docker changes

Dockerfile

@@ -8,7 +8,7 @@ COPY ./requirements.txt /code/requirements.txt
 #https://download.pytorch.org/whl/torch_stable.ht
 
 #https://stackoverflow.com/questions/55313610/importerror-libgl-so-1-cannot-open-shared-object-file-no-such-file-or-directo
-RUN apt-get update && apt-get install python3.10 python3-pip git ffmpeg libsm6 libxext6  -y
+RUN apt-get update && apt-get install python3.9 python3-pip git ffmpeg libsm6 libxext6  -y
 
 RUN pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
 # --index-url https://download.pytorch.org/whl/cu117
@@ -40,7 +40,14 @@ USER user
 
 # Set home to the user's home directory
 ENV HOME=/home/user \
-    PATH=/home/user/.local/bin:$PATH
+	PATH=/home/user/.local/bin:$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
 
 # Set the working directory to the user's home directory
 WORKDIR $HOME/app

main_noweb.py

@@ -246,22 +246,22 @@ with block:
         submit_pose_file.click(fn=pose2d, 
                             inputs=  [video_input, file_kpthr], 
                             outputs = [video_output1, jsonoutput],
-                            queue=False)
+                            queue=True)
         
         submit_pose3d_file.click(fn=pose3d, 
                                 inputs= video_input, 
                                 outputs = video_output2,
-                                queue=False)
+                                queue=True)
         
         submit_hand_file.click(fn=pose2dhand, 
                             inputs= [video_input, file_kpthr], 
                             outputs = video_output3,
-                            queue=False)
+                            queue=True)
         
         submit_detect_file.click(fn=show_tracking, 
                                 inputs= video_input, 
                                 outputs = video_output4,
-                                queue=False)
+                                queue=True)
         
 if __name__ == "__main__":
     block.queue(
@@ -269,8 +269,9 @@ if __name__ == "__main__":
                 max_size=25, # Maximum number of requests that the queue processes
                 api_open = False # When creating a Gradio demo, you may want to restrict all traffic to happen through the user interface as opposed to the programmatic API that is automatically created for your Gradio demo.  
                     )  # https://www.gradio.app/guides/setting-up-a-demo-for-maximum-performance
-    block.launch(server_name="0.0.0.0", 
-                 share=True,
-                 server_port=7860)
+    block.launch(#server_name="0.0.0.0", 
+                 share=True#,
+                 #server_port=7860
+                 )