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import gradio as gr
import openai
openai.api_key = "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"
def moderate_text(text):
text = str(text).strip() if text else ""
if not text:
return "Input text is empty. Please enter valid text."
try:
response = openai.Moderation.create(
input=text
)
moderation_categories = response["results"][0]["categories"]
moderation_flagged = response["results"][0]["flagged"]
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: {e}"
iface = gr.Interface(
fn=moderate_text,
inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
outputs="text",
title="Text Moderation Tool",
description="Paste some text, and this tool will use OpenAI's Moderation API to determine if it contains sensitive or flagged content."
)
if __name__ == "__main__":
iface.launch()
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