test dockerized version

Dockerfile

@@ -0,0 +1,49 @@
+FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN apt-get update && apt-get install -y \
+    git make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev \
+    libsqlite3-dev wget curl llvm libncursesw5-dev xz-utils tk-dev libxml2-dev \
+    libxmlsec1-dev libffi-dev liblzma-dev git-lfs ffmpeg libsm6 libxext6 cmake \
+    libgl1-mesa-glx \
+    && rm -rf /var/lib/apt/lists/* && git lfs install
+
+RUN useradd -m -u 1000 user
+
+USER user
+
+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 \
+    GRADIO_SHARE=False \
+	SYSTEM=spaces
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Install specific versions of PyTorch and TorchVision
+RUN pip install torch==2.0.1+cu117 torchvision==0.15.2+cu117 -f https://download.pytorch.org/whl/torch_stable.html
+
+# Install dependencies
+RUN pip install --no-cache-dir gradio==3.50.2 opencv-python supervision
+
+# Install SAM and Detectron2
+RUN pip install 'git+https://github.com/facebookresearch/segment-anything.git'
+RUN pip install 'git+https://github.com/facebookresearch/detectron2.git'
+
+COPY app.py .
+
+RUN find $HOME/app
+
+# Set the environment variable to specify the GPU device
+ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
+ENV CUDA_VISIBLE_DEVICES=0
+
+# Run your app.py script
+CMD ["python", "app.py"]

README.md

@@ -3,9 +3,7 @@ title: SoM
 emoji: 👁
 colorFrom: pink
 colorTo: yellow
-sdk: gradio
-sdk_version: 3.50.2
-app_file: app.py
+sdk: docker
 pinned: false
 license: mit
 ---

requirements.txt

@@ -1,8 +0,0 @@
---extra-index-url https://download.pytorch.org/whl/cu118
-torch
-torchvision
-
-supervision
-gradio==3.50.2
-git+https://github.com/facebookresearch/segment-anything.git
-git+https://github.com/facebookresearch/detectron2.git