/
UofT.py
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/
UofT.py
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import requests
# If you are using a Jupyter notebook, uncomment the following line.
#%matplotlib inline
import matplotlib.pyplot as plt
from PIL import Image
from io import BytesIO
# Replace <Subscription Key> with your valid subscription key.
subscription_key = "3b9082fe97b8430084aa4106468e7f47"
assert subscription_key
# You must use the same region in your REST call as you used to get your
# subscription keys. For example, if you got your subscription keys from
# westus, replace "westcentralus" in the URI below with "westus".
#
# Free trial subscription keys are generated in the "westus" region.
# If you use a free trial subscription key, you shouldn't need to change
# this region.
vision_base_url = "https://eastus.api.cognitive.microsoft.com/vision/v2.0/"
analyze_url = vision_base_url + "analyze"
# Set image_path to the local path of an image that you want to analyze.
image_path = "/Users/sai/Desktop/uoft/nocar/nc2.jpg"
# Read the image into a byte array
image_data = open(image_path, "rb").read()
headers = {'Ocp-Apim-Subscription-Key': subscription_key,
'Content-Type': 'application/octet-stream'}
params = {'visualFeatures': 'Categories,Description'}
response = requests.post(
analyze_url, headers=headers, params=params, data=image_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 'description' property.
analysis = response.json()
print(analysis)
image_caption = analysis["description"]["captions"][0]["text"].capitalize()
# Display the image and overlay it with the caption.
image = Image.open(BytesIO(image_data))
plt.imshow(image)
plt.axis("off")
_ = plt.title(image_caption, size="x-large", y=-0.1)