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https://github.com/open-webui/open-webui
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wip
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commit
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@ -62,8 +62,12 @@ from open_webui.routers import (
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users,
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utils,
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)
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from open_webui.retrieval.utils import get_sources_from_files
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from open_webui.routers.retrieval import (
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get_embedding_function,
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update_embedding_model,
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update_reranking_model,
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)
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from open_webui.socket.main import (
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@ -73,15 +77,16 @@ from open_webui.socket.main import (
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get_event_emitter,
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)
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from open_webui.internal.db import Session
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from backend.open_webui.routers.webui import (
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from open_webui.routers.webui import (
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app as webui_app,
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generate_function_chat_completion,
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get_all_models as get_open_webui_models,
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)
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from open_webui.models.functions import Functions
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from open_webui.models.models import Models
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from open_webui.models.users import UserModel, Users
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@ -523,6 +528,34 @@ app.state.sentence_transformer_rf = None
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app.state.YOUTUBE_LOADER_TRANSLATION = None
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app.state.EMBEDDING_FUNCTION = get_embedding_function(
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app.state.config.RAG_EMBEDDING_ENGINE,
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app.state.config.RAG_EMBEDDING_MODEL,
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app.state.sentence_transformer_ef,
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(
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app.state.config.OPENAI_API_BASE_URL
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if app.state.config.RAG_EMBEDDING_ENGINE == "openai"
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else app.state.config.OLLAMA_BASE_URL
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),
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(
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app.state.config.OPENAI_API_KEY
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if app.state.config.RAG_EMBEDDING_ENGINE == "openai"
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else app.state.config.OLLAMA_API_KEY
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),
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app.state.config.RAG_EMBEDDING_BATCH_SIZE,
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)
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update_embedding_model(
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app.state.config.RAG_EMBEDDING_MODEL,
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RAG_EMBEDDING_MODEL_AUTO_UPDATE,
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)
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update_reranking_model(
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app.state.config.RAG_RERANKING_MODEL,
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RAG_RERANKING_MODEL_AUTO_UPDATE,
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)
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########################################
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#
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# IMAGES
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@ -155,17 +155,6 @@ def update_reranking_model(
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request.app.state.sentence_transformer_rf = None
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update_embedding_model(
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request.app.state.config.RAG_EMBEDDING_MODEL,
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RAG_EMBEDDING_MODEL_AUTO_UPDATE,
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)
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update_reranking_model(
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request.app.state.config.RAG_RERANKING_MODEL,
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RAG_RERANKING_MODEL_AUTO_UPDATE,
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)
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##########################################
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#
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# API routes
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@ -176,24 +165,6 @@ update_reranking_model(
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router = APIRouter()
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request.app.state.EMBEDDING_FUNCTION = get_embedding_function(
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request.app.state.config.RAG_EMBEDDING_ENGINE,
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request.app.state.config.RAG_EMBEDDING_MODEL,
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request.app.state.sentence_transformer_ef,
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(
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request.app.state.config.OPENAI_API_BASE_URL
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if request.app.state.config.RAG_EMBEDDING_ENGINE == "openai"
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else request.app.state.config.OLLAMA_BASE_URL
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),
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(
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request.app.state.config.OPENAI_API_KEY
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if request.app.state.config.RAG_EMBEDDING_ENGINE == "openai"
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else request.app.state.config.OLLAMA_API_KEY
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),
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request.app.state.config.RAG_EMBEDDING_BATCH_SIZE,
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)
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class CollectionNameForm(BaseModel):
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collection_name: Optional[str] = None
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