Updated package requirements

requirements.txt

@@ -1,24 +1,24 @@
-pandas==2.3.0
-gradio==5.36.2
-transformers==4.53.2
-spaces==0.37.0
-boto3==1.39.4
-pyarrow==20.0.0
+pandas==2.3.1
+gradio==5.42.0
+transformers==4.55.2
+spaces==0.40.0
+boto3==1.40.11
+pyarrow==21.0.0
 openpyxl==3.1.5
 markdown==3.7
 tabulate==0.9.0
 lxml==5.3.0
-google-genai==1.21.1
+google-genai==1.30.0
 html5lib==1.1
 beautifulsoup4==4.12.3
 rapidfuzz==3.13.0
 python-dotenv==1.1.0
 # Torch and Llama CPP Python
 # GPU
-# torch==2.6.0 --extra-index-url https://download.pytorch.org/whl/cu124
-# https://github.com/abetlen/llama-cpp-python/releases/download/v0.3.12-cu124/llama_cpp_python-0.3.12-cp310-cp310-linux_x86_64.whl # Specify exact llama_cpp for cuda compatibility on Hugging Face
+# torch==2.6.0 --extra-index-url https://download.pytorch.org/whl/cu124 # Latest compatible with CUDA 12.4
+# https://github.com/abetlen/llama-cpp-python/releases/download/v0.3.16-cu124/llama_cpp_python-0.3.16-cp310-cp310-linux_x86_64.whl # Specify exact llama_cpp for cuda compatibility on Hugging Face
 #
 # CPU only: 
-torch==2.7.1 --extra-index-url https://download.pytorch.org/whl/cpu
-llama-cpp-python==0.3.12 - will work on Hugging Face spaces, but only CPU
+torch==2.6.0 --extra-index-url https://download.pytorch.org/whl/cpu
+llama-cpp-python==0.3.16 # will work on Hugging Face spaces, but only CPU
 

requirements_aws.txt

@@ -1,16 +1,17 @@
-pandas==2.3.0
-gradio==5.36.2
-transformers==4.53.2
-spaces==0.37.0
-boto3==1.39.4
-pyarrow==20.0.0
+pandas==2.3.1
+gradio==5.42.0
+transformers==4.55.2
+spaces==0.40.0
+boto3==1.40.11
+pyarrow==21.0.0
 openpyxl==3.1.5
 markdown==3.7
 tabulate==0.9.0
 lxml==5.3.0
-google-genai==1.21.1
+google-genai==1.30.0
 html5lib==1.1
 beautifulsoup4==4.12.3
 rapidfuzz==3.13.0
 python-dotenv==1.1.0
-llama-cpp-python==0.3.12
+torch==2.6.0 --extra-index-url https://download.pytorch.org/whl/cu124 # Latest compatible with CUDA 12.4
+llama-cpp-python==0.3.16

requirements_cpu_win.txt

@@ -1,18 +1,18 @@
-pandas==2.3.0
-gradio==5.36.2
-transformers==4.53.2
-spaces==0.37.0
-boto3==1.39.4
-pyarrow==20.0.0
+pandas==2.3.1
+gradio==5.42.0
+transformers==4.55.2
+spaces==0.40.0
+boto3==1.40.11
+pyarrow==21.0.0
 openpyxl==3.1.5
 markdown==3.7
 tabulate==0.9.0
 lxml==5.3.0
-google-genai==1.21.1
+google-genai==1.30.0
 html5lib==1.1
 beautifulsoup4==4.12.3
 rapidfuzz==3.13.0
 python-dotenv==1.1.0
-# Following will only work with Gemma 2
-torch==2.7.1 --extra-index-url https://download.pytorch.org/whl/cpu
+# Following llama-cpp-python installation is that latest that has a wheel for Windows. will only work with Gemma 2
+torch==2.6.0 --extra-index-url https://download.pytorch.org/whl/cpu # Latest compatible with CUDA 12.4
 https://github.com/abetlen/llama-cpp-python/releases/download/v0.3.2/llama_cpp_python-0.3.2-cp311-cp311-win_amd64.whl

