Azure AI services - Content safety - Text Analysis with Azure AI Content Safety

 Azure AI services - Content safety - Text Analysis with Azure AI Content Safety:

#pip install azure-ai-contentsafety
 

import os
from azure.ai.contentsafety import ContentSafetyClient
from azure.core.credentials import AzureKeyCredential
from azure.core.exceptions import HttpResponseError
from azure.ai.contentsafety.models import AnalyzeTextOptions, TextCategory
 
def analyze_text():
    key = "6IblsP7u6dukqD3iQCxQcaOWDADIJQQJ99BAACYeBjFXJ3w3AAAHACOGqVgn"; #"CONTENT_SAFETY_KEY"
    endpoint = "https://contentsafety1.cognitiveservices.azure.com/"; #"CONTENT_SAFETY_ENDPOINT"
 
    # Create an Azure AI Content Safety client
    client = ContentSafetyClient(endpoint, AzureKeyCredential(key))
 
    # Contruct request
    request = AnalyzeTextOptions(text = "Hi, How are you!. you are ugly. I hate you.")
 
    # Analyze text
    try:
        response = client.analyze_text(request)
    except HttpResponseError as e:
        print("Analyze text failed.")
        if e.error:
            print(f"Error code: {e.error.code}")
            print(f"Error message: {e.error.message}")
            raise
        print(e)
        raise
 
    hate_result = next(item for item in response.categories_analysis if item.category == TextCategory.HATE)
        self_harm_result = next(item for item in response.categories_analysis if item.category == TextCategory.SELF_HARM)
        sexual_result = next(item for item in response.categories_analysis if item.category == TextCategory.SEXUAL)
        violence_result = next(item for item in response.categories_analysis if item.category == TextCategory.VIOLENCE)
 
        if hate_result:
        print(f"Hate severity: {hate_result.severity}")
    if self_harm_result:
        print(f"SelfHarm severity: {self_harm_result.severity}")
    if sexual_result:
        print(f"Sexual severity: {sexual_result.severity}")
    if violence_result:
        print(f"Violence severity: {violence_result.severity}")
 
if __name__ == "__main__":
    analyze_text()
 
OutPut: