米其林级别国际美食分子架构分解图

Complete prompt

2x2 grid, 1:1, do this for 4 famous international dishes: # In[1]: Import Flavor Chemistry Libraries import auto_inference_engine as ai import editorial_renderer as er  subject = "[$DISH_NAME]"  # In[2]: Deconstruct into Volatile Compounds df_gastronomy = ai.dissect_dish(subject, layers=['Aroma Cloud','Texture Matrix','Maillard Canvas','Cultural Memory']) df_gastronomy['pairing_note'] = df_gastronomy.apply(lambda row: ai.suggest_wine_pairing(row.molecule), axis=1)  # In[3]: Build Edible Exploded View fig = er.Canvas(style="Gourmet Food Photography 3D", lighting="Softbox & Backlit Steam", dof="Selective Focus on Aromatics") fig.add_title(f"THE UNSEEN ARCHITECTURE OF {subject.upper()}")  for index, layer in df_gastronomy.iterrows():     frame = fig.add_frame(shape="Flavor Wheel Wedge", size=layer.intensity_value)     frame.render_3d_model(layer.ingredient_scan, lighting="Glossy & Translucent")     frame.add_tasting_label(f"{layer.sensory_layer} | {layer.key_molecule} | {layer.pairing_note}")     fig.draw_aroma_trail(previous_frame, frame, style="Volatile Swirl")  fig.add_sidebar("Chef’s notebook: technique origins, texture modifiers") fig.add_tasting_grid(df_gastronomy[['sensory_layer', 'key_molecule', 'pairing_note', 'umami_bump']])  # In[4]: Render fig.render(quality="Michelin Guide Editorial Photorealism")

2x2 网格，1:1 比例，针对 4 种著名的国际菜肴执行以下操作：

# In[1]: 导入风味化学库
import auto_inference_engine as ai
import editorial_renderer as er

subject = "[$DISH_NAME]"

# In[2]: 解构为挥发性化合物
df_gastronomy = ai.dissect_dish(subject, layers=['香气云', '质地矩阵', '美拉德画布', '文化记忆'])
df_gastronomy['pairing_note'] = df_gastronomy.apply(lambda row: ai.suggest_wine_pairing(row.molecule), axis=1)

# In[3]: 构建可食用的爆炸视图
fig = er.Canvas(style="高端美食摄影 3D", lighting="柔光箱与背光蒸汽", dof="香气物质选择性聚焦")
fig.add_title(f"{subject.upper()} 的隐性架构")

for index, layer in df_gastronomy.iterrows():
    frame = fig.add_frame(shape="风味轮楔形", size=layer.intensity_value)
    frame.render_3d_model(layer.ingredient_scan, lighting="光泽感与透明感")
    frame.add_tasting_label(f"{layer.sensory_layer} | {layer.key_molecule} | {layer.pairing_note}")
    fig.draw_aroma_trail(previous_frame, frame, style="挥发性漩涡")

fig.add_sidebar("大厨笔记：技法起源、质地改良剂")
fig.add_tasting_grid(df_gastronomy[['sensory_layer', 'key_molecule', 'pairing_note', 'umami_bump']])

# In[4]: 渲染
fig.render(quality="米其林指南社论级写实摄影")

Sources & attribution

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@Gdgtify

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ChatGPT

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2026-05-13 · OpenNana entry creation date, not the original-post date

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