return to normal config without cuda

Dockerfile

@@ -1,13 +1,10 @@
 # For more information, please refer to https://aka.ms/vscode-docker-python
-#FROM python:3.10-slim
-FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
+FROM python:3.10-slim
 
-#nvidia/cuda:12.6.3-cudnn-devel-ubuntu24.04
-
-#ENV DEBIAN_FRONTEND=noninteractive
+#FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
 
 # Install Python and pip
-RUN apt-get update && apt-get install -y python3-pip python3-venv
+#RUN apt-get update && apt-get install -y python3-pip python3-venv
 
 # Where we'll copy the code
 WORKDIR /code
@@ -16,12 +13,15 @@ WORKDIR /code
 COPY ./requirements.txt /code/requirements.txt
 
 # Install pip requirements without venv
-#RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
 
 # Create a virtual environment and install pip requirements
-RUN python3 -m venv /code/venv
-RUN /code/venv/bin/pip install --no-cache-dir --upgrade pip
-RUN /code/venv/bin/pip install --no-cache-dir --upgrade -r /code/requirements.txt
+# RUN python3 -m venv /code/venv
+# RUN /code/venv/bin/pip install --no-cache-dir --upgrade pip
+# RUN /code/venv/bin/pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Set the PATH to include the virtual environment's bin directory
+# ENV PATH="/code/venv/bin:$PATH"
 
 # Creates a non-root user with an explicit UID
 # For more info, please refer to https://aka.ms/vscode-docker-python-configure-containers

requirements.txt

@@ -1,9 +1,8 @@
---extra-index-url https://download.pytorch.org/whl/cu118
+#--extra-index-url https://download.pytorch.org/whl/cu118
+#torch==2.0.1+cu118
+torch
 transformers
-torch==2.0.1+cu118
 gradio
-#spaces
 huggingface_hub
 optimum
-#for running auto-gptq
 auto-gptq