Update app.py

app.py

@@ -19,9 +19,22 @@ recipes = [
 
 client = InferenceClient("microsoft/phi-4")
 
-def respond(message, history):
+def respond(message, history, budget, have_items, allergies):
     # Start with a system prompt
-    messages = [{"role": "system", "content": "You are a friendly recipe assistant."}]
+    instruction = "You are a friendly chatbot that is designed to help users find recipes they can cook with ingredients they already have at home. "
+    instruction += "The current user has " + have_items + "at home. "
+    instruction += "The current user is allergic to: " + allergies + ". These ingredients must under no circumstance feature in the recipes you provide. "
+    instruction += "For purchasing any additional items, the current user has a budget of: " + budget + "£. "
+    instruction += "After the user says what they want to have, you must respond with a recipe you find online, please lay out your response in the following way: "
+    instruction += """
+        NAME OF THE RECIPE AS A TITLE WITH A BORDER USING = SIGNS
+        the ingredients required for the recipe listed (in brackets the cost of any ingredients the user doesn't already have)
+        a short (max 350 words) summary of the method for making the meal detailing any special appliances required
+        a link to the source from which you found the recipe
+        a message asking the user if they want to make this recipe, want more info on where to buy ingredients, or if they want something else.
+        (depending on the user's response you must respond to their request, if it is for another recipe, follow the exact same format)
+    """
+    messages = [{"role": "system", "content": instruction}]
 
     # Convert Gradio history (list of [user, assistant] pairs) to OpenAI-style message format
     for user_msg, bot_msg in history: