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Update app.py
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app.py
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@@ -9,8 +9,13 @@ from azure.core.exceptions import HttpResponseError
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from azure.ai.contentsafety.models import AnalyzeTextOptions
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from transformers import pipeline # Importing Hugging Face pipeline for Toxic BERT
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#
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anthropic_api_key = os.getenv("anthropickey")
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# Initialize Anthropic client
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@@ -58,13 +63,13 @@ def analyze_text_azure(user_text):
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return "\n".join(results) if results else "No flagged content detected in Azure Content Safety."
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def moderate_text(user_text):
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# OpenAI Moderation
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openai_moderation_result = "Error in OpenAI Moderation"
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try:
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response = openai_client.moderations.create(input=user_text)
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moderation_categories = response.results[0].categories
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moderation_flagged = response.results[0].flagged
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from azure.ai.contentsafety.models import AnalyzeTextOptions
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from transformers import pipeline # Importing Hugging Face pipeline for Toxic BERT
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# Try to get the API key from either environment variable
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api_key = os.getenv("OPENAI_API_KEY") or os.getenv("openaiapikey")
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if not api_key:
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raise ValueError("No OpenAI API key found in environment variables!")
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# Initialize OpenAI client
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openai_client = OpenAI(api_key=api_key)
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anthropic_api_key = os.getenv("anthropickey")
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# Initialize Anthropic client
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return "\n".join(results) if results else "No flagged content detected in Azure Content Safety."
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def moderate_text(user_text):
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# OpenAI Moderation
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openai_moderation_result = "Error in OpenAI Moderation"
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try:
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# Updated to use the client we defined at the top
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response = openai_client.moderations.create(input=user_text)
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# Updated to access properties on the object
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moderation_categories = response.results[0].categories
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moderation_flagged = response.results[0].flagged
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