requirements_gpu.txt

@@ -1,23 +1,24 @@
-pandas==2.3.0
-gradio==5.36.2
-transformers==4.53.2
-spaces==0.37.0
-boto3==1.39.4
-pyarrow==20.0.0
+pandas==2.3.1
+gradio==5.42.0
+transformers==4.55.2
+spaces==0.40.0
+boto3==1.40.11
+pyarrow==21.0.0
 openpyxl==3.1.5
 markdown==3.7
 tabulate==0.9.0
 lxml==5.3.0
-google-genai==1.21.1
+google-genai==1.30.0
 html5lib==1.1
 beautifulsoup4==4.12.3
 rapidfuzz==3.13.0
 python-dotenv==1.1.0
 #
 # Torch and Llama CPP Python
-torch==2.6.0 --extra-index-url https://download.pytorch.org/whl/cu124
+torch==2.6.0 --extra-index-url https://download.pytorch.org/whl/cu124 # Latest compatible with CUDA 12.4
 # For Linux:
-https://github.com/abetlen/llama-cpp-python/releases/download/v0.3.12-cu124/llama_cpp_python-0.3.12-cp311-cp311-linux_x86_64.whl
-# For Windows, or if above doesn't work. See 'windows_install_llama-cpp-python.txt' if you have trouble
-# llama-cpp-python==0.3.12 -C cmake.args="-DGGML_CUDA=on"
+#https://github.com/abetlen/llama-cpp-python/releases/download/v0.3.16-cu124/llama_cpp_python-0.3.16-cp311-cp311-linux_x86_64.whl
+# For Windows:
+llama-cpp-python==0.3.16 -C cmake.args="-DGGML_CUDA=on"
+# If above doesn't work for Windows, try looking at'windows_install_llama-cpp-python.txt' i
 

windows_install_llama-cpp-python.txt

@@ -3,12 +3,12 @@
 set PKG_CONFIG_PATH=C:\<path-to-openblas>\OpenBLAS\lib\pkgconfig # Set this in environment variables
 
 
-pip install llama-cpp-python==0.3.12 --force-reinstall --verbose --no-cache-dir -Ccmake.args="-DGGML_BLAS=ON;-DGGML_BLAS_VENDOR=OpenBLAS;-DBLAS_INCLUDE_DIRS=C:/<path-to-openblas>/OpenBLAS/include;-DBLAS_LIBRARIES=C:/<path-to-openblas>/OpenBLAS/lib/libopenblas.lib"
+pip install llama-cpp-python==0.3.16 --force-reinstall --verbose --no-cache-dir -Ccmake.args="-DGGML_BLAS=ON;-DGGML_BLAS_VENDOR=OpenBLAS;-DBLAS_INCLUDE_DIRS=C:/<path-to-openblas>/OpenBLAS/include;-DBLAS_LIBRARIES=C:/<path-to-openblas>/OpenBLAS/lib/libopenblas.lib"
 ---
 
 # With CUDA
 
-pip install llama-cpp-python==0.3.12 --force-reinstall --no-cache-dir --verbose -C cmake.args="-DGGML_CUDA=on"
+pip install llama-cpp-python==0.3.16 --force-reinstall --no-cache-dir --verbose -C cmake.args="-DGGML_CUDA=on"
 
 
 ---
@@ -99,11 +99,11 @@ Open the "Developer Command Prompt for VS" from your Start Menu. This is importa
 set PKG_CONFIG_PATH=C:\<path-to-openblas>\OpenBLAS\lib\pkgconfig # Set this in environment variables
 
 
-pip install llama-cpp-python==0.3.9 --force-reinstall --verbose --no-cache-dir -Ccmake.args="-DGGML_BLAS=ON;-DGGML_BLAS_VENDOR=OpenBLAS;-DBLAS_INCLUDE_DIRS=C:/<path-to-openblas>/OpenBLAS/include;-DBLAS_LIBRARIES=C:/<path-to-openblas>/OpenBLAS/lib/libopenblas.lib"
+pip install llama-cpp-python==0.3.16 --force-reinstall --verbose --no-cache-dir -Ccmake.args="-DGGML_BLAS=ON;-DGGML_BLAS_VENDOR=OpenBLAS;-DBLAS_INCLUDE_DIRS=C:/<path-to-openblas>/OpenBLAS/include;-DBLAS_LIBRARIES=C:/<path-to-openblas>/OpenBLAS/lib/libopenblas.lib"
 
 ## With Cuda
 
-### Make sure you are using the x64 version of Developer command tools ###
+### Make sure you are using the x64 version of Developer command tools, e.g. 'x64 Native Tools Command Prompt for VS 2022' ###
 
 Use NVIDIA GPU (cuBLAS): If you have an NVIDIA GPU, using cuBLAS is often easier because the CUDA Toolkit installer handles most of the setup.
 
@@ -114,6 +114,6 @@ Run the install command specifying cuBLAS:
 
 set PKG_CONFIG_PATH=C:\<path-to-openblas>\OpenBLAS\lib\pkgconfig # Set this in environment variables
 
-pip install llama-cpp-python==0.3.12 --force-reinstall --no-cache-dir --verbose -C cmake.args="-DGGML_CUDA=on"
+pip install llama-cpp-python==0.3.16 --force-reinstall --no-cache-dir --verbose -C cmake.args="-DGGML_CUDA=on"