update

table_transformer_detection/Dockerfile

@@ -2,6 +2,11 @@
 
 FROM public.ecr.aws/iflytek-open/cuda-go-python-base:11.6-1.17-3.9.13-ubuntu1804
 
+RUN sed -i 's@//.*archive.ubuntu.com@//mirrors.ustc.edu.cn@g' /etc/apt/sources.list
+RUN sed -i 's/security.ubuntu.com/mirrors.ustc.edu.cn/g' /etc/apt/sources.list
+
+RUN --mount=target=/root/packages.txt,source=packages.txt  apt-get update && xargs -r -a /root/packages.txt apt-get install -y && rm -rf /var/lib/apt/lists/*
+
 WORKDIR /home/user/app
 RUN useradd -m -u 1000 user
 RUN chown  -R 1000.1000 /home/user
@@ -13,8 +18,11 @@ RUN pip config set global.index-url https://pypi.mirrors.ustc.edu.cn/simple/
 RUN pip install --no-cache-dir pip==22.3.1
 RUN --mount=target=requirements.txt,source=requirements.txt 	pip install --no-cache-dir -r requirements.txt
 
-
 COPY --chown=1000 ./ /home/user/app
 
+RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash
+RUN apt-get install git-lfs
+RUN git lfs install
+RUN git clone http://172.16.59.16:3000/microsoft/table-transformer-detection.git
 
 CMD ["python3", "app.py"]

table_transformer_detection/app.py

@@ -37,7 +37,7 @@ with gr.Blocks() as demo:
     gr.Markdown(
     """
     # object detection:table-transformer-detection
-    Gradio Demo for table-transformer-detection. To use it, simply upload your image, or click one of the examples to load them.
+    这是table-transformer-detection的Gradio Demo，用于目标检测。上传你想要的图像或者点击下面的示例来加载它.
     """)
     with gr.Row():
         image_input = gr.Image(type="pil")
@@ -46,4 +46,4 @@ with gr.Blocks() as demo:
     image_button.click(inference, inputs=image_input, outputs=image_output)
     gr.Examples(examples,inputs=image_input)
 
-demo.launch()
+demo.launch(server_name="0.0.0.0")

table_transformer_detection/packages.txt

@@ -0,0 +1,2 @@
+git
+curl

table_transformer_detection/table-transformer-detection

@@ -1 +0,0 @@
-Subproject commit ab363aa6ce9eba6b79b6547bfb219bdcb2de80f8