InceptionRestDockerfile

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# The ASF licenses this file to You under the Apache License, Version 2.0
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#     http://www.apache.org/licenses/LICENSE-2.0
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FROM uscdatascience/tf-tika-base
MAINTAINER Apache Tika Team

# Download the pretrained inception v4 checkpoint & other meta files
WORKDIR /usr/share/apache-tika/models/dl/image-video/recognition/

RUN curl -O http://download.tensorflow.org/models/inception_v4_2016_09_09.tar.gz && \
    tar -xzvf inception_v4_2016_09_09.tar.gz && rm -rf inception_v4_2016_09_09.tar.gz && \
    curl -O https://raw.githubusercontent.com/tensorflow/models/master/research/inception/inception/data/imagenet_lsvrc_2015_synsets.txt && \
    curl -O https://raw.githubusercontent.com/tensorflow/models/master/research/inception/inception/data/imagenet_metadata.txt

# Download server related source files
WORKDIR /usr/share/apache-tika/src/dl/image-video/recognition/

RUN curl -O https://raw.githubusercontent.com/apache/tika/master/tika-parsers/src/main/resources/org/apache/tika/parser/recognition/tf/inceptionapi.py && \
    curl -O https://raw.githubusercontent.com/apache/tika/master/tika-parsers/src/main/resources/org/apache/tika/parser/recognition/tf/inception_v4.py && \
    chmod +x inceptionapi.py

WORKDIR /

# Remove unnecessary packages comes with base
RUN apt-get -y remove \
        apt-utils \
        curl \
        git \
        software-properties-common \
        unzip \
        wget

# Add symbolic link to inceptionapi.py
RUN ln -s /usr/share/apache-tika/src/dl/image-video/recognition/inceptionapi.py /usr/bin/inceptionapi

# Expose API port, this is the default port
EXPOSE 8764

CMD inceptionapi