_color_ramps_preview_html( | |
| color_tokens: dict, | |
| background: str = "#FAFAFA", | |
| max_colors: int = 20 | |
| ) -> str: | |
| """ | |
| Generate HTML preview for color ramps. | |
| Sorts colors by frequency and filters out near-white/near-black | |
| to prioritize showing actual brand colors. | |
| Args: | |
| color_tokens: Dict of colors {name: {value: "#hex", ...}} | |
| background: Background color | |
| max_colors: Maximum colors to show ramps for | |
| Returns: | |
| HTML string for Gradio HTML component | |
| """ | |
| def get_color_priority(name, token): | |
| """Calculate priority score for a color (higher = more important).""" | |
| if isinstance(token, dict): | |
| hex_val = token.get("value", "#888888") | |
| frequency = token.get("frequency", 0) | |
| else: | |
| hex_val = str(token) | |
| frequency = 0 | |
| # Clean hex | |
| if not hex_val.startswith("#"): | |
| hex_val = f"#{hex_val}" | |
| # Calculate luminance | |
| try: | |
| r = int(hex_val[1:3], 16) | |
| g = int(hex_val[3:5], 16) | |
| b = int(hex_val[5:7], 16) | |
| luminance = (0.299 * r + 0.587 * g + 0.114 * b) / 255 | |
| # Calculate saturation (simplified) | |
| max_c = max(r, g, b) | |
| min_c = min(r, g, b) | |
| saturation = (max_c - min_c) / 255 if max_c > 0 else 0 | |
| except: | |
| luminance = 0.5 | |
| saturation = 0 | |
| # Priority scoring: | |
| # - Penalize near-white (luminance > 0.9) | |
| # - Penalize near-black (luminance < 0.1) | |
| # - Penalize low saturation (grays) | |
| # - Reward high frequency | |
| # - Reward colors with "primary", "brand", "accent" in name | |
| score = frequency * 10 # Base score from frequency | |
| # Penalize extremes | |
| if luminance > 0.9: | |
| score -= 500 # Near white | |
| if luminance < 0.1: | |
| score -= 300 # Near black | |
| # Reward saturated colors (actual brand colors) | |
| score += saturation * 200 | |
| # Reward named brand colors | |
| name_lower = name.lower() | |
| if any(kw in name_lower for kw in ['primary', 'brand', 'accent', 'cyan', 'blue', 'green', 'red', 'orange', 'purple']): | |
| score += 100 | |
| # Penalize "background", "border", "text" colors | |
| if any(kw in name_lower for kw in ['background', 'border', 'neutral', 'gray', 'grey']): | |
| score -= 50 | |
| return score | |
| # Sort colors by priority | |
| sorted_colors = [] | |
| for name, token in color_tokens.items(): | |
| priority = get_color_priority(name, token) | |
| sorted_colors.append((name, token, priority)) | |
| sorted_colors.sort(key=lambda x: -x[2]) # Descending by priority | |
| rows_html = "" | |
| shown_count = 0 | |
| for name, token, priority in sorted_colors: | |
| if shown_count >= max_colors: | |
| break | |
| # Get hex value | |
| if isinstance(token, dict): | |
| hex_val = token.get("value", "#888888") | |
| else: | |
| hex_val = str(token) | |
| # Clean up hex | |
| if not hex_val.startswith("#"): | |
| hex_val = f"#{hex_val}" | |
| # Skip invalid hex | |
| if len(hex_val) < 7: | |
| continue | |
| # Generate ramp | |
| ramp = generate_color_ramp(hex_val) | |
| if not ramp: | |
| continue | |
| # Clean name | |
| display_name = name.replace("_", " ").replace("-", " ").replace(".", " ").title() | |
| if len(display_name) > 18: | |
| display_name = display_name[:15] + "..." | |
| # Generate shade cells | |
| shades_html = "" | |
| for shade_info in ramp: | |
