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"cells": [
{
"cell_type": "markdown",
"id": "f14c4442-3fc5-4070-9ef2-bb33d30e6b38",
"metadata": {},
"source": [
"# L2: Evaluate Inputs: Classification"
]
},
{
"cell_type": "markdown",
"id": "26fd0696-18e6-4029-8738-fecba92851db",
"metadata": {},
"source": [
"## Setup\n",
"#### Load the API key and relevant Python libaries.\n",
"In this course, we've provided some code that loads the OpenAI API key for you."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "87f647e2",
"metadata": {
"height": 115
},
"outputs": [],
"source": [
"import os\n",
"import openai\n",
"from dotenv import load_dotenv, find_dotenv\n",
"_ = load_dotenv(find_dotenv()) # read local .env file\n",
"\n",
"openai.api_key = os.environ['OPENAI_API_KEY']"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "101624a2",
"metadata": {
"height": 200
},
"outputs": [],
"source": [
"def get_completion_from_messages(messages, \n",
" model=\"gpt-3.5-turbo\", \n",
" temperature=0, \n",
" max_tokens=500):\n",
" response = openai.ChatCompletion.create(\n",
" model=model,\n",
" messages=messages,\n",
" temperature=temperature, \n",
" max_tokens=max_tokens,\n",
" )\n",
" return response.choices[0].message[\"content\"]"
]
},
{
"cell_type": "markdown",
"id": "d3db09d1-6253-4c9e-9ad1-5a6134df3e6c",
"metadata": {},
"source": [
"#### Classify customer queries to handle different cases"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8db30f42",
"metadata": {
"height": 812
},
"outputs": [],
"source": [
"delimiter = \"####\"\n",
"system_message = f\"\"\"\n",
"You will be provided with customer service queries. \\\n",
"The customer service query will be delimited with \\\n",
"{delimiter} characters.\n",
"Classify each query into a primary category \\\n",
"and a secondary category. \n",
"Provide your output in json format with the \\\n",
"keys: primary and secondary.\n",
"\n",
"Primary categories: Billing, Technical Support, \\\n",
"Account Management, or General Inquiry.\n",
"\n",
"Billing secondary categories:\n",
"Unsubscribe or upgrade\n",
"Add a payment method\n",
"Explanation for charge\n",
"Dispute a charge\n",
"\n",
"Technical Support secondary categories:\n",
"General troubleshooting\n",
"Device compatibility\n",
"Software updates\n",
"\n",
"Account Management secondary categories:\n",
"Password reset\n",
"Update personal information\n",
"Close account\n",
"Account security\n",
"\n",
"General Inquiry secondary categories:\n",
"Product information\n",
"Pricing\n",
"Feedback\n",
"Speak to a human\n",
"\n",
"\"\"\"\n",
"user_message = f\"\"\"\\\n",
"I want you to delete my profile and all of my user data\"\"\"\n",
"messages = [ \n",
"{'role':'system', \n",
" 'content': system_message}, \n",
"{'role':'user', \n",
" 'content': f\"{delimiter}{user_message}{delimiter}\"}, \n",
"] \n",
"response = get_completion_from_messages(messages)\n",
"print(response)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f9a5a790",
"metadata": {
"height": 183
},
"outputs": [],
"source": [
"user_message = f\"\"\"\\\n",
"Tell me more about your flat screen tvs\"\"\"\n",
"messages = [ \n",
"{'role':'system', \n",
" 'content': system_message}, \n",
"{'role':'user', \n",
" 'content': f\"{delimiter}{user_message}{delimiter}\"}, \n",
"] \n",
"response = get_completion_from_messages(messages)\n",
"print(response)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5cfd2fae",
"metadata": {
"height": 30
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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