Update main.py

main.py

@@ -1,4 +1,5 @@
 import os
+import re
 import pandas as pd
 import faiss
 import torch
@@ -18,6 +19,10 @@ index = None
 df = None
 
 
+# ==============================
+# STARTUP EVENT
+# ==============================
+
 @app.on_event("startup")
 def load_assets():
     global model, index, df
@@ -42,24 +47,35 @@ def load_assets():
     print("✅ All assets loaded successfully!")
 
 
-@app.get("/")
-def home():
-    return {"status": "KitchenElite API Running 🚀"}
-
+# ==============================
+# UTILITY FUNCTION
+# ==============================
 
-@app.get("/search")
 def clean_instructions(instruction_input):
     if isinstance(instruction_input, str) and instruction_input.startswith('c("'):
-
         content = re.search(r'c\("(.*)"\)', instruction_input)
         if content:
-            # Split by "," and clean quotes/whitespace
-            return [step.strip().strip('"') for step in content.group(1).split('", "')]
+            return [
+                step.strip().strip('"')
+                for step in content.group(1).split('", "')
+            ]
 
     if isinstance(instruction_input, (list, np.ndarray)):
         return list(instruction_input)
 
     return [str(instruction_input)]
+
+
+# ==============================
+# ROUTES
+# ==============================
+
+@app.get("/")
+def home():
+    return {"status": "KitchenElite API Running 🚀"}
+
+
+@app.get("/search")
 def search(query: str):
     query_vector = model.encode([query])
     faiss.normalize_L2(query_vector)
@@ -82,7 +98,7 @@ def search(query: str):
             ),
             "calories": float(row["calories"]),
             "protein": float(row["protein"]),
-            "instructions": clean_instructions(row['RecipeInstructions'])
+            "instructions": clean_instructions(row["RecipeInstructions"])
         })
 
     return {