| shade = shade_info["shade"] | |
| hex_color = shade_info["hex"] | |
| aa_white = shade_info["aa_on_white"] | |
| aa_black = shade_info["aa_on_black"] | |
| # Determine text color for label | |
| text_color = "#000" if shade < 500 else "#FFF" | |
| # AA indicator | |
| if aa_white or aa_black: | |
| aa_indicator = "✓" | |
| aa_class = "aa-pass" | |
| else: | |
| aa_indicator = "" | |
| aa_class = "" | |
| shades_html += f''' | |
| <div class="shade-cell" style="background-color: {hex_color};" title="{hex_color} | AA: {'Pass' if aa_white or aa_black else 'Fail'}"> | |
| <span class="shade-label" style="color: {text_color};">{shade}</span> | |
| <span class="aa-badge {aa_class}">{aa_indicator}</span> | |
| </div> | |
| ''' | |
| rows_html += f''' | |
| <div class="color-row"> | |
| <div class="color-info"> | |
| <div class="color-swatch" style="background-color: {hex_val};"></div> | |
| <div class="color-meta"> | |
| <div class="color-name">{display_name}</div> | |
| <div class="color-hex">{hex_val}</div> | |
| </div> | |
| </div> | |
| <div class="color-ramp"> | |
| {shades_html} | |
| </div> | |
| </div> | |
| ''' | |
| shown_count += 1 | |
| # Count info | |
| total_colors = len(color_tokens) | |
| count_info = f"Showing {shown_count} of {total_colors} colors (sorted by brand priority)" | |
| html = f''' | |
| <style> | |
| .color-ramps-preview {{ | |
| font-family: system-ui, -apple-system, sans-serif; | |
| background: #f5f5f5 !important; | |
| border-radius: 12px; | |
| padding: 20px; | |
| overflow-x: auto; | |
| }} | |
| .color-row {{ | |
| display: flex; | |
| align-items: center; | |
| margin-bottom: 16px; | |
| padding: 12px; | |
| background: #ffffff !important; | |
| border-radius: 8px; | |
| border: 1px solid #d0d0d0 !important; | |
| }} | |
| .color-row:last-child {{ | |
| margin-bottom: 0; | |
| }} | |
| .color-info {{ | |
| display: flex; | |
| align-items: center; | |
| min-width: 160px; | |
| margin-right: 20px; | |
| }} | |
| .color-swatch {{ | |
| width: 44px; | |
| height: 44px; | |
| border-radius: 8px; | |
| border: 2px solid rgba(0,0,0,0.15) !important; | |
| margin-right: 12px; | |
| flex-shrink: 0; | |
| box-shadow: 0 2px 4px rgba(0,0,0,0.1); | |
| }} | |
| .color-meta {{ | |
| flex: 1; | |
| min-width: 100px; | |
| }} | |
| .color-name {{ | |
| font-weight: 700; | |
| font-size: 13px; | |
| color: #1a1a1a !important; | |
| margin-bottom: 4px; | |
| background: #e0e0e0 !important; | |
| padding: 4px 10px; | |
| border-radius: 4px; | |
| display: inline-block; | |
| }} | |
| .color-hex {{ | |
| font-size: 12px; | |
| color: #333 !important; | |
| font-family: 'SF Mono', Monaco, monospace; | |
| margin-top: 4px; | |
| font-weight: 500; | |
| }} | |
| .color-ramp {{ | |
| display: flex; | |
| gap: 4px; | |
| flex: 1; | |
| }} | |
| .shade-cell {{ | |
| width: 48px; | |
| height: 48px; | |
| border-radius: 6px; | |
| display: flex; | |
| flex-direction: column; | |
| align-items: center; | |
| justify-content: center; | |
| position: relative; | |
| cursor: pointer; | |
| transition: transform 0.15s; | |
| border: 1px solid rgba(0,0,0,0.1) !important; | |
| }} | |
| .shade-cell:hover {{ | |
| transform: scale(1.1); | |
| z-index: 10; | |
| box-shadow: 0 4px 12px rgba(0,0,0,0.2); | |
| }} | |
| .shade-label {{ | |
| font-size: 10px; | |
| font-weight: 700; | |
