update prompt

app.py

@@ -85,7 +85,7 @@ generator = pipeline("text-generation", model="gpt2", max_new_tokens=100, do_sam
 
 def summarize_notes(patient_id):
     treatment_text = get_treatment_plan_from_patient_id(patient_id)
-    prompt = f"Context: {treatment_text}\nQuestion: What are a few special care instructions for this patient?\nAnswer:"
+    prompt = f"Based on this treatment plan, summarize key care instructions for the patient in 2-3 sentences: {treatment_text}"
 
     result = generator(prompt, return_full_text=False)
     return result[0]["generated_text"].strip()