Unveiling the Science Behind Global Flavors

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")