{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from langchain.llms import OpenAI\n", "from langchain.chains import OpenAIModerationChain, SequentialChain, LLMChain, SimpleSequentialChain\n", "from langchain.prompts import PromptTemplate" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "moderation_chain = OpenAIModerationChain()\n", "# moderation_chain = OpenAIModerationChain(error=True)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'This is okay'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "moderation_chain.run(\"This is okay\")" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\"Text was found that violates OpenAI's content policy.\"" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "moderation_chain.run(\"I will kill you\")" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "class CustomModeration(OpenAIModerationChain):\n", " \n", " def _moderate(self, text: str, results: dict) -> str:\n", " if results[\"flagged\"]:\n", " error_str = f\"The following text was found that violates OpenAI's content policy: {text}\"\n", " return error_str\n", " return text\n", " \n", "custom_moderation = CustomModeration()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'This is okay'" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "custom_moderation.run(\"This is okay\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\"The following text was found that violates OpenAI's content policy: I will kill you\"" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "custom_moderation.run(\"I will kill you\")" ] } ], "metadata": { "kernelspec": { "display_name": "base", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.10" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }