Update app.py

app.py

@@ -18,11 +18,15 @@ llm = HuggingFaceEndpoint(
 def suggest_recipes(ingredients):
     # Create a prompt for the recipe generation
     prompt = (
-        f"You are an expert in cooking. Carefully review the provided ingredients: {ingredients}. "
-        f"If ingredients are invalid (e.g., non-food items, questions or any random words ), respond only with a two-line polite apology for not being able to process the request & Please do not provide any recipes, alternative suggestions, or outputs in such cases. "
-        f"If all ingredients are valid, suggest 2 recipes using them. Provide a title, preparation time, and step-by-step directions. "
-        f"Do not include the ingredients list in the recipes."
-)
+            f"You are a professional chef. Please evaluate the provided input: {ingredients}. "
+            f"If the input does not contain valid food ingredients (e.g., it includes non-food items, random text, or questions like 'What should I cook today?'), "
+            f"respond with exactly two lines apologizing for not being able to process the request. "
+            f"Do not provide recipes, suggestions, or any other information in such cases. "
+            f"If the input contains valid food ingredients, suggest exactly 2 recipes. For each recipe, provide: "
+            f"1) A title, 2) Preparation time, and 3) Clear, step-by-step instructions. "
+            f"Do not include the ingredient list in the response."
+    )
+
 
     
     # Use the HuggingFaceEndpoint model to generate a response