docker and app

app.py

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+import mmpose
+print(mmpose.__version__)
+from mmpose.apis import MMPoseInferencer
+inferencer = MMPoseInferencer(
+    pose3d='human')
+
+# conda create -n mmpose python=3.8 -y
+# conda activate mmpose
+# pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 -f https://download.pytorch.org/whl/torch_stable.html
+# pip install mmengine
+
+# git clone https://github.com/open-mmlab/playground.git
+# cd playground
+
+# pip install -U openmim
+# mim install "mmcv>=2.0.0"
+
+# git clone https://github.com/open-mmlab/mmpose.git
+# cd mmpose; pip install -e .; cd ..
+
+import gradio as gr
+
+def greet(photo):
+    
+    result_generator = inferencer(photo)
+    vis, pred = next(result_generator)
+    return vis
+
+demo = gr.Interface(fn=greet, inputs=gr.Image(source="webcam"), outputs=gr.Image())
+    
+demo.launch()