feat: adicionando pequena instrução ao system_prompt padrão

langchain_backend/utils.py

@@ -75,7 +75,7 @@ def create_llm(modelParam):
     return HuggingFaceEndpoint(
         repo_id=modelParam,
         task="text-generation",
-        # max_new_tokens=100,
+        max_new_tokens=1100,
         do_sample=False,
         huggingfacehub_api_token=os.environ.get("HUGGINGFACEHUB_API_TOKEN")
     )
@@ -151,10 +151,8 @@ Example: :
   "[Título da obra]" [i]Resumo:[/i] [Resumo da posição do autor]",
   
   "palavras_chave": "[size=4][b]4. Palavras-chave Principais[/b][/size] 
-  [Palavra
-  have 1] 
-  [Palavra
-  have 2] 
+  [Palavra-chave 1] 
+  [Palavra-chave 2] 
   [Palavra-chave 3] 
   [Adicione outras palavras relevantes]"
 }}
@@ -168,4 +166,7 @@ Remember:
 - If the summary request asks for a specific focus or perspective, make sure to address it directly.
 
 Your goal is to provide a comprehensive yet concise summary that accurately represents the document's content while meeting the specific needs outlined in the summary request.
+
+Do not pass in the response part of the instructions that you received
+The content to be summarized is as follows:
 """