Chage torch import to conditional import
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@@ -4,7 +4,6 @@ import mimetypes
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import os
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import os
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import shutil
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import shutil
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import asyncio
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import asyncio
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import torch
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import uuid
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import uuid
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from datetime import datetime
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from datetime import datetime
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@@ -287,8 +286,10 @@ async def update_embedding_config(
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request.app.state.EMBEDDING_FUNCTION = None
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request.app.state.EMBEDDING_FUNCTION = None
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import gc
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import gc
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gc.collect()
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gc.collect()
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if torch.cuda.is_available():
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if DEVICE_TYPE == 'cuda':
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torch.cuda.empty_cache()
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import torch
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if torch.cuda.is_available():
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torch.cuda.empty_cache()
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try:
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try:
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request.app.state.config.RAG_EMBEDDING_ENGINE = form_data.embedding_engine
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request.app.state.config.RAG_EMBEDDING_ENGINE = form_data.embedding_engine
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request.app.state.config.RAG_EMBEDDING_MODEL = form_data.embedding_model
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request.app.state.config.RAG_EMBEDDING_MODEL = form_data.embedding_model
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@@ -820,8 +821,10 @@ async def update_rag_config(
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request.app.state.RERANKING_FUNCTION = None
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request.app.state.RERANKING_FUNCTION = None
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import gc
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import gc
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gc.collect()
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gc.collect()
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if torch.cuda.is_available():
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if DEVICE_TYPE == 'cuda':
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torch.cuda.empty_cache()
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import torch
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if torch.cuda.is_available():
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torch.cuda.empty_cache()
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request.app.state.config.RAG_RERANKING_ENGINE = (
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request.app.state.config.RAG_RERANKING_ENGINE = (
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form_data.RAG_RERANKING_ENGINE
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form_data.RAG_RERANKING_ENGINE
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if form_data.RAG_RERANKING_ENGINE is not None
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if form_data.RAG_RERANKING_ENGINE is not None
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