| }} | |
| .aa-badge {{ | |
| font-size: 12px; | |
| margin-top: 2px; | |
| font-weight: 700; | |
| }} | |
| .aa-pass {{ | |
| color: #166534 !important; | |
| }} | |
| .aa-fail {{ | |
| color: #991b1b !important; | |
| }} | |
| .shade-cell:hover .shade-label, | |
| .shade-cell:hover .aa-badge {{ | |
| opacity: 1; | |
| }} | |
| /* Header row */ | |
| .ramp-header {{ | |
| display: flex; | |
| margin-bottom: 12px; | |
| padding-left: 180px; | |
| background: #e8e8e8 !important; | |
| padding-top: 8px; | |
| padding-bottom: 8px; | |
| border-radius: 6px; | |
| }} | |
| .ramp-header-label {{ | |
| width: 48px; | |
| text-align: center; | |
| font-size: 12px; | |
| font-weight: 700; | |
| color: #333 !important; | |
| margin-right: 4px; | |
| }} | |
| .ramps-header-info {{ | |
| font-size: 14px; | |
| color: #333 !important; | |
| margin-bottom: 16px; | |
| padding: 10px 14px; | |
| background: #e0e0e0 !important; | |
| border-radius: 6px; | |
| font-weight: 500; | |
| }} | |
| /* Dark mode */ | |
| .dark .color-ramps-preview {{ background: #0f172a !important; }} | |
| .dark .ramps-header-info {{ color: #e2e8f0 !important; background: #1e293b !important; }} | |
| .dark .ramp-header {{ background: #1e293b !important; }} | |
| .dark .ramp-header-label {{ color: #cbd5e1 !important; }} | |
| .dark .color-row {{ background: #1e293b !important; border-color: #475569 !important; }} | |
| .dark .color-name {{ color: #f1f5f9 !important; background: #475569 !important; }} | |
| .dark .color-hex {{ color: #cbd5e1 !important; }} | |
| </style> | |
| <div class="color-ramps-preview"> | |
| <div class="ramps-header-info">{count_info}</div> | |
| <div class="ramp-header"> | |
| <span class="ramp-header-label">50</span> | |
| <span class="ramp-header-label">100</span> | |
| <span class="ramp-header-label">200</span> | |
| <span class="ramp-header-label">300</span> | |
| <span class="ramp-header-label">400</span> | |
| <span class="ramp-header-label">500</span> | |
| <span class="ramp-header-label">600</span> | |
| <span class="ramp-header-label">700</span> | |
| <span class="ramp-header-label">800</span> | |
| <span class="ramp-header-label">900</span> | |
| <span class="ramp-header-label">950</span> | |
| </div> | |
| {rows_html} | |
| </div> | |
| ''' | |
| return html | |
| # ============================================================================= | |
| # SEMANTIC COLOR RAMPS WITH LLM RECOMMENDATIONS (Stage 2) | |
| # ============================================================================= | |
| def generate_semantic_color_ramps_html( | |
| semantic_analysis: dict, | |
| color_tokens: dict, | |
| llm_recommendations: dict = None, | |
| background: str = "#F5F5F5" | |
| ) -> str: | |
| """ | |
| Generate HTML preview for colors organized by semantic role with LLM recommendations. | |
| Args: | |
| semantic_analysis: Output from SemanticColorAnalyzer | |
| color_tokens: Dict of all color tokens | |
| llm_recommendations: LLM suggestions for color improvements | |
| background: Background color | |
| Returns: | |
| HTML string for Gradio HTML component | |
| """ | |
| def generate_single_ramp(hex_val: str) -> str: | |
| """Generate a single color ramp HTML.""" | |
| ramp = generate_color_ramp(hex_val) | |
| if not ramp: | |
| return "" | |
| shades_html = "" | |
| for shade_info in ramp: | |
