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pip install algorithmia==0.9.3


    

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import Algorithmia
import pprint

pp = pprint.PrettyPrinter(indent=2)


    

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API_KEY = 'YOUR_API_KEY'
# Create a client instance
client = Algorithmia.client(API_KEY)


    

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from IPython.display import Image

face_url = 'https://s3.amazonaws.com/algorithmia-assets/data-science-ipython-notebooks/face.jpg'

# Sample Face Image
Image(url=face_url)


    

    
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Algorithmia.apiKey = 'Simple ' + API_KEY

input = [face_url, "data://.algo/temp/face_result.jpg"]

algo = client.algo('opencv/FaceDetection/0.1.8')
algo.pipe(input)

# Result Image is in under another algorithm name because FaceDetection calls ObjectDetectionWithModels
result_image_data_api_path = '.algo/opencv/ObjectDetectionWithModels/temp/face_result.jpg'

# Result Image with coordinates for the detected face region
result_coord_data_api_path = '.algo/opencv/ObjectDetectionWithModels/temp/face_result.jpgrects.txt'

result_file = Algorithmia.file(result_image_data_api_path).getBytes()

result_coord = Algorithmia.file(result_coord_data_api_path).getString()

# Show Result Image
Image(data=result_file)


    

    
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# Show detected face region coordinates
print 'Detected face region coordinates: ' + result_coord


    

    




Detected face region coordinates: 103	88	280	280

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# Get a Wikipedia article as content
wiki_article_name = 'Technological Singularity'
client = Algorithmia.client(API_KEY)
algo = client.algo('web/WikipediaParser/0.1.0')
wiki_page_content = algo.pipe(wiki_article_name)['content']
print 'Wikipedia article length: ' + str(len(wiki_page_content))


    

    




Wikipedia article length: 39683

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# Summarize the Wikipedia article
client = Algorithmia.client(API_KEY)
algo = client.algo('SummarAI/Summarizer/0.1.2')
summary = algo.pipe(wiki_page_content.encode('utf-8'))
print 'Wikipedia generated summary length: ' + str(len(summary['summarized_data']))
print summary['summarized_data']


    

    




Wikipedia generated summary length: 406
The term was popularized by mathematician, computer scientist and science fiction author Vernor Vinge, who argues that artificial intelligence, human biological enhancement, or brain computer interfaces could be possible causes of the singularity...The technological singularity is a hypothetical event related to the advent of genuine artificial general intelligence also known as quote_tokenstrong AI"...

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# Get up to 20 random Wikipedia articles
client = Algorithmia.client(API_KEY)
algo = client.algo('web/WikipediaParser/0.1.0')
random_wiki_article_names = algo.pipe({"random":20})

random_wiki_articles = []

for article_name in random_wiki_article_names:
    try:
        article_content = algo.pipe(article_name)['content']
        random_wiki_articles.append(article_content)
    except:
        pass
print 'Number of Wikipedia articles scraped: ' + str(len(random_wiki_articles))


    

    




Number of Wikipedia articles scraped: 17

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# Find topics from 20 random Wikipedia articles
algo = client.algo('nlp/LDA/0.1.0')

input = {"docsList": random_wiki_articles, "mode": "quality"}

topics = algo.pipe(input)

pp.pprint(topics)


    

    




[ { u'album': 9,
    u'bomfunk': 10,
    u'kurepa': 13,
    u'mathematics': 9,
    u"mc's": 9,
    u'music': 9,
    u'university': 21,
    u'zagreb': 9},
  { u'british': 23,
    u'hindu': 115,
    u'india': 47,
    u'indian': 33,
    u'movement': 24,
    u'national': 22,
    u'political': 28,
    u'rss': 29},
  { u'berlin': 9,
    u'film': 26,
    u'gotcha': 12,
    u'jonathan': 33,
    u'sasha': 23,
    u'states': 8,
    u'township': 15,
    u'united': 8},
  { u'belfast': 8,
    u'building': 6,
    u'church': 12,
    u'history': 7,
    u'incumbent': 7,
    u'james': 5,
    u"rev'd": 7,
    u'worship': 5}]

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from IPython.display import Image

businesscard_url = 'https://s3.amazonaws.com/algorithmia-assets/data-science-ipython-notebooks/businesscard.jpg'

# Sample Image
Image(url=businesscard_url)


    

    
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input = {"src": businesscard_url,
"hocr":{
"tessedit_create_hocr":1,
"tessedit_pageseg_mode":1,
"tessedit_char_whitelist":"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-@/.,:()"}}

algo = client.algo('tesseractocr/OCR/0.1.0')
pp.pprint(algo.pipe(input))


    

    




{ u'compound': { u'': 95,
                 u'206.552.9054': 84,
                 u'@doppenhe': 85,
                 u'AALGORITHMIA': 53,
                 u'CEO': 88,
                 u'DIEGO': 88,
                 u'OPPENHEIMER': 88,
                 u'Q': 55,
                 u'diego@algorithmia.com': 83,
                 u'doppenheimer': 79,
                 u'o': 77},
  u'result': u' \n \n \n \nAALGORITHMIA \nDIEGO \nOPPENHEIMER \nCEO \ndiego@algorithmia.com \no \n@doppenhe \n206.552.9054 \nQ \ndoppenheimer \n \n \n'}