Remove unused 'model' variable and logging statements (#2228)

This pull request removes the unused 'model' variable and logging
statements from the codebase.

backend/modules/brain/composite_brain_qa.py

@@ -94,7 +94,6 @@ class CompositeBrainQA(
             return KnowledgeBrainQA(
                 brain_id=str(brain.id),
                 chat_id=self.chat_id,
-                model=self.model,
                 max_tokens=self.max_tokens,
                 temperature=self.temperature,
                 streaming=self.streaming,

backend/modules/brain/knowledge_brain_qa.py

@@ -177,7 +177,7 @@ class KnowledgeBrainQA(BaseModel, QAInterface):
         self.models_settings = self.user_usage.get_model_settings()
         self.increase_usage_user()
         self.knowledge_qa = QuivrRAG(
-            model=self.brain.model,
+            model=self.brain.model if self.brain.model else self.model,
             brain_id=brain_id,
             chat_id=chat_id,
             streaming=streaming,

backend/modules/brain/repository/brains_users.py

@@ -45,17 +45,12 @@ class BrainsUsers(BrainsUsersInterface):
         for item in response.data:
             integration_logo_url = ""
             if item["brains"]["brain_type"] == "integration":
-                logger.info("Integration brain")
-                logger.info(item["brains"])
                 if "integrations_user" in item["brains"]:
                     for integration_user in item["brains"]["integrations_user"]:
                         if "integrations" in integration_user:
                             integration_logo_url = integration_user["integrations"][
                                 "integration_logo_url"
                             ]
-                            logger.info(
-                                "Integration logo url: " + str(integration_logo_url)
-                            )
 
             user_brains.append(
                 MinimalUserBrainEntity(

backend/modules/chat/controller/chat/brainful_chat.py

@@ -81,7 +81,6 @@ class BrainfulChat(ChatInterface):
             )
             return APIBrainQA(
                 chat_id=chat_id,
-                model=model,
                 temperature=temperature,
                 brain_id=str(brain.brain_id),
                 streaming=streaming,
@@ -104,7 +103,6 @@ class BrainfulChat(ChatInterface):
             if integration_class:
                 return integration_class(
                     chat_id=chat_id,
-                    model=model,
                     temperature=temperature,
                     brain_id=str(brain.brain_id),
                     streaming=streaming,