| shade = shade_info["shade"] | |
| hex_color = shade_info["hex"] | |
| aa_white = shade_info["aa_on_white"] | |
| aa_black = shade_info["aa_on_black"] | |
| text_color = "#000" if shade < 500 else "#FFF" | |
| aa_indicator = "✓" if aa_white or aa_black else "" | |
| shades_html += f''' | |
| <div class="sem-shade" style="background-color: {hex_color};"> | |
| <span class="sem-shade-num" style="color: {text_color};">{shade}</span> | |
| <span class="sem-shade-aa" style="color: {text_color};">{aa_indicator}</span> | |
| </div> | |
| ''' | |
| return shades_html | |
| def color_row_with_recommendation(hex_val: str, role: str, role_display: str, recommendation: dict = None) -> str: | |
| """Generate a color row with optional LLM recommendation.""" | |
| ramp_html = generate_single_ramp(hex_val) | |
| # Calculate contrast | |
| try: | |
| from core.color_utils import get_contrast_with_white | |
| contrast = get_contrast_with_white(hex_val) | |
| aa_status = "✓ AA" if contrast >= 4.5 else f"⚠️ {contrast:.1f}:1" | |
| aa_class = "aa-ok" if contrast >= 4.5 else "aa-warn" | |
| except: | |
| aa_status = "" | |
| aa_class = "" | |
| # LLM recommendation display | |
| rec_html = "" | |
| if recommendation: | |
| suggested = recommendation.get("suggested", "") | |
| issue = recommendation.get("issue", "") | |
| if suggested and suggested != hex_val: | |
| rec_html = f''' | |
| <div class="llm-rec"> | |
| <span class="rec-label">💡 LLM:</span> | |
| <span class="rec-issue">{issue}</span> | |
| <span class="rec-arrow">→</span> | |
| <span class="rec-suggested" style="background-color: {suggested};">{suggested}</span> | |
| </div> | |
| ''' | |
| return f''' | |
| <div class="sem-color-row"> | |
| <div class="sem-color-info"> | |
| <div class="sem-swatch" style="background-color: {hex_val};"></div> | |
| <div class="sem-details"> | |
| <div class="sem-role">{role_display}</div> | |
| <div class="sem-hex">{hex_val} <span class="{aa_class}">{aa_status}</span></div> | |
| </div> | |
| </div> | |
| <div class="sem-ramp">{ramp_html}</div> | |
| {rec_html} | |
| </div> | |
| ''' | |
| def category_section(title: str, icon: str, colors: dict, category_key: str) -> str: | |
| """Generate a category section with color rows.""" | |
| if not colors: | |
| return "" | |
| rows_html = "" | |
| for role, data in colors.items(): | |
| if data and isinstance(data, dict) and "hex" in data: | |
| # Get LLM recommendation for this role | |
| rec = None | |
| if llm_recommendations: | |
| color_recs = llm_recommendations.get("color_recommendations", {}) | |
| rec = color_recs.get(f"{category_key}.{role}", {}) | |
| role_display = role.replace("_", " ").title() | |
| rows_html += color_row_with_recommendation( | |
| data["hex"], | |
| f"{category_key}.{role}", | |
| role_display, | |
| rec | |
| ) | |
| if not rows_html: | |
| return "" | |
| return f''' | |
| <div class="sem-category"> | |
| <h3 class="sem-cat-title">{icon} {title}</h3> | |
| {rows_html} | |
| </div> | |
| ''' | |
| # Handle empty analysis | |
| if not semantic_analysis: | |
| return ''' | |
| <div class="sem-warning-box" style="padding: 40px; text-align: center; background: #fff3cd; border-radius: 8px;"> | |
| <p style="color: #856404; font-size: 14px;">⚠️ No semantic analysis available.</p> | |
| </div> | |
| <style> | |
