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fix: Internationalization of Models #2068

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merged 1 commit into from
Jan 22, 2025
Merged

fix: Internationalization of Models #2068

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6 changes: 3 additions & 3 deletions apps/application/chat_pipeline/step/chat_step/impl/base_chat_step.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@

from django.db.models import QuerySet
from django.http import StreamingHttpResponse
from django.utils.translation import gettext as __
from django.utils.translation import gettext as _
from langchain.chat_models.base import BaseChatModel
from langchain.schema import BaseMessage
from langchain.schema.messages import HumanMessage, AIMessage
Expand Down Expand Up @@ -174,7 +174,7 @@ def get_stream_result(message_list: List[BaseMessage],
[AIMessageChunk(content=no_references_setting.get('value').replace('{question}', problem_text))]), False
if chat_model is None:
return iter([AIMessageChunk(
__('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.'))]), False
_('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.'))]), False
else:
return chat_model.stream(message_list), True

Expand Down Expand Up @@ -219,7 +219,7 @@ def get_block_result(message_list: List[BaseMessage],
return AIMessage(no_references_setting.get('value').replace('{question}', problem_text)), False
if chat_model is None:
return AIMessage(
__('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.')), False
_('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.')), False
else:
return chat_model.invoke(message_list), True

Expand Down
4 changes: 2 additions & 2 deletions apps/application/chat_pipeline/step/reset_problem_step/impl/base_reset_problem_step.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,15 +8,15 @@
"""
from typing import List

from django.utils.translation import gettext as __
from django.utils.translation import gettext as _
from langchain.schema import HumanMessage

from application.chat_pipeline.step.reset_problem_step.i_reset_problem_step import IResetProblemStep
from application.models import ChatRecord
from common.util.split_model import flat_map
from setting.models_provider.tools import get_model_instance_by_model_user_id

prompt = __(
prompt = _(
"() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")


Expand Down
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