Change /root/ to /home/user/.

comps/dataprep/milvus/config.py

@@ -12,7 +12,7 @@
 MILVUS_PORT = int(os.getenv("MILVUS_PORT", 19530))
 COLLECTION_NAME = os.getenv("COLLECTION_NAME", "rag_milvus")
 
-MOSEC_EMBEDDING_MODEL = os.environ.get("MOSEC_EMBEDDING_MODEL", "/root/bce-embedding-base_v1")
+MOSEC_EMBEDDING_MODEL = os.environ.get("MOSEC_EMBEDDING_MODEL", "/home/user/bce-embedding-base_v1")
 MOSEC_EMBEDDING_ENDPOINT = os.environ.get("MOSEC_EMBEDDING_ENDPOINT", "")
 os.environ["OPENAI_API_BASE"] = MOSEC_EMBEDDING_ENDPOINT
 os.environ["OPENAI_API_KEY"] = "Dummy key"

comps/embeddings/langchain-mosec/embedding_mosec.py

@@ -67,7 +67,7 @@ def embedding(input: TextDoc) -> EmbedDoc:
     MOSEC_EMBEDDING_ENDPOINT = os.environ.get("MOSEC_EMBEDDING_ENDPOINT", "http://127.0.0.1:8080")
     os.environ["OPENAI_API_BASE"] = MOSEC_EMBEDDING_ENDPOINT
     os.environ["OPENAI_API_KEY"] = "Dummy key"
-    MODEL_ID = "/root/bge-large-zh-v1.5"
+    MODEL_ID = "/home/user/bge-large-zh-v1.5"
     embeddings = MosecEmbeddings(model=MODEL_ID)
     print("Mosec Embedding initialized.")
     opea_microservices["opea_service@embedding_mosec"].start()

comps/embeddings/langchain-mosec/mosec-docker/README.md

@@ -25,13 +25,13 @@ docker run -itd -p 8000:8000 embedding:latest
 - Restful API by curl
 
 ```shell
-curl -X POST http://127.0.0.1:8000/v1/embeddings -H "Content-Type: application/json" -d '{ "model": "/root/bge-large-zh-v1.5/", "input": "hello world"}'
+curl -X POST http://127.0.0.1:8000/v1/embeddings -H "Content-Type: application/json" -d '{ "model": "/home/user/bge-large-zh-v1.5/", "input": "hello world"}'
 ```
 