| .dark .sem-warning-box { background: #422006 !important; border-color: #b45309 !important; } | |
| .dark .sem-warning-box p { color: #fde68a !important; } | |
| </style> | |
| ''' | |
| # Build sections | |
| sections_html = "" | |
| sections_html += category_section("Brand Colors", "🎨", semantic_analysis.get("brand", {}), "brand") | |
| sections_html += category_section("Text Colors", "📝", semantic_analysis.get("text", {}), "text") | |
| sections_html += category_section("Background Colors", "🖼️", semantic_analysis.get("background", {}), "background") | |
| sections_html += category_section("Border Colors", "📏", semantic_analysis.get("border", {}), "border") | |
| sections_html += category_section("Feedback Colors", "🚨", semantic_analysis.get("feedback", {}), "feedback") | |
| # LLM Impact Summary | |
| llm_summary = "" | |
| if llm_recommendations: | |
| changes = llm_recommendations.get("changes_made", []) | |
| if changes: | |
| changes_html = "".join([f"<li>{c}</li>" for c in changes[:5]]) | |
| llm_summary = f''' | |
| <div class="llm-summary"> | |
| <h4>🤖 LLM Recommendations Applied:</h4> | |
| <ul>{changes_html}</ul> | |
| </div> | |
| ''' | |
| html = f''' | |
| <style> | |
| .sem-ramps-preview {{ | |
| font-family: system-ui, -apple-system, sans-serif; | |
| background: #f5f5f5 !important; | |
| border-radius: 12px; | |
| padding: 20px; | |
| }} | |
| .sem-category {{ | |
| background: #ffffff !important; | |
| border-radius: 8px; | |
| padding: 16px; | |
| margin-bottom: 20px; | |
| border: 1px solid #d0d0d0 !important; | |
| }} | |
| .sem-cat-title {{ | |
| font-size: 16px; | |
| font-weight: 700; | |
| color: #1a1a1a !important; | |
| margin: 0 0 16px 0; | |
| padding-bottom: 8px; | |
| border-bottom: 2px solid #e0e0e0 !important; | |
| }} | |
| .sem-color-row {{ | |
| display: flex; | |
| flex-wrap: wrap; | |
| align-items: center; | |
| padding: 12px; | |
| background: #f8f8f8 !important; | |
| border-radius: 6px; | |
| margin-bottom: 12px; | |
| border: 1px solid #e0e0e0 !important; | |
| }} | |
| .sem-color-row:last-child {{ | |
| margin-bottom: 0; | |
| }} | |
| .sem-color-info {{ | |
| display: flex; | |
| align-items: center; | |
| min-width: 180px; | |
| margin-right: 16px; | |
| }} | |
| .sem-swatch {{ | |
| width: 48px; | |
| height: 48px; | |
| border-radius: 8px; | |
| border: 2px solid rgba(0,0,0,0.15) !important; | |
| margin-right: 12px; | |
| box-shadow: 0 2px 4px rgba(0,0,0,0.1); | |
| }} | |
| .sem-details {{ | |
| flex: 1; | |
| }} | |
| .sem-role {{ | |
| font-weight: 700; | |
| font-size: 14px; | |
| color: #1a1a1a !important; | |
| margin-bottom: 4px; | |
| }} | |
| .sem-hex {{ | |
| font-size: 12px; | |
| font-family: 'SF Mono', Monaco, monospace; | |
| color: #333 !important; | |
| }} | |
| .aa-ok {{ | |
| color: #166534 !important; | |
| font-weight: 600; | |
| }} | |
| .aa-warn {{ | |
| color: #b45309 !important; | |
| font-weight: 600; | |
| }} | |
| .sem-ramp {{ | |
| display: flex; | |
| gap: 3px; | |
| flex: 1; | |
| min-width: 400px; | |
| }} | |
| .sem-shade {{ | |
| width: 36px; | |
| height: 36px; | |
| border-radius: 4px; | |
| display: flex; | |
| flex-direction: column; | |
| align-items: center; | |
| justify-content: center; | |
| border: 1px solid rgba(0,0,0,0.1) !important; | |
| }} | |
| .sem-shade-num {{ | |
| font-size: 9px; | |
| font-weight: 700; | |
