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te.recipe.rewrite-ai-search.0.19.0.source-code.get_embedding.py Maven / Gradle / Ivy

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#
# Copyright 2021 the original author or authors.
# 

# Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at #

# https://www.apache.org/licenses/LICENSE-2.0 #

# Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # #initialize models from infinity_emb import EngineArgs, AsyncEmbeddingEngine from infinity_emb import create_server import uvicorn import logging from fastapi.responses import JSONResponse logging.getLogger("infinity_emb").setLevel(logging.ERROR) engine_args = EngineArgs( model_name_or_path="michaelfeil/bge-small-en-v1.5", device="cpu", engine="optimum", served_model_name="bge-small", compile=True, batch_size=1 ) fastapi_app = create_server(engine_args_list=[engine_args]) @fastapi_app.head("/embeddings") def read_root_head(): return JSONResponse({"message": "Infinity embedding is running"}) uvicorn.run(fastapi_app, host="127.0.0.1", port=7860)





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