joeyism

from allennlp.models.archival import load_archive
from allennlp.predictors.predictor import Predictor

SERIALIZATION_DIR = './model'

archive = load_archive(SERIALIZATION_DIR)
archive.model.share_memory() # <- puts the model into shared memory
predictor = Predictor.from_archive(archive, 'model')

joeyism

from allennlp.models.archival import load_archive
from allennlp.predictors.predictor import Predictor

SERIALIZATION_DIR = './model'

archive = load_archive(SERIALIZATION_DIR)
predictor = Predictor.from_archive(archive, 'model')

joeyism

FROM python:3.6

# Update Ubuntu instance
RUN apt-get update

# Make `/app` directory, copy all local files into that, and set it as working directory
RUN mkdir -p /app
COPY . /app
WORKDIR /app

joeyism

from flask import Flask

app = Flask(__name__)

@app.route('/hello')
def helloIndex():
    return 'Hello World from Python Flask!'

app.run(host='0.0.0.0', port=8080)

joeyism

flask

joeyism

FROM ubuntu:18.04

# Update Ubuntu instance
RUN apt-get update

# Sets the environment variable ENV to `development`
ENV ENV=development

# echos $ENV
RUN echo $ENV

joeyism

FROM ubuntu:18.04

joeyism

import tensorflow as tf
import tensorflow_hub as hub 

import numpy as np
from skimage import data

module = hub.Module("https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2")
height, width = hub.get_expected_image_size(module)

cat = data.chelsea()

joeyism

import tensorflow as tf
import tensorflow_hub as hub 

import numpy as np
from skimage import data

module = hub.Module("https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2")
height, width = hub.get_expected_image_size(module)

cat = data.chelsea()

joeyism

import tensorflow as tf
import tensorflow_hub as hub 

import urllib
import numpy as np
from skimage import data, transform

module = hub.Module("https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2")
height, width = hub.get_expected_image_size(module)