FIX dockerfile

Dockerfile

@@ -1,5 +1,6 @@
 FROM nvidia/cuda:12.5.1-cudnn-runtime-ubuntu22.04
 ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONUNBUFFERED=1
 ENV MPLCONFIGDIR=/tmp/matplotlib
 RUN apt-get update && apt-get install -y \
     python3.11 \
@@ -24,6 +25,8 @@ RUN pip3 install -e .
 # RUN pip3 install -e ".[demo]"
 WORKDIR /app/segment-anything-2/checkpoints
 RUN ./download_ckpts.sh
-WORKDIR /app/segment-anything-2
-COPY app.py /app/segment-anything-2/app.py
-CMD ["python3", "app.py"]
+WORKDIR /app
+EXPOSE 7860
+ENV GRADIO_SERVER_NAME="0.0.0.0"
+COPY app.py /app/app.py
+CMD ["python3", "-u", "app.py"]

app.py

@@ -1,23 +1,14 @@
 # import subprocess
 # import re
 # from typing import List, Tuple, Optional
-
-# # Define the command to be executed
 # command = ["python", "setup.py", "build_ext", "--inplace"]
-
-# # Execute the command
 # result = subprocess.run(command, capture_output=True, text=True)
-
-# # Print the output and error (if any)
 # print("Output:\n", result.stdout)
 # print("Errors:\n", result.stderr)
-
-# # Check if the command was successful
 # if result.returncode == 0:
 #     print("Command executed successfully.")
 # else:
 #     print("Command failed with return code:", result.returncode)
-
 import gc
 import math
 import os
@@ -566,7 +557,7 @@ def seg_track_app():
         )
         
     app.queue(concurrency_count=1)
-    app.launch(debug=True, enable_queue=True, share=True)
+    app.launch(debug=True, enable_queue=True, share=False)
 
 if __name__ == "__main__":
     seg_track_app()