azure-ai-contentsafety

import os from azure.ai.contentsafety import ContentSafetyClient from azure.ai.contentsafety.models import AnalyzeTextOptions, TextCategory from azure.core.credentials import AzureKeyCredential from azure.core.exceptions import HttpResponseError # Set your Azure Content Safety endpoint and key as environment variables # e.g., export CONTENT_SAFETY_ENDPOINT="https://<your-resource-name>.cognitiveservices.azure.com/" # e.g., export CONTENT_SAFETY_KEY="<your-api-key>" endpoint = os.environ.get("CONTENT_SAFETY_ENDPOINT", "").strip() key = os.environ.get("CONTENT_SAFETY_KEY", "").strip() if not endpoint or not key: print("Please set the environment variables CONTENT_SAFETY_ENDPOINT and CONTENT_SAFETY_KEY.") exit(1) # Create a Content Safety client client = ContentSafetyClient(endpoint, AzureKeyCredential(key)) # Text to analyze text_to_analyze = "I hate you. You are an idiot and I will harm you." # Construct the analysis request request = AnalyzeTextOptions(text=text_to_analyze) try: response = client.analyze_text(request) print(f"Analyzing text: '{text_to_analyze}'") for category_result in response.categories_analysis: if category_result.severity is not None: print(f" Category: {category_result.category}, Severity: {category_result.severity}") else: print(f" Category: {category_result.category}, No severity detected.") except HttpResponseError as e: print(f"Analyze text failed: {e.reason}") if e.error: print(f"Error code: {e.error.code}") print(f"Error message: {e.error.message}") raise print("\nText analysis complete.")