fix: shea butter parser, superfat display, stop hallucination tokens

app.py

@@ -49,7 +49,8 @@ def ask_model(prompt: str, context: str) -> str:
                 {"role": "system", "content": SYSTEM_PROMPT},
                 {"role": "user", "content": full_prompt}
             ],
-            max_tokens=800,
+            max_tokens=500,
+            stop=["user ", "User ", "\nuser", "\nUser"],
         )
         return response.choices[0].message.content
     except Exception as e:
@@ -69,11 +70,19 @@ def parse_recipe(text: str) -> dict[str, float]:
         weight = float(weight_str)
         oil_fragment = oil_fragment.strip().rstrip(',').strip()
         matched_key = None
+        # Try exact match first
         for key in OILS:
-            key_words = key.replace('(', '').replace(')', '').split()
-            if any(word in oil_fragment for word in key_words if len(word) > 3):
+            if key == oil_fragment.strip():
                 matched_key = key
                 break
+        # Then try word match
+        if not matched_key:
+            for key in OILS:
+                key_words = key.replace('(','').replace(')','').split()
+                scored_words = [w for w in key_words if len(w) > 4 and w not in ["butter","oil","seed","palm"]]
+                if scored_words and all(w in oil_fragment for w in scored_words):
+                    matched_key = key
+                    break
         if matched_key and weight > 0:
             recipe[matched_key] = recipe.get(matched_key, 0) + weight
     return recipe