update Dockerfile

Dockerfile

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+# 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 $APP_HOME
+# COPY . ./
+
+RUN apt update && apt install -y \
+    libgl1-mesa-glx \
+    libglib2.0-dev \
+    git
+
+# Install production dependencies.
+RUN pip install --upgrade pip
+
+RUN git clone https://github.com/LiteraturePro/MODNet.git
+
+RUN cp -r MODNet/* ./
+
+RUN pip install -r requirements.txt
+
+# CPU
+#RUN pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
+RUN pip install torch==1.13.0+cpu torchvision==0.14.0+cpu torchaudio==0.13.0 --extra-index-url https://download.pytorch.org/whl/cpu
+
+# Run the web service on container startup. Here we use the gunicorn
+# webserver, with one worker process and 8 threads.
+# For environments with multiple CPU cores, increase the number of workers
+# to be equal to the cores available.
+CMD exec gunicorn --bind 0.0.0.0:7860 --workers 1 --threads 8 --timeout 0 app:app
+
+# CMD exec gunicorn --bind 0.0.0.0:$PORT --workers 1 --threads 8 --timeout 0 app:app