juliensimon

FROM ubuntu:16.04

RUN apt-get update && \
    apt-get -y install build-essential libopencv-dev libopenblas-dev libjemalloc-dev libgfortran3 \
    python-dev python3-dev python3-pip wget curl

COPY mnist_cnn.py /opt/program/train
RUN chmod +x /opt/program/train

RUN mkdir /root/.keras

juliensimon

# Interaction model
{
    "name": "TranslateIntent",
    "slots": [
        {
            "name": "Language",
            "type": "AMAZON.Language"
        }
    ],
    "samples": [

juliensimon

# TranslateApi.py
def translateText(translate, text, source, target):
        response = translate.translate_text(Text=text, SourceLanguageCode=source, TargetLanguageCode=target)
        return response['TranslatedText']
    
# server.py
elif message.payload.startswith("translate"):
   src_language_code = ComprehendApi.detectLanguage(comprehend, text)
   dest_language = message.payload.split(' ')[1]
   dest_language_code = language_info[dest_language]['code']

juliensimon

# Interaction model
{
  "name": "ReadIntent",
  "slots": [],
  "samples": [
      "what's written here",
      "what is this text",
      "Read this text",
      "Can you read this",
      "Read this"

juliensimon

# RekognitionApi.py
def detectText(rekognition, imageFilename, imageBucket=defaultBucket):
    response = rekognition.detect_text(
        Image={'S3Object': {'Bucket':imageBucket, 'Name':imageFilename}})
    text = ''
    for t in response['TextDetections']:
        if t['Type'] == 'LINE':
            text = text+t['DetectedText']+' '
    return text
  

juliensimon

# Interaction model
{
    "name": "LanguageIntent",
    "slots": [],
    "samples": [
        "what language this is",
        "Tell me which language this is",
        "What's this language",
        "Which language is this"
    ]

juliensimon

# ComprehendApi.py
def detectLanguage(client,text):
  resp = client.detect_dominant_language(Text=text)
  return resp['Languages'][0]['LanguageCode']

# server.py
language_name = {'en':'English', 'fr':'French', 'de':'German', 'es':'Spanish'}
...
if message.payload.startswith("language"):
  language_code = ComprehendApi.detectLanguage(comprehend, text)

juliensimon

# RekokgnitionApi.py
def detectCelebrities(rekognition, imageFilename, imageBucket=defaultBucket):
    resp = rekognition.recognize_celebrities(
            Image = {"S3Object" : {'Bucket' : imageBucket, 'Name' : imageFilename}})
    return resp['CelebrityFaces']
  
# RekokgnitionUtils.py
def generateMessages(faceCounter, celebs, labels):
  if (faceCounter == 0):
    faceMessage = "No face has been detected, sorry."

juliensimon

$ serverless deploy
<output removed>
Service Information
service: sagemakerscheduler
stage: dev
region: us-east-1
stack: sagemakerscheduler-dev
api keys:
  None
endpoints:

juliensimon

import boto3, os, datetime

def main(event, context):

    training_job_name = os.environ['training_job_name']

    sm = boto3.client('sagemaker')
    job = sm.describe_training_job(TrainingJobName=training_job_name)

    training_job_prefix = os.environ['training_job_prefix']