Cognitive Services chapter code files

Author: paraluke23

textanalytics_api.py

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+# Author: Parashar Shah
+# Chapter: Cognitive Services
+# Version: 1.0
+# Date: May 25, 2018
+# Replace <Subscription Key> with your valid subscription's api access key.
+subscription_key = "<Access Key>"
+assert subscription_key
+
+# Replace the base url with what you see as Endpoint in the portal’s Overview section under your api
+
+text_analytics_base_url = "https://westus2.api.cognitive.microsoft.com/text/analytics/v2.0/"
+
+sentiment_api_url = text_analytics_base_url + "sentiment"
+
+# Send the text you want the api to analyze
+# You can send multiple texts
+documents = {'documents' : [
+  {'id': '1', 'text': 'I am excited about using AI offerings by Microsoft.'},
+]}
+
+import requests
+
+# Get sentiment of text
+headers   = {"Ocp-Apim-Subscription-Key": subscription_key}
+response  = requests.post(sentiment_api_url, headers=headers, json=documents)
+sentiments = response.json()
+print(sentiments)
+
+# Get the language of text
+language_api_url = text_analytics_base_url + "languages"
+response  = requests.post(language_api_url, headers=headers, json=documents)
+languages = response.json()
+print(languages)
+
+# Get key phrases from text
+key_phrase_api_url = text_analytics_base_url + "keyPhrases"
+response  = requests.post(key_phrase_api_url, headers=headers, json=documents)
+key_phrases = response.json()
+print(key_phrases)
+
+# Get well-known entities
+entity_linking_api_url = text_analytics_base_url + "entities"
+response  = requests.post(entity_linking_api_url, headers=headers, json=documents)
+entities = response.json()
+print(entities)

vision_api.py

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+# Author: Parashar Shah
+# Chapter: Cognitive Services
+# Version: 1.0
+# Date: May 25, 2018
+# Replace <Subscription Key> with your valid subscription's api access key.
+subscription_key = "<Access Key>"
+assert subscription_key
+
+# Replace the base url with what you see as Endpoint in the portal’s Overview section under your api
+
+vision_base_url = "https://westus.api.cognitive.microsoft.com/vision/v1.0/"
+
+vision_analyze_url = vision_base_url + "analyze"
+
+# Set image_url to the URL of an image that you want to analyze.
+image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/1/12/" + \
+    "Flickr_-_Duncan~_-_London_from_Parliament_Hill.jpg/640px-Flickr_-_Duncan~_-_London_from_Parliament_Hill.jpg"
+
+import requests
+headers  = {'Ocp-Apim-Subscription-Key': subscription_key }
+params   = {'visualFeatures': 'Categories,Description,Color'}
+data     = {'url': image_url}
+response = requests.post(vision_analyze_url, headers=headers, params=params, json=data)
+response.raise_for_status()
+
+# The 'analysis' object contains various fields that describe the image. The most
+# relevant caption for the image is obtained from the 'descriptions' property.
+analysis = response.json()
+print(analysis)
+
+image_caption = analysis["description"]["captions"][0]["text"].capitalize()
+
+# Display the image and overlay it with the caption.
+# If you are using a Jupyter notebook, uncomment the following line.
+#%matplotlib inline
+from PIL import Image
+from io import BytesIO
+import matplotlib.pyplot as plt
+image = Image.open(BytesIO(requests.get(image_url).content))
+plt.imshow(image)
+plt.axis("off")
+_ = plt.title(image_caption, size="x-large", y=-0.1)