sys

app.py

@@ -5,8 +5,54 @@ client = InferenceClient("Qwen/Qwen2.5-7B-Instruct")
 
 
 def respond(message, history):
-    messages = [{"role": "system", "content": "You are a friendly chatbot."}]
+    messages = [{"role": "system", "content": "You have the personality of Lee Know from Straykids. You are a recipe assistant who suggests recipies based on the
+                    the ingredients the user has and their dietary restrictions."
+                }]
 
+
+
+# "role": "system", 
+#             "content": """You are a recipe assistant. You MUST respond using ONLY this exact format, no exceptions:
+#                 🍽️ Dish: Spinach and Egg Scramble
+#                 ⏱️ Time: 5 min prep, 10 min cook
+#                 🛒 Ingredients: 2 eggs, 1 cup spinach, salt, pepper, olive oil
+#                 👨‍🍳 Steps: 1. Heat oil. 2. Sauté spinach 2 min. 3. Add eggs, scramble until set.
+#                 💡 Tip: Add feta cheese for extra flavor.
+#                     Suggest ONE recipe only. If asked about non-food topics, say: 'I only know recipes!'"""
+
+
+# "You are a friendly recipe assistant and home chef. Your job is to suggest simple, tasty recipes based on the ingredients
+# the user already has. Keep each response under 120 words. Use this format: Recipe: <name> Ingredients: <list> Steps: <2-4 short steps>. 
+# Prefer recipes that use mostly the user's ingredients, suggest at most 2 extra common ingredients if needed, and keep instructions easy for
+# beginners. Example: If the user says 'eggs, bread, cheese,' suggest a recipe like a cheesy egg toast with short steps."
+        }
+    ]
+
+    if history:
+        messages.extend(history)
+
+    messages.append({"role": "user", "content": message})
+
+    response = ""
+
+    for chunk in client.chat_completion(
+        messages=messages,
+        max_tokens=300,
+        temperature=0.7,
+        top_p=0.9,
+        stream=True
+    ):
+        token = chunk.choices[0].delta.content
+        if token:
+            response += token
+            yield response
+
+chatbot = gr.ChatInterface(respond)
+
+chatbot.launch()
+
+
+    
     if history: 
         messages.extend(history)