Update app.py to update recipe

app.py

@@ -76,7 +76,6 @@ def process_kitchen_operations(input_image, budget, days):
     with torch.no_grad():
         generated_ids = model.generate(**inputs, max_new_tokens=50)
         
-    # Trim prompt padding from generation token boundaries
     generated_ids_trimmed = [
         out_ids[len(in_ids):] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
     ]
@@ -88,23 +87,65 @@ def process_kitchen_operations(input_image, budget, days):
 
     # 3. Dynamic array mapping to local state matrix
     df_rows = []
-    raw_items = [item.strip() for item in detected_text.replace(".", ",").split(",") if item.strip()]
+    raw_items = [item.strip().title() for item in detected_text.replace(".", ",").split(",") if item.strip()]
     
     if not raw_items or raw_items == [""]:
-        raw_items = ["Salmon Fillet", "Fresh Broccoli", "Cherry Tomatoes"]
+        raw_items = ["Salmon", "Broccoli", "Tomatoes", "Lettuce", "Chicken", "Onions"]
 
     for raw_item in raw_items:
-        df_rows.append([raw_item.title(), "1 Unit", "Fresh (Nominal)", "$3.50"])
+        df_rows.append([raw_item, "1 Unit", "Fresh (Nominal)", "$3.50"])
             
     save_state_to_disk(df_rows)
     
+    # =====================================================================
+    # 🍳 DYNAMIC LOGISTICS & RECIPE GENERATION ENGINE
+    # =====================================================================
     daily_budget_allowance = budget / days
+    
+    # Categorize ingredients on the fly for logical pairing
+    lower_items = [x.lower() for x in raw_items]
+    
+    proteins = [x for x in raw_items if any(p in x.lower() for p in ['salmon', 'chicken', 'beef', 'pork', 'tofu', 'turkey'])]
+    veggies = [x for x in raw_items if any(v in x.lower() for v in ['broccoli', 'lettuce', 'tomato', 'pepper', 'mushroom', 'spinach', 'eggplant'])]
+    aromatics = [x for x in raw_items if any(a in x.lower() for a in ['onion', 'garlic', 'ginger'])]
+
+    # Fallback lists to maintain stability if vision classifications drift
+    if not proteins: proteins = ["Discovered Protein Asset"]
+    if not veggies: veggies = ["Fresh Greens"]
+
+    # Generate recipe structures step-by-step based on available timeline bounds
+    recipe_steps = []
+    
+    # Day 1 Strategy: Perishable/Premium Protein Routing
+    p1 = proteins[0]
+    v1 = veggies[0] if len(veggies) > 0 else "Accompanying Vegetables"
+    a1 = f" sautéed with {aromatics[0]}" if aromatics else ""
+    recipe_steps.append(f"**Day 1 (Asset Recovery - High Priority):** Prepare a **Pan-Seared {p1}** paired with a crisp side of fresh **{v1}**{a1}. Consuming these items early maximizes nutritional book value and prevents wilting telemetry alerts.")
+
+    # Day 2 Strategy: Secondary Protein Optimization
+    if days >= 2:
+        p2 = proteins[1] if len(proteins) > 1 else proteins[0]
+        v2 = veggies[1] if len(veggies) > 1 else (veggies[0] if len(veggies) > 0 else "Assorted Garden Greens")
+        recipe_steps.append(f"**Day 2 (Mid-Horizon Balance):** Execute a **Skillet {p2} Stir-Fry** utilizing chopped **{v2}**. This securely routes secondary core components into your operations phase before quality degradations occur.")
+
+    # Day 3 Strategy: Final Consolidated Field Clearance
+    if days >= 3:
+        v_remaining = ", ".join(raw_items[2:5]) if len(raw_items) > 2 else "remaining visual assets"
+        recipe_steps.append(f"**Day 3 (Horizon Target - Clearance Run):** Consolidate your inventory with an **Optimized Harvest Bowl / Soup Base**, stewing **{v_remaining}**. This effectively clears out remaining active fridge assets while respecting your daily allocation.")
+
+    # Build the complete, compiled markdown payload
     blueprint_md = (
-        f"### 🛠️ Logistics Routing Strategy Generated via Qwen2.5-VL\n\n"
+        f"### 🛠️ Detailed Culinary Logistics Blueprint (Generated via Qwen2.5-VL)\n\n"
         f"**Operational Horizon:** {days} Days | **Daily Financial Runway Ceiling:** ${daily_budget_allowance:.2f}/day\n\n"
-        f"📋 **Dynamic Cook Execution Pathway:**\n"
-        f"- **Day 1 Asset Recovery:** Prioritize routing fresh profile (**{raw_items[0]}**) mapped by the edge sensor.\n"
-        f"- **Day 2-3 Runway Balance:** Allocate remaining items under your strict financial boundary of ${daily_budget_allowance:.2f}/day."
+        f"📋 **Step-by-Step Cooking Execution Path:**\n\n"
+    )
+    
+    for step in recipe_steps[:days]:
+        blueprint_md += f"- {step}\n\n"
+        
+    blueprint_md += (
+        f"⚠️ **Operational Cost Control:** Keeping cumulative execution paths restricted to these identified items "
+        f"safely maintains your target financial boundary of **${budget:.2f} USD** across the entire pipeline window."
     )
     
     return df_rows, blueprint_md