Fix dependency-related issues via requirements update (#2236)

* Update requirements.txt

* Create constraints.txt

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* pyopenjtalk and onnx fix

* Update requirements.txt

* Update requirements.txt

* Update install.sh

* update shell install.sh

* update docs

* Update Install.sh

* fix bugs

* Update .gitignore

* Update .gitignore

* Update install.sh

* Update install.sh

* Update extra-req.txt

* Update requirements.txt

install.sh

@@ -1,15 +1,17 @@
 #!/bin/bash
 
+set -e
+
 # 安装构建工具
 # Install build tools
 echo "Installing GCC..."
-conda install -c conda-forge gcc=14
+conda install -c conda-forge gcc=14 -y
 
 echo "Installing G++..."
-conda install -c conda-forge gxx
+conda install -c conda-forge gxx -y
 
 echo "Installing ffmpeg and cmake..."
-conda install ffmpeg cmake
+conda install ffmpeg cmake -y
 
 # 设置编译环境
 # Set up build environment
@@ -18,7 +20,7 @@ export CC="$CONDA_PREFIX/bin/gcc"
 export CXX="$CONDA_PREFIX/bin/g++"
 
 echo "Checking for CUDA installation..."
-if command -v nvidia-smi &> /dev/null; then
+if command -v nvidia-smi &>/dev/null; then
     USE_CUDA=true
     echo "CUDA found."
 else
@@ -26,7 +28,6 @@ else
     USE_CUDA=false
 fi
 
-
 if [ "$USE_CUDA" = false ]; then
     echo "Checking for ROCm installation..."
     if [ -d "/opt/rocm" ]; then
@@ -48,7 +49,7 @@ fi
 if [ "$USE_CUDA" = true ]; then
     echo "Installing PyTorch with CUDA support..."
     conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 pytorch-cuda=11.8 -c pytorch -c nvidia
-elif [ "$USE_ROCM" = true ] ; then
+elif [ "$USE_ROCM" = true ]; then
     echo "Installing PyTorch with ROCm support..."
     pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/rocm6.2
 else
@@ -56,21 +57,53 @@ else
     conda install pytorch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 cpuonly -c pytorch
 fi
 
-
 echo "Installing Python dependencies from requirements.txt..."
 
 # 刷新环境
 # Refresh environment
 hash -r
+
+# pyopenjtalk Installation
+conda install jq -y
+
+OS_TYPE=$(uname)
+
+PACKAGE_NAME="pyopenjtalk"
+
+VERSION=$(curl -s https://pypi.org/pypi/$PACKAGE_NAME/json | jq -r .info.version)
+
+wget "https://files.pythonhosted.org/packages/source/${PACKAGE_NAME:0:1}/$PACKAGE_NAME/$PACKAGE_NAME-$VERSION.tar.gz"
+
+TAR_FILE=$(ls ${PACKAGE_NAME}-*.tar.gz)
+DIR_NAME="${TAR_FILE%.tar.gz}"
+
+tar -xzf "$TAR_FILE"
+rm "$TAR_FILE"
+
+CMAKE_FILE="$DIR_NAME/lib/open_jtalk/src/CMakeLists.txt"
+
+if [[ "$OS_TYPE" == "darwin"* ]]; then
+    sed -i '' -E 's/cmake_minimum_required\(VERSION[^\)]*\)/cmake_minimum_required(VERSION 3.5...3.31)/' "$CMAKE_FILE"
+else
+    sed -i -E 's/cmake_minimum_required\(VERSION[^\)]*\)/cmake_minimum_required(VERSION 3.5...3.31)/' "$CMAKE_FILE"
+fi
+
+tar -czf "$TAR_FILE" "$DIR_NAME"
+
+pip install "$TAR_FILE"
+
+rm -rf "$TAR_FILE" "$DIR_NAME"
+
+pip install -r extra-req.txt --no-deps
+
 pip install -r requirements.txt
 
-if [ "$USE_ROCM" = true ] && [ "$IS_WSL" = true ] ; then
+if [ "$USE_ROCM" = true ] && [ "$IS_WSL" = true ]; then
     echo "Update to WSL compatible runtime lib..."
-    location=`pip show torch | grep Location | awk -F ": " '{print $2}'`
-    cd ${location}/torch/lib/
+    location=$(pip show torch | grep Location | awk -F ": " '{print $2}')
+    cd "${location}"/torch/lib/ || exit
     rm libhsa-runtime64.so*
     cp /opt/rocm/lib/libhsa-runtime64.so.1.2 libhsa-runtime64.so
 fi
 
 echo "Installation completed successfully!"
-