| }} | |
| .sem-shade-aa {{ | |
| font-size: 10px; | |
| }} | |
| .llm-rec {{ | |
| width: 100%; | |
| margin-top: 10px; | |
| padding: 8px 12px; | |
| background: #fef3c7 !important; | |
| border-radius: 4px; | |
| display: flex; | |
| align-items: center; | |
| gap: 8px; | |
| border: 1px solid #f59e0b !important; | |
| }} | |
| .rec-label {{ | |
| font-weight: 600; | |
| color: #92400e !important; | |
| }} | |
| .rec-issue {{ | |
| color: #78350f !important; | |
| font-size: 13px; | |
| }} | |
| .rec-arrow {{ | |
| color: #92400e !important; | |
| }} | |
| .rec-suggested {{ | |
| padding: 4px 10px; | |
| border-radius: 4px; | |
| font-family: 'SF Mono', Monaco, monospace; | |
| font-size: 12px; | |
| font-weight: 600; | |
| color: #fff !important; | |
| text-shadow: 0 1px 2px rgba(0,0,0,0.3); | |
| }} | |
| .llm-summary {{ | |
| background: #dbeafe !important; | |
| border: 1px solid #3b82f6 !important; | |
| border-radius: 8px; | |
| padding: 16px; | |
| margin-top: 20px; | |
| }} | |
| .llm-summary h4 {{ | |
| color: #1e40af !important; | |
| margin: 0 0 12px 0; | |
| font-size: 14px; | |
| }} | |
| .llm-summary ul {{ | |
| margin: 0; | |
| padding-left: 20px; | |
| color: #1e3a8a !important; | |
| }} | |
| .llm-summary li {{ | |
| margin-bottom: 4px; | |
| font-size: 13px; | |
| }} | |
| /* Dark mode */ | |
| .dark .sem-ramps-preview {{ background: #0f172a !important; }} | |
| .dark .sem-category {{ background: #1e293b !important; border-color: #475569 !important; }} | |
| .dark .sem-cat-title {{ color: #f1f5f9 !important; border-bottom-color: #475569 !important; }} | |
| .dark .sem-color-row {{ background: #0f172a !important; border-color: #334155 !important; }} | |
| .dark .sem-role {{ color: #f1f5f9 !important; }} | |
| .dark .sem-hex {{ color: #cbd5e1 !important; }} | |
| .dark .llm-rec {{ background: #422006 !important; border-color: #b45309 !important; }} | |
| .dark .rec-label {{ color: #fbbf24 !important; }} | |
| .dark .rec-issue {{ color: #fde68a !important; }} | |
| .dark .rec-arrow {{ color: #fbbf24 !important; }} | |
| .dark .llm-summary {{ background: #1e3a5f !important; border-color: #3b82f6 !important; }} | |
| .dark .llm-summary h4 {{ color: #93c5fd !important; }} | |
| .dark .llm-summary ul, .dark .llm-summary li {{ color: #bfdbfe !important; }} | |
| </style> | |
| <div class="sem-ramps-preview"> | |
| {sections_html} | |
| {llm_summary} | |
| </div> | |
| ''' | |
| return html | |
| # ============================================================================= | |
| # COMBINED PREVIEW | |
| # ============================================================================= | |
| def generate_design_system_preview_html( | |
| typography_tokens: dict, | |
| color_tokens: dict, | |
| font_family: str = "Open Sans", | |
| sample_text: str = "The quick brown fox jumps over the lazy dog" | |
| ) -> tuple[str, str]: | |
| """ | |
| Generate both typography and color ramp previews. | |
| Returns: | |
| Tuple of (typography_html, color_ramps_html) | |
| """ | |
| typography_html = generate_typography_preview_html( | |
| typography_tokens=typography_tokens, | |
| font_family=font_family, | |
| sample_text=sample_text, | |
| ) | |
| color_ramps_html = generate_color_ramps_preview_html( | |
| color_tokens=color_tokens, | |
| ) | |
| return typography_html, color_ramps_html | |