Update app.py

app.py

@@ -90,14 +90,21 @@ def answer_question(query, context=""):
 
     # Attempt to retrieve a recipe-related context
     related_recipes = retrieve_recipes(query, top_k=1)
-    if related_recipes is not None and not related_recipes.empty:
-        context = related_recipes.iloc[0]['instructions']
-    else:
+    if related_recipes is None or related_recipes.empty:
         return "I specialize in recipes! 🍽️ Feel free to ask me about ingredients, cooking methods, or meal ideas. 😊"
 
+    # If a valid recipe is found, use its instructions as context
+    context = related_recipes.iloc[0]['instructions']
+
     # Generate an answer using the LLM
     response = llm_model(question=query, context=context)
-    return response.get("answer", "I'm not sure, but I can help with recipes! What would you like to cook?").strip()
+
+    # Ensure we only return meaningful answers
+    answer = response.get("answer", "").strip()
+    if not answer:
+        return "I'm not sure, but I can help with recipes! What would you like to cook?"
+
+    return answer
 
 # --- 8. Classify Query Type (Q&A or Recipe Search) ---
 @st.cache_resource