Error hosting endpoint knn-dense-5-1: Failed. Reason: The primary container for production variant AllTraffic did not pass the ping health check. Please check CloudWatch logs for this endpoint..

I build a dockerfile for knn and pushed it to ECR. I am trying to create a Sagemaker endpoint. There is an error while I try to create the endpoint. It says "**UnexpectedStatusException: Error hosting endpoint knn-dense-5-1: Failed. Reason: The primary container for production variant AllTraffic did not pass the ping health check. Please check CloudWatch logs for this endpoint..**".

When I checked Cloudwatch, I saw the message
"*** Serving Flask app "serve" (lazy loading)
* Environment: production
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
* Debug mode: off
* Running on http://0.0.0.0:8080/ (Press CTRL+C to quit)**"

The docker file code is as follows:
#!/bin/sh
FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04

ARG PYTHON_VERSION=3.6
RUN apt-get update && \
apt-get -y install --no-install-recommends \
build-essential \
cmake \
vim \
ca-certificates \
python3-dev \
curl \
wget \
jq \
git \
nginx \
libjpeg-dev \
libpng-dev
RUN rm -rf /var/lib/apt/lists/*
#RUN curl -o https://bootstrap.pypa.io/get-pip.py

RUN curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
chmod +x ~/miniconda.sh && \
~/miniconda.sh -b -p /opt/conda && \
rm ~/miniconda.sh && \
/opt/conda/bin/conda install -y python=$PYTHON_VERSION && \
/opt/conda/bin/conda clean -ya


ENV PATH /opt/conda/bin:$PATH

RUN pip install --no-cache-dir flask==1.0.2
RUN pip install --no-cache-dir requests
RUN pip install --no-cache-dir numpy==1.14.6
RUN pip install --no-cache-dir Jinja2==2.10
RUN pip install --no-cache-dir Werkzeug
RUN pip install --no-cache-dir boto3
RUN pip install --no-cache-dir scipy==1.1.0

RUN pip install --no-cache-dir git+https://github.com/nmslib/hnswlib#subdirectory=python_bindings

RUN pip install scipy==1.2.1 scikit-learn==0.20.2 pandas==0.24.2 flask gevent gunicorn

RUN pip freeze

RUN python3 -V

COPY knn/serve /usr/local/bin
COPY knn/train /usr/local/bin

EXPOSE 8080

Please help me resolve the error

Start with the provided Dockerfile and the copied knn/serve and knn/train entry points, then review the SageMaker endpoint's CloudWatch logs beyond the Flask startup message. Verify the container's health-check behavior and deployment configuration; done means the production variant passes the SageMaker ping health check and the endpoint reaches InService.

Written by the indexing model from the issue text.