fix dockerfile

Dockerfile

@@ -1,4 +1,56 @@
-FROM node:18-alpine AS base
+# Basic mirror image
+FROM alpine:edge as base
+
+# Maintenanceer information
+LABEL maintainer "a76yyyy <[email protected]>"
+LABEL org.opencontainers.image.source=https://github.com/qiandao-today/ddddocr-docker
+
+# Envirenment for onnxruntime
+ENV ONNXRUNTIME_TAG=v1.13.1
+
+# Replace the alpine image source & Install packages
+RUN sed -i 's/dl-cdn.alpinelinux.org/mirrors.ustc.edu.cn/g' /etc/apk/repositories && \
+    echo 'http://mirrors.ustc.edu.cn/alpine/v3.16/main' >> /etc/apk/repositories && \
+    echo 'http://mirrors.ustc.edu.cn/alpine/v3.16/community' >> /etc/apk/repositories && \
+    apk update && \
+    apk add --update --no-cache bash git tzdata nano openssh-client ca-certificates file python3 py3-pip py3-setuptools py3-wheel && \
+    # ln -s /usr/bin/python3 /usr/bin/python && \
+    [[ $(getconf LONG_BIT) = "32" ]] && \
+    { bashtmp='' && cxxtmp=''; } || { \
+    [[ -z $(file /bin/busybox | grep -i "arm") ]] && \
+    { bashtmp='/onnxruntime/build.sh' && cxxtmp=''; } || \
+    { bashtmp='setarch arm64 /onnxruntime/build.sh' && cxxtmp='-Wno-psabi'; }; } && \
+    echo $bashtmp && echo $cxxtmp && {\
+    [[ -n "$bashtmp" ]] && { \
+    apk add --update --no-cache py3-numpy-dev py3-opencv py3-pillow && {\
+    apk add --update --no-cache --virtual .build_deps cmake make perl autoconf g++=11.2.1_git20220219-r2 libexecinfo-dev=1.1-r1 automake linux-headers libtool util-linux openblas-dev python3-dev protobuf-dev date-dev gtest-dev eigen-dev py3-pybind11-dev flatbuffers-dev=2.0.0-r1 patch boost-dev nlohmann-json || \
+    apk add --update --no-cache --virtual .build_deps cmake make perl autoconf g++=11.2.1_git20220219-r2 libexecinfo-dev=1.1-r1 automake linux-headers libtool util-linux openblas-dev python3-dev protobuf-dev date-dev gtest-dev eigen-dev py3-pybind11-dev patch boost-dev nlohmann-json ;} && \
+    git clone --depth 1 --branch $ONNXRUNTIME_TAG https://github.com/Microsoft/onnxruntime && \
+    cd /onnxruntime && \
+    git submodule update --init --recursive && \
+    cd .. && \
+    $bashtmp --config MinSizeRel  \
+    --parallel \
+    --build_wheel \
+    --enable_pybind \
+    --cmake_extra_defines \
+    CMAKE_CXX_FLAGS="-Wno-deprecated-copy -Wno-unused-variable -Wno-unused-parameter $cxxtmp"\
+    onnxruntime_BUILD_UNIT_TESTS=OFF \
+    onnxruntime_BUILD_SHARED_LIB=OFF \
+    onnxruntime_USE_PREINSTALLED_EIGEN=ON \
+    onnxruntime_PREFER_SYSTEM_LIB=ON \
+    eigen_SOURCE_PATH=/usr/include/eigen3 \
+    --skip_tests && \
+    apk add --update --no-cache libprotobuf-lite && \
+    pip install --no-cache-dir /onnxruntime/build/Linux/MinSizeRel/dist/onnxruntime*.whl && \
+    ln -s $(python -c 'import warnings;warnings.filterwarnings("ignore");\
+    from distutils.sysconfig import get_python_lib;print(get_python_lib())')/onnxruntime/capi/libonnxruntime_providers_shared.so /usr/lib && \
+    cd / && rm -rf /onnxruntime && \
+    apk del .build_deps ;} || { \
+    apk add --update --no-cache libprotobuf-lite && \
+    echo "Onnxruntime Builder does not currently support building i386 and arm32 wheels";} ;} && \
+    rm -rf /var/cache/apk/* && \
+    rm -rf /usr/share/man/* 
 
 # Install dependencies only when needed
 FROM base AS deps

src/components/ChatWindow.jsx

@@ -12,7 +12,7 @@ function ChatWindow({
   stopStrings,
   maxTokens,
 }) {
-  const { loadingStatus, send, isGenerating, setOnMessage } = useLLM();
+  const { loadingStatus, send, isGenerating } = useLLM();
   const [fileText, setFileText] = useState();
   const [userInput, setUserInput] = useState("");  
 
@@ -31,7 +31,6 @@ function ChatWindow({
       console.log('found file text splitting into chunks')
       const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 1000 });
       const docs = await textSplitter.createDocuments([fileText]);
-      let queryResult;
       let qaPrompt;
       console.log(docs);
       try {
@@ -40,7 +39,8 @@ function ChatWindow({
           [...docs.map((v, k) => k)],
           new XenovaTransformersEmbeddings()
         )
-        let queryResult = await vectorStore.similaritySearch(userInput, 1);
+        console.log(vectorStore);
+        const queryResult = await vectorStore.similaritySearch(userInput, 1);
         console.log("queryResult", queryResult);
         qaPrompt = 
       `You are an AI assistant providing helpful advice. You are given the following extracted parts of a long document and a question. Provide a conversational answer based on the context provided.