azure-ai-vision-imageanalysis

import os from azure.ai.vision.imageanalysis import ImageAnalysisClient from azure.ai.vision.imageanalysis.models import VisualFeatures from azure.core.credentials import AzureKeyCredential # Set environment variables or replace with actual values # For authentication with AzureKeyCredential vision_endpoint = os.environ.get('VISION_ENDPOINT', 'YOUR_VISION_ENDPOINT') vision_key = os.environ.get('VISION_KEY', 'YOUR_VISION_KEY') # For authentication with DefaultAzureCredential (uncomment and configure if needed) # from azure.identity import DefaultAzureCredential # credential = DefaultAzureCredential() # Authenticate the client # Using AzureKeyCredential (most common for quickstarts) credential = AzureKeyCredential(vision_key) client = ImageAnalysisClient(endpoint=vision_endpoint, credential=credential) # Image to analyze image_url = "https://learn.microsoft.com/azure/ai-services/computer-vision/media/quickstarts/presentation.png" print("Analyzing image from URL...") # Analyze the image for a caption result = client.analyze_from_url( image_url, visual_features=[VisualFeatures.CAPTION, VisualFeatures.TAGS] ) if result.caption is not None: print(f" Caption: '{result.caption.text}' (confidence: {result.caption.confidence:.2f})") if result.tags is not None: print(" Tags:") for tag in result.tags.list: print(f" '{tag.name}' (confidence: {tag.confidence:.2f})")