Vision API Label Detection.py

import os
import io
from google.cloud import vision
import pandas as pd

os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = r"GoogleCloudDemo.json"

client = vision.ImageAnnotatorClient()

file_name = 'Chicago.jpg'
image_path = f'.\VisionAPI\Images\{file_name}'

with io.open(image_path, 'rb') as image_file:
    content = image_file.read()

# construct an iamge instance
image = vision.types.Image(content=content)
response = client.label_detection(image=image)
labels = response.label_annotations

df = pd.DataFrame(columns=['description', 'score', 'topicality'])

for label in labels:
    df = df.append(
        dict(
            description=label.description,
            score=label.score,
            topicality=label.topicality
        ), ignore_index=True)
    
print(df)