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"""
Code here was custom written, but based on ChatGPT-4.
Example prompt: write a python function that uses an api that given an image returns a text summary of it
"""
import json
import os
from concurrent.futures import ThreadPoolExecutor
from typing import Dict, List
from dotenv import load_dotenv
from google.cloud import vision
from google.oauth2 import service_account
from code_tasks.image_dimensions import get_image_dimensions
load_dotenv()
VISION_CREDENTIALS = service_account.Credentials.from_service_account_info(
json.loads(os.environ["GOOGLE_APPLICATION_KEY"])
)
def analyze_images(images) -> List[Dict]:
max = 20
def get_image_info(image_url: str) -> Dict:
client = vision.ImageAnnotatorClient(credentials=VISION_CREDENTIALS)
image = vision.Image()
image.source.image_uri = image_url # type: ignore
response = client.label_detection(image=image) # type: ignore
labels = [label.description for label in response.label_annotations]
dimensions = get_image_dimensions(image_url)
return {
"url": image_url,
"labels": ", ".join(labels),
"dimensions": f"{dimensions[0]}x{dimensions[1]}",
}
with ThreadPoolExecutor() as executor:
return list(executor.map(get_image_info, images[:max]))
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