Update Functions notebook example

This commit is contained in:
Andrei Betlen 2023-11-10 12:49:14 -05:00
parent b7e60b66f4
commit 85ead98a3e

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@ -1,15 +1,22 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Function Calling with OpenAI Python Client"
]
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ChatCompletion(id='chatcmpl-b6dcbb47-1120-4761-8cd9-83542c97647b', choices=[Choice(finish_reason='stop', index=0, message=ChatCompletionMessage(content=\"The current temperature in San Francisco is 72 degrees Fahrenheit. It's a sunny day with clear skies, making it perfect for outdoor activities.\\n \", role='assistant', function_call=None, tool_calls=None))], created=1699602158, model='gpt-3.5-turbo-1106', object='chat.completion', system_fingerprint=None, usage=CompletionUsage(completion_tokens=38, prompt_tokens=135, total_tokens=173))\n"
"ChatCompletion(id='chatcmpl-a2d9eb9f-7354-472f-b6ad-4d7a807729a3', choices=[Choice(finish_reason='stop', index=0, message=ChatCompletionMessage(content='The current weather in San Francisco is **72°F** (22°C).\\n ', role='assistant', function_call=None, tool_calls=None))], created=1699638365, model='gpt-3.5-turbo-1106', object='chat.completion', system_fingerprint=None, usage=CompletionUsage(completion_tokens=22, prompt_tokens=136, total_tokens=158))\n"
]
}
],
@ -100,9 +107,26 @@
"print(run_conversation())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Function Calling with Instructor\n",
"\n",
"You'll need to install the [`instructor`](https://github.com/jxnl/instructor/) package to run this notebook. You can do so by running the following command in your terminal:\n",
"\n",
"```bash\n",
"pip install instructor\n",
"```\n",
"\n",
"We'll highlight a few basic examples taken from the [instructor cookbook](https://jxnl.github.io/instructor/)\n",
"\n",
"## Basic Usage"
]
},
{
"cell_type": "code",
"execution_count": 30,
"execution_count": 5,
"metadata": {},
"outputs": [
{
@ -140,10 +164,27 @@
]
},
{
"cell_type": "code",
"execution_count": 31,
"cell_type": "markdown",
"metadata": {},
"outputs": [],
"source": [
"## Text Classification\n",
"\n",
"### Single-Label Classification"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"class_label=<Labels.SPAM: 'spam'>\n"
]
}
],
"source": [
"import enum\n",
"\n",
@ -172,19 +213,27 @@
" ) # type: ignore\n",
"\n",
"prediction = classify(\"Hello there I'm a Nigerian prince and I want to give you money\")\n",
"assert prediction.class_label == Labels.SPAM"
"assert prediction.class_label == Labels.SPAM\n",
"print(prediction)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Multi-Label Classification"
]
},
{
"cell_type": "code",
"execution_count": 32,
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"class_labels=[<MultiLabels.BILLING: 'billing'>, <MultiLabels.TECH_ISSUE: 'tech_issue'>]\n"
"class_labels=[<MultiLabels.TECH_ISSUE: 'tech_issue'>, <MultiLabels.BILLING: 'billing'>]\n"
]
}
],
@ -223,16 +272,27 @@
"print(prediction)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Self-Critique"
]
},
{
"cell_type": "code",
"execution_count": 33,
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"question='What is the meaning of life?' answer='The meaning of life, according to the Devil, is to live a life of sin and debauchery.'\n"
"question='What is the meaning of life?' answer='According to the Devil, the meaning of life is to live a life of sin and debauchery.'\n",
"1 validation error for QuestionAnswerNoEvil\n",
"answer\n",
" Assertion failed, The statement promotes sin and debauchery, which can be considered objectionable. [type=assertion_error, input_value='According to the Devil, ... of sin and debauchery.', input_type=str]\n",
" For further information visit https://errors.pydantic.dev/2.3/v/assertion_error\n"
]
}
],
@ -294,6 +354,13 @@
" print(e)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Answering Questions with Validated Citations"
]
},
{
"cell_type": "code",
"execution_count": 42,
@ -366,13 +433,6 @@
"qa = ask_ai(question, context)\n",
"print(qa)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {