Try docker container

Dockerfile

@@ -0,0 +1,42 @@
+FROM nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04
+
+ARG DEBIAN_FRONTEND=noninteractive
+
+ENV PYTHONUNBUFFERED=1
+
+RUN apt-get update && apt-get install --no-install-recommends -y \
+  build-essential \
+  python3.9 \
+  python3-pip \
+  git \
+  ffmpeg \
+  && apt-get clean && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+# Set up a new user named "user" with user ID 1000
+RUN useradd -m -u 1000 user
+# Switch to the "user" user
+USER user
+# Set home to the user's home directory
+ENV HOME=/home/user \
+	PATH=/home/user/.local/bin:$PATH \
+    PYTHONPATH=$HOME/app \
+	PYTHONUNBUFFERED=1 \
+	GRADIO_ALLOW_FLAGGING=never \
+	GRADIO_NUM_PORTS=1 \
+	GRADIO_SERVER_NAME=0.0.0.0 \
+	GRADIO_THEME=huggingface \
+	SYSTEM=spaces
+
+RUN pip3 install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+CMD ["python3", "app.py"]

pre-requirements.txt

@@ -1,3 +0,0 @@
---extra-index-url https://download.pytorch.org/whl/cu113
-torch==1.13.0+cu113
-torchvision==0.14.0+cu113

requirements.txt

@@ -1,3 +1,5 @@
+torch==1.13.0
+torchvision==0.14.0
 tqdm
 hydra-core
 omegaconf