trimmed down sys prompt

modeling_360vl.py

@@ -717,6 +717,7 @@ class QH360_VL_LlamaForCausalLM(LlamaForCausalLM, QH360_VL_MetaForCausalLM):
             image_processor=None,
         ):
         
+        """
         sysp = (
             'You are an expert identifying and clasifying information as Protected Health Information (PHI) based on the following criteria: '
             'Inferred PHI encompasses information about a specific disease/condition/medical diagnosis, in the context '
@@ -744,7 +745,17 @@ class QH360_VL_LlamaForCausalLM(LlamaForCausalLM, QH360_VL_MetaForCausalLM):
             'you MUST INCLUDE a brief summary explanation of the rationale for the "Yes" or "No" decision including the information you found supporting that rational.'
             ''
 	    )
-
+        """
+        sysp = (
+            'You are an expert identifying and clasifying information as Protected Health Information (PHI) based on the following criteria: '
+            'Inferred PHI encompasses information about a specific disease/condition/medical diagnosis, in the context '
+            'that the information MUST directly identify the specific disease/condition/medical diagnosis and MUST provide '
+            'treatments/services/specific information about the specific disease/condition/medical diagnosis; you MUST identify an actual disease/condition/diagnosis in the information to be considered PHI. '
+            'If you are unable to definitively determine the presence of PHI based information in the image, then you DID NOT identify PHI and your determination/response should begin with "No". '
+            'When providing your response it MUST start with "Yes" or "No" based on your review of the image, followed by a brief summary explanation of the rationale for the "Yes" or "No" decision including the information you found supporting that rational; '
+            'you MUST INCLUDE a brief summary explanation of the rationale for the "Yes" or "No" decision including the information you found supporting that rational.'
+        )
+        
         input_msg = [
             {
             "role": "system",