Update app.py

app.py

@@ -1,33 +1,30 @@
 import gradio as gr
-from openai import OpenAI
+import openai
 
-# Initialize OpenAI moderation client with your API key
-client = OpenAI(api_key="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")
+openai.api_key = "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"
 
 def moderate_text(text):
-    # Ensure input is processed correctly
     text = str(text).strip() if text else ""
 
     if not text:
         return "Input text is empty. Please enter valid text."
 
-    # Call OpenAI Moderation API
-    response = client.moderations.create(
-        model="omni-moderation-latest",
-        input=text
-    )
+    try:
+        response = openai.Moderation.create(
+            model="text-moderation-latest",  # Updated to the correct model name if required
+            input=text
+        )
 
-    # Extract moderation results
-    moderation_categories = response["results"][0]["categories"]
-    moderation_flagged = response["results"][0]["flagged"]
+        moderation_categories = response["results"][0]["categories"]
+        moderation_flagged = response["results"][0]["flagged"]
 
-    # Handle flagged and non-flagged cases
-    if moderation_flagged:
-        flagged_categories = [category for category, flagged in moderation_categories.items() if flagged]
-        return f"The text is flagged for moderation due to: {', '.join(flagged_categories)}"
-    else:
-        return "The text is not flagged for any moderation issues."
+        if moderation_flagged:
+            flagged_categories = [category for category, flagged in moderation_categories.items() if flagged]
+            return f"The text is flagged for moderation due to: {', '.join(flagged_categories)}"
+        else:
+            return "The text is not flagged for any moderation issues."
+    except Exception as e:
+        return f"An error occurred while processing the input: {str(e)}"
 
-# Create Gradio interface
 iface = gr.Interface(fn=moderate_text, inputs="text", outputs="text")
-iface.launch()
+iface.launch()