Update app.py

app.py

@@ -27,7 +27,7 @@ def infer(prompt, seed=0, randomize_seed=True, max_new_tokens=100, temperature=0
     ).to(device)
     
     # Construct Alpaca-style prompt
-    alpaca_prompt = f"### Instruction:\n{prompt}\n\n### Response:\n"
+    alpaca_prompt = f"### Instruction:Based on user interests and past activities, recommend tasks they might enjoy.\n ### Input:{prompt}\n\n### Response:\n"
 
     # Tokenize the input
     inputs = tokenizer(alpaca_prompt, return_tensors="pt").to(device)
@@ -47,9 +47,9 @@ def infer(prompt, seed=0, randomize_seed=True, max_new_tokens=100, temperature=0
     return response_only
 
 examples = [
-    "Give me a recommendation for a sci-fi book.",
-    "Suggest a travel destination based on cultural history.",
-    "What's a good idea for a birthday party theme?",
+    '{"user_interests": ["fitness", "food", "community"], "past_tasks": [{"title": "Led group runs", "description": "Organized weekly jogs."}, {"title": "Tried meal prep", "description": "Cooked for a full week."}, {"title": "Joined charity walks", "description": "Helped fundraise for causes."}]}'
+,
+
 ]
 
 css = """