Update app.py

app.py

@@ -159,14 +159,20 @@ def initialize_llmchain(llm_model, temperature, max_tokens, top_k, vector_db, pr
 
 
 
-    template = """Your task is as follows: 1. Determine if the input {question} is compliant with the provided {context}. 2. If the {question} is compliant, report "This requirement is compliant." 3. If the {question} is not compliant report "This requirement is not compliant." 4. If the {question} is not compliant, give the reason for non compliance and return the specific rule or guideline the requirement violates from the {context}. 5. If the {question} is not compliant, report a refined version of the {question} that is compliant with the provided {context}.
-    Context: {context}
-    Chat History: {chat_history}
-    Input: {question}
-    """#Standalone question:"""
+    template = """Your task is as follows: 
+    1. Determine if the input {question} is compliant with the provided {context}. 
+    2. If the {question} is compliant, report "This requirement is compliant." 
+    3. If the {question} is not compliant report "This requirement is not compliant." 
+    4. If the {question} is not compliant, give the reason for non compliance and return the specific rule or guideline the requirement violates from the {context}. 
+    5. If the {question} is not compliant, report a refined version of the {question} that is compliant with the provided {context}.
+    """
+    #Context: {context}
+    #Chat History: {chat_history}
+    #Input: {question}
+    #"""#Standalone question:"""
     
     PROMPT = PromptTemplate(
-        input_variables=["question","context", "chat_history"],#, "question"], 
+        input_variables=["question","context"]#, "chat_history"],#, "question"], 
         template=template
     )