 - generate embedding from python
 
 ```python
-DEFAULT_MODEL = "/root/bge-large-zh-v1.5/"
+DEFAULT_MODEL = "/home/user/bge-large-zh-v1.5/"
 SERVICE_URL = "http://127.0.0.1:8000"
 INPUT_STR = "Hello world!"
 

comps/embeddings/langchain-mosec/mosec-docker/test-embedding.py

@@ -4,7 +4,7 @@
 
 from openai import Client
 
-DEFAULT_MODEL = "/root/bge-large-zh-v1.5/"
+DEFAULT_MODEL = "/home/user/bge-large-zh-v1.5/"
 SERVICE_URL = "http://127.0.0.1:8000"
 INPUT_STR = "Hello world!"
 

comps/llms/text-generation/vllm-openvino/launch_model_server.sh

@@ -51,7 +51,7 @@ docker run -d --rm --name="vllm-openvino-server" \
   -e HTTPS_PROXY=$https_proxy \
   -e HTTP_PROXY=$https_proxy \
   -e HF_TOKEN=${HUGGINGFACEHUB_API_TOKEN} \
-  -v $HOME/.cache/huggingface:/root/.cache/huggingface \
+  -v $HOME/.cache/huggingface:/home/user/.cache/huggingface \
   vllm:openvino /bin/bash -c "\
     cd / && \
     export VLLM_CPU_KVCACHE_SPACE=50 && \

comps/llms/text-generation/vllm-ray/docker/Dockerfile.vllmray

@@ -6,10 +6,10 @@ FROM vault.habana.ai/gaudi-docker/1.16.0/ubuntu22.04/habanalabs/pytorch-installe
 
 ENV LANG=en_US.UTF-8
 
-WORKDIR /root/vllm-ray
+WORKDIR /home/user/vllm-ray
 
 # copy the source code to the package directory
-COPY comps/llms/text-generation/vllm-ray /root/vllm-ray
+COPY comps/llms/text-generation/vllm-ray /home/user/vllm-ray
 
 RUN pip install --upgrade-strategy eager optimum[habana] && \
     pip install git+https://github.com/HabanaAI/[email protected]
@@ -21,7 +21,7 @@ RUN sed -i 's/#PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/
     service ssh restart
 
 ENV no_proxy=localhost,127.0.0.1
-ENV PYTHONPATH=$PYTHONPATH:/root:/root/vllm-ray
+ENV PYTHONPATH=$PYTHONPATH:/root:/home/user/vllm-ray
 
 # Required by DeepSpeed
 ENV RAY_EXPERIMENTAL_NOSET_HABANA_VISIBLE_MODULES=1

comps/llms/text-generation/vllm-xft/docker/Dockerfile

@@ -58,13 +58,13 @@ RUN cmake .. -DCMAKE_INSTALL_PREFIX=/usr/local/oneCCL \
 
 RUN echo "source /usr/local/oneCCL/env/setvars.sh" >> ~/.bashrc
 
-WORKDIR /root/
+WORKDIR /home/user/
 RUN rm -rf /tmp/oneCCL
 
 RUN git clone https://github.com/intel/xFasterTransformer.git
 
 SHELL ["/bin/bash", "-c"]
-WORKDIR /root/xFasterTransformer
+WORKDIR /home/user/xFasterTransformer
 RUN git checkout ${TAG} \
     && export "LD_LIBRARY_PATH=/usr/local/mklml_lnx_2019.0.5.20190502/lib:$LD_LIBRARY_PATH" \
     && export "PATH=/usr/bin/python3.8:$PATH" \
@@ -75,23 +75,23 @@ RUN git checkout ${TAG} \
     && pip install --no-cache-dir dist/*
 
 RUN mkdir -p /usr/local/xft/lib \
-    && cp /root/xFasterTransformer/build/libxfastertransformer.so /usr/local/xft/lib \
-    && cp /root/xFasterTransformer/build/libxft_comm_helper.so /usr/local/xft/lib \
-    && cp -r /root/xFasterTransformer/include /usr/local/xft/ \
+    && cp /home/user/xFasterTransformer/build/libxfastertransformer.so /usr/local/xft/lib \
+    && cp /home/user/xFasterTransformer/build/libxft_comm_helper.so /usr/local/xft/lib \
+    && cp -r /home/user/xFasterTransformer/include /usr/local/xft/ \
     && mkdir -p  /usr/local/include/xft/ \
     && ln -s /usr/local/xft/include /usr/local/include/xft/include
 
 RUN echo "export \$(python -c 'import xfastertransformer as xft; print(xft.get_env())')" >> ~/.bashrc
 
-COPY comps /root/comps
+COPY comps /home/user/comps
 
 RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r /root/comps/llms/text-generation/vllm-xft/requirements.txt
+    pip install --no-cache-dir -r /home/user/comps/llms/text-generation/vllm-xft/requirements.txt
 
 ENV PYTHONPATH=$PYTHONPATH:/root
 
-RUN chmod +x /root/comps/llms/text-generation/vllm-xft/run.sh
+RUN chmod +x /home/user/comps/llms/text-generation/vllm-xft/run.sh
 
-WORKDIR /root/comps/llms/text-generation/vllm-xft/
+WORKDIR /home/user/comps/llms/text-generation/vllm-xft/
 
-ENTRYPOINT ["/root/comps/llms/text-generation/vllm-xft/run.sh"]
+ENTRYPOINT ["/home/user/comps/llms/text-generation/vllm-xft/run.sh"]

comps/retrievers/langchain/milvus/config.py

@@ -16,4 +16,4 @@
 MOSEC_EMBEDDING_ENDPOINT = os.environ.get("MOSEC_EMBEDDING_ENDPOINT", "")
 os.environ["OPENAI_API_BASE"] = MOSEC_EMBEDDING_ENDPOINT
 os.environ["OPENAI_API_KEY"] = "Dummy key"
-MODEL_ID = "/root/bce-embedding-base_v1"
+MODEL_ID = "/home/user/bce-embedding-base_v1"