Downgraded package versions to hopefully work with Hugging Face spaces Zero GPU

app.py

@@ -1,3 +1,4 @@
+import spaces
 import os
 import gradio as gr
 import pandas as pd

requirements.txt

@@ -1,6 +1,7 @@
 pandas==2.2.3
 gradio==5.34.2
-spaces==0.37.0
+transformers==4.51.1
+spaces==0.31.0 #0.37.0
 boto3==1.38.38
 pyarrow==19.0.1
 openpyxl==3.1.3
@@ -12,9 +13,9 @@ google-genai==1.21.1
 html5lib==1.1
 beautifulsoup4==4.12.3
 rapidfuzz==3.10.1
-torch==2.5.1 --extra-index-url https://download.pytorch.org/whl/cu124
+torch==2.4.1 --extra-index-url https://download.pytorch.org/whl/cu121
 # CPU only: torch==2.7.1 --extra-index-url https://download.pytorch.org/whl/cpu
-https://github.com/abetlen/llama-cpp-python/releases/download/v0.3.4-cu124/llama_cpp_python-0.3.4-cp310-cp310-linux_x86_64.whl # Specify exact llama_cpp wheel for huggingface compatibility. Will not work with Gemma 3, only Gemma 2
+https://github.com/abetlen/llama-cpp-python/releases/download/v0.3.4-cu121/llama_cpp_python-0.3.4-cp310-cp310-linux_x86_64.whl # Specify exact llama_cpp wheel for huggingface compatibility. Will not work with Gemma 3, only Gemma 2
 # llama-cpp-python==0.3.9 - will work on Hugging Face spaces, but will not work for Zero GPU or GPU spaces, only CPU. Can then use Gemma 3.
 # llama-cpp-python==0.3.9 -C cmake.args="-DGGML_CUDA=on" # CUDA version. Will not work on Hugging Face spaces as NVCC is not installed in their spaces
 #llama-cpp-python==0.3.9 -C cmake.args="-DGGML_BLAS=ON;-DGGML_BLAS_VENDOR=OpenBLAS"# Linux compatibility - for recent models like Gemma 3 (Not Hugging Face)
@@ -22,7 +23,7 @@ https://github.com/abetlen/llama-cpp-python/releases/download/v0.3.4-cu124/llama
 # llama-cpp-python==0.3.9 -C cmake.args="-DGGML_BLAS=ON;-DGGML_BLAS_VENDOR=OpenBLAS;-DBLAS_INCLUDE_DIRS=C:/<root-path-to-openblas>/OpenBLAS/include;-DBLAS_LIBRARIES=C:/<root-path-to-openblas>/OpenBLAS/lib/libopenblas.lib
 #https://github.com/abetlen/llama-cpp-python/releases/download/v0.3.2/llama_cpp_python-0.3.2-cp311-cp311-win_amd64.whl # Use this for Windows if abov doesn't work, enough for Gemma 2b
 #llama-cpp-python==0.3.2 --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu # Use this for guaranteed Linux compatibility - enough for Gemma 2b only
-transformers==4.51.1
+
 python-dotenv==1.1.0
-#numpy==1.26.4
+numpy==1.26.4
 typing_extensions==4.12.2

tools/llm_funcs.py

@@ -30,6 +30,8 @@ print("Is a CUDA device available on this computer?", torch.backends.cudnn.enabl
 if torch.cuda.is_available():
     torch_device = "cuda"
     gpu_layers = int(LLM_MAX_GPU_LAYERS)
+    print("CUDA version:", torch.version.cuda)
+    print("CUDA runtime version:", torch.cuda.runtime.version())
     try:
         os.system("nvidia-smi")
     except Exception as e: