Update backend.py

backend.py

@@ -42,10 +42,10 @@ def get_spectrogram_base64(audio_path):
 
 def generate_medical_advice_from_vision(base64_img):
     """
-    Uses Llama 3.2 Vision (via Groq) to look at the Spectrogram and diagnose it.
+    Uses Llama 4 Scout Vision (via Groq) to look at the Spectrogram and diagnose it.
     """
     if not base64_img:
-        return "Error: Could not process the audio into a visual spectrogram."
+        return "Error: Could not process the audio into a visual spectrogram for the AI."
 
     prompt = """
     You are an AI medical assistant specializing in cardiology. Look closely at this Mel-Spectrogram of a patient's Phonocardiogram (heart sound). 
@@ -61,7 +61,8 @@ def generate_medical_advice_from_vision(base64_img):
 
     try:
         response = client.chat.completions.create(
-            model="llama-3.2-90b-vision-preview", # Upgraded to the larger, more stable vision model
+            # UPDATED: Pointing to Groq's current active vision model
+            model="meta-llama/llama-4-scout-17b-16e-instruct", 
             messages=[
                 {
                     "role": "user",
@@ -81,10 +82,10 @@ def generate_medical_advice_from_vision(base64_img):
         )
         return response.choices[0].message.content
     except Exception as e:
-        # Instead of a generic message, we now capture the exact error from Groq
         actual_error = str(e)
         print(f"Groq Vision API Error: {actual_error}")
-        return f"API Error: {actual_error}\n\n(If you see a 404 or Model Not Found error, Groq might have temporarily rotated their vision models.)"
+        return f"Groq API Error: {actual_error}"
+          
 
 def text_to_speech(text):
     """