| import gradio as gr |
| from openai import OpenAI |
| from dotenv import load_dotenv |
| import os |
| import logging |
| import json |
|
|
| load_dotenv() |
|
|
| logging.basicConfig( |
| level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s" |
| ) |
| logger = logging.getLogger(__name__) |
|
|
| client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) |
|
|
|
|
| def remove_slash_categories(data): |
| return {k: v for k, v in data.items() if "/" not in k} |
|
|
|
|
| def check_moderation(text): |
| try: |
| moderation = client.moderations.create(input=text) |
| result = moderation.results[0] |
|
|
| logger.info( |
| f"Raw API response: {json.dumps(moderation.model_dump(), indent=2)}" |
| ) |
|
|
| status = "Flagged" if result.flagged else "Not Flagged" |
|
|
| filtered_categories = remove_slash_categories(result.categories.model_dump()) |
| filtered_scores = remove_slash_categories(result.category_scores.model_dump()) |
|
|
| flagged_categories = [ |
| f"- {cat}: {filtered_scores[cat]:.6f}" |
| for cat, flag in filtered_categories.items() |
| if flag |
| ] |
|
|
| flagged_categories.sort(key=lambda x: float(x.split(": ")[1]), reverse=True) |
|
|
| flagged_categories_str = ( |
| "\n".join(flagged_categories) |
| if flagged_categories |
| else "No categories flagged" |
| ) |
|
|
| logger.info(f"Moderation check completed for text: {text[:50]}...") |
| return status, flagged_categories_str |
| except Exception as e: |
| logger.error(f"An error occurred: {str(e)}") |
| raise gr.Error(f"An error occurred: {str(e)}") |
|
|
|
|
| with gr.Blocks() as demo: |
| gr.Markdown("# OpenAI Moderation API Checker") |
|
|
| with gr.Row(): |
| with gr.Column(scale=1): |
| input_text = gr.Textbox(label="Enter text to check", lines=3) |
| check_button = gr.Button("Check Moderation") |
|
|
| with gr.Column(scale=1): |
| status_output = gr.Textbox(label="Status") |
| categories_output = gr.Textbox( |
| label="Flagged Categories (Sorted by Score)", lines=5 |
| ) |
|
|
| check_button.click( |
| check_moderation, |
| inputs=[input_text], |
| outputs=[status_output, categories_output], |
| ) |
|
|
| gr.Examples( |
| examples=[ |
| ["I love spending time with my family and friends."], |
| ["The weather is beautiful today."], |
| ["I want to kill them."], |
| ["I'm going to bomb the airport tomorrow."], |
| ], |
| inputs=[input_text], |
| ) |
|
|
| if __name__ == "__main__": |
| demo.launch() |
|
|