Update app.py

app.py

@@ -40,13 +40,13 @@ def query_gpt(api_key, llava_med_result, user_question, model="gpt-4o"):
     openai.api_key = api_key  # Set API key dynamically
     prompt = f"""
     You are an AI Medical Assistant specializing in radiology, trained to analyze radiology scan findings (e.g., MRI, CT, X-ray) and provide clear, medically accurate explanations. 
-    Based on the scan analysis {llava_med_result} and the question {user_question}, provide a concise summary of the radiology findings, explain their clinical significance in relation to 
-    the question, and offer relevant recommendations such as follow-up imaging, specialist consultations, or further tests. Use clear, professional language, and if uncertain, 
+    Based on the scan analysis {llava_med_result} and the question {user_question}, provide a concise summary of the radiology findings. Use clear, professional language, and if uncertain, 
     recommend consulting a licensed radiologist or healthcare provider.
     """
     response = openai.chat.completions.create(
         model=model,
-        messages=[{"role": "user", "content": prompt}]
+        messages=[{"role": "user", "content": prompt}],
+        max_tokens=512
     )
     return response.choices[0].message.content