forked from open-webui/open-webui
refac
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f4b87ecb23
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2 changed files with 28 additions and 23 deletions
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@ -142,43 +142,40 @@ class EmbeddingModelUpdateForm(BaseModel):
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async def update_embedding_model(
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form_data: EmbeddingModelUpdateForm, user=Depends(get_admin_user)
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):
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status = True
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old_model_path = app.state.RAG_EMBEDDING_MODEL_PATH
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app.state.RAG_EMBEDDING_MODEL = form_data.embedding_model
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log.debug(f"form_data.embedding_model: {form_data.embedding_model}")
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log.info(
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f"Updating embedding model: {app.state.RAG_EMBEDDING_MODEL} to {form_data.embedding_model}"
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)
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embedding_model_path = None
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sentence_transformer_ef = None
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try:
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app.state.RAG_EMBEDDING_MODEL_PATH = get_embedding_model_path(
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app.state.RAG_EMBEDDING_MODEL, True
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)
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app.state.sentence_transformer_ef = (
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embedding_functions.SentenceTransformerEmbeddingFunction(
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model_name=app.state.RAG_EMBEDDING_MODEL_PATH,
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device=DEVICE_TYPE,
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embedding_model_path = get_embedding_model_path(form_data.embedding_model, True)
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if app.state.RAG_EMBEDDING_MODEL_PATH != embedding_model_path:
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sentence_transformer_ef = (
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embedding_functions.SentenceTransformerEmbeddingFunction(
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model_name=embedding_model_path,
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device=DEVICE_TYPE,
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)
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)
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)
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except Exception as e:
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log.exception(f"Problem updating embedding model: {e}")
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=e,
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detail=ERROR_MESSAGES.DEFAULT(e),
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)
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if app.state.RAG_EMBEDDING_MODEL_PATH == old_model_path:
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status = False
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if sentence_transformer_ef:
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app.state.RAG_EMBEDDING_MODEL_PATH = embedding_model_path
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app.state.sentence_transformer_ef = sentence_transformer_ef
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log.debug(
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f"app.state.RAG_EMBEDDING_MODEL_PATH: {app.state.RAG_EMBEDDING_MODEL_PATH}"
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)
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log.debug(f"old_model_path: {old_model_path}")
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log.debug(f"status: {status}")
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log.debug(
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f"app.state.RAG_EMBEDDING_MODEL_PATH: {app.state.RAG_EMBEDDING_MODEL_PATH}"
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)
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return {
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"status": status,
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"status": sentence_transformer_ef != None,
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"embedding_model": app.state.RAG_EMBEDDING_MODEL,
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"embedding_model_path": app.state.RAG_EMBEDDING_MODEL_PATH,
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}
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@ -35,6 +35,9 @@
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k: 4
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};
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let embeddingModelConfig = {
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embedding_model: ''
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};
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let embeddingModel = '';
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const scanHandler = async () => {
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@ -61,7 +64,13 @@
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console.log('Update embedding model attempt:', embeddingModel);
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updateEmbeddingModelLoading = true;
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const res = await updateEmbeddingModel(localStorage.token, { embedding_model: embeddingModel });
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const res = await updateEmbeddingModel(localStorage.token, {
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embedding_model: embeddingModel
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}).catch((error) => {
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toast.error(error);
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embeddingModel = embeddingModelConfig.embedding_model;
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return null;
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});
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updateEmbeddingModelLoading = false;
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if (res) {
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@ -99,8 +108,7 @@
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chunkOverlap = res.chunk.chunk_overlap;
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}
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const embeddingModelConfig = await getEmbeddingModel(localStorage.token);
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embeddingModelConfig = await getEmbeddingModel(localStorage.token);
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embeddingModel = embeddingModelConfig.embedding_model;
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querySettings = await getQuerySettings(localStorage.token);
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