update Dockerfile

Dockerfile

@@ -1,36 +1,22 @@
-# Use the official lightweight Python image.
-# https://hub.docker.com/_/python
 FROM python:3.10-slim
 
 # Copy local code to the container image.
 ENV APP_HOME /app
 WORKDIR $APP_HOME
-# COPY . ./
 
 RUN apt update && apt install -y \
     libgl1-mesa-glx \
     libglib2.0-dev \
     git
 
-# Install production dependencies.
-RUN pip install --upgrade pip
+RUN git clone https://github.com/LiteraturePro/MODNet.git && cp -r MODNet/* ./
 
-RUN git clone https://github.com/LiteraturePro/MODNet.git
-
-RUN cp -r MODNet/* ./
-
-RUN pip install -r requirements.txt
+RUN pip install --upgrade pip && pip install -r requirements.txt
 
 # CPU
-#RUN pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
 RUN pip install torch==1.13.0+cpu torchvision==0.14.0+cpu torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cpu
 
-# Run the web service on container startup. Here we use the gunicorn
-# webserver, with one worker process and 8 threads.
-# For environments with multiple CPU cores, increase the number of workers
-# to be equal to the cores available.
-# CMD exec gunicorn --bind 0.0.0.0:7860 --workers 1 --threads 8 --timeout 0 app:app
 
+# CMD exec gunicorn --bind 0.0.0.0:7860 --workers 1 --threads 8 --timeout 0 app:app
 # CMD exec gunicorn --bind 0.0.0.0:$PORT --workers 1 --threads 8 --timeout 0 app:app
-
 CMD ["bash", "run.sh"]