Update app.py

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
-import openai
 import os
+from openai import OpenAI
 from anthropic import Anthropic
 from azure.ai.contentsafety import ContentSafetyClient
 from azure.ai.contentsafety.models import TextCategory
@@ -10,7 +10,7 @@ from azure.ai.contentsafety.models import AnalyzeTextOptions
 from transformers import pipeline  # Importing Hugging Face pipeline for Toxic BERT
 
 # Load OpenAI and Anthropic API Keys from environment variables
-openai.api_key = os.getenv("OPENAI_API_KEY")
+openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 anthropic_api_key = os.getenv("anthropickey")
 
 # Initialize Anthropic client
@@ -58,15 +58,20 @@ def analyze_text_azure(user_text):
     return "\n".join(results) if results else "No flagged content detected in Azure Content Safety."
 
 def moderate_text(user_text):
-    # OpenAI Moderation
+    # OpenAI Moderation - UPDATED to use new client
     openai_moderation_result = "Error in OpenAI Moderation"
     try:
-        response = openai.Moderation.create(input=user_text)
-        moderation_categories = response["results"][0]["categories"]
-        moderation_flagged = response["results"][0]["flagged"]
+        # This is the updated line:
+        response = openai_client.moderations.create(input=user_text)
+        
+        # These lines are updated to access properties on the object:
+        moderation_categories = response.results[0].categories
+        moderation_flagged = response.results[0].flagged
 
         if moderation_flagged:
-            openai_moderation_result = f"OpenAI flags the text for the following categories: {', '.join([category for category, flagged in moderation_categories.items() if flagged])}"
+            # Convert the categories object to a dictionary
+            categories_dict = {k: v for k, v in vars(moderation_categories).items() if not k.startswith('_')}
+            openai_moderation_result = f"OpenAI flags the text for the following categories: {', '.join([category for category, flagged in categories_dict.items() if flagged])}"
         else:
             openai_moderation_result = "The text is not flagged for any moderation issues by OpenAI."
     except Exception as e:
@@ -129,4 +134,4 @@ iface = gr.Interface(
 )
 
 if __name__ == "__main__":
-    iface.launch()
+    iface.launch()