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brockmanmatt/defaultapinotebook.ipynb

Last active November 18, 2023 02:50
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defaultapinotebook.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "defaultapinotebook.ipynb",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyO+yVwySbl/hqSdeSvo8je6",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/brockmanmatt/d051e781e5a00713c28698403949233b/defaultapinotebook.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"metadata": {
"id": "J7wnsgT2kPut",
"colab_type": "code",
"colab": {
"resources": {
"http://localhost:8080/nbextensions/google.colab/files.js": {
"data": 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"ok": true,
"headers": [
[
"content-type",
"application/javascript"
]
],
"status": 200,
"status_text": ""
}
},
"base_uri": "https://localhost:8080/",
"height": 86
},
"outputId": "f95cfb62-4e63-4516-e0f1-223cf3d0f48b"
},
"source": [
"from google.colab import files\n",
"uploaded = files.upload()\n",
"print(\"done\")"
],
"execution_count": 1,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/html": [
"\n",
" <input type=\"file\" id=\"files-0b3a484e-7a39-437d-b252-986a628fe5b3\" name=\"files[]\" multiple disabled\n",
" style=\"border:none\" />\n",
" <output id=\"result-0b3a484e-7a39-437d-b252-986a628fe5b3\">\n",
" Upload widget is only available when the cell has been executed in the\n",
" current browser session. Please rerun this cell to enable.\n",
" </output>\n",
" <script src=\"/nbextensions/google.colab/files.js\"></script> "
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "stream",
"text": [
"Saving key.json to key.json\n",
"done\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WHPHrUnhpKnI",
"colab_type": "text"
},
"source": [
"I'll install the API"
]
},
{
"cell_type": "code",
"metadata": {
"id": "zq0ltp2xn4yt",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 281
},
"outputId": "92bb8e68-8ad1-4445-c7a4-52ed63496bb3"
},
"source": [
"!pip install openai\n",
"import openai, json, pandas as pd"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"Collecting openai\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/a8/65/c7461f4c87984534683f480ea5742777bc39bbf5721123194c2d0347dc1f/openai-0.2.4.tar.gz (157kB)\n",
"\u001b[K |████████████████████████████████| 163kB 2.7MB/s \n",
"\u001b[?25hRequirement already satisfied: requests>=2.20 in /usr/local/lib/python3.6/dist-packages (from openai) (2.23.0)\n",
"Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (3.0.4)\n",
"Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (1.24.3)\n",
"Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (2.10)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (2020.6.20)\n",
"Building wheels for collected packages: openai\n",
" Building wheel for openai (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for openai: filename=openai-0.2.4-cp36-none-any.whl size=170710 sha256=e034e9a49e9a6f8e0d1cbe6dab52074a6f406bd52022f0e551c963fcbac90834\n",
" Stored in directory: /root/.cache/pip/wheels/74/96/c8/c6e170929c276b836613e1b9985343b501fe455e53d85e7d48\n",
"Successfully built openai\n",
"Installing collected packages: openai\n",
"Successfully installed openai-0.2.4\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Q2yE0jcnpMEV",
"colab_type": "text"
},
"source": [
"Loading in key.json that I uploaded; I do this so I don't need to worry about accidently leaking creds if I share the colab (which I'm 99% sure is just a json file that won't expose them)"
]
},
{
"cell_type": "code",
"metadata": {
"id": "bwNXXwHen5x9",
"colab_type": "code",
"colab": {}
},
"source": [
"openai.api_key = json.load(open(\"key.json\", \"r\"))[\"key\"]"
],
"execution_count": 3,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "sXTDJx0An9Bl",
"colab_type": "code",
"colab": {}
},
"source": [
"def query(prompt, myKwargs = {}, full=False):\n",
" \"\"\"\n",
" wrapper for the API to save the prompt and the result\n",
" \"\"\"\n",
" #arguments to send the API\n",
" kwargs = {\n",
" \"engine\":\"davinci\",\n",
" \"temperature\":.25,\n",
" \"max_tokens\":150,\n",
" \"stop\":\"\\n\\n\",\n",
" }\n",
"\n",
" for kwarg in myKwargs:\n",
" kwargs[kwarg] = myKwargs[kwarg]\n",
"\n",
" r = openai.Completion.create(prompt=prompt, **kwargs)\n",
" if full:\n",
" return r\n",
" return r[\"choices\"][0][\"text\"].strip()"
],
"execution_count": 4,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "EdFXafcJpZ3Q",
"colab_type": "text"
},
"source": [
"Test to make sure my query works"
]
},
{
"cell_type": "code",
"metadata": {
"id": "4SlyKgjyopPn",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"outputId": "b169b333-78b3-4ece-862a-9264753a3efb"
},
"source": [
"query(\"q: what is 1+1?\\na:\", myKwargs = {\"stop\":\"\\n\"})"
],
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
"data": {
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
},
"text/plain": [
"'2'"
]
},
"metadata": {
"tags": []
},
"execution_count": 5
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "UG8Sv8vrsZrO",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 245
},
"outputId": "aacc0b79-403b-47ad-c006-1cbaa0c04b1e"
},
"source": [
"query(\"q: what is 1+1?\\na:\", myKwargs = {\"stop\":\"\\n\"}, full=True)"
],
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<OpenAIObject text_completion id=cmpl-chHe45xPDCVKpLrft4OCFJAb at 0x7f595e3a0990> JSON: {\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"stop\",\n",
" \"index\": 0,\n",
" \"logprobs\": null,\n",
" \"text\": \" 1\"\n",
" }\n",
" ],\n",
" \"created\": 1600037960,\n",
" \"id\": \"cmpl-chHe45xPDCVKpLrft4OCFJAb\",\n",
" \"model\": \"davinci:2020-05-03\",\n",
" \"object\": \"text_completion\"\n",
"}"
]
},
"metadata": {
"tags": []
},
"execution_count": 6
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "T7Fo5OHXsbTx",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "bcaebfe9-e2df-4010-dc37-d7330bb8b7fa"
},
"source": [
"query(\"q: what is 1+1?\\na:\", myKwargs = {\"stop\":\"\\n\", \"logprobs\":1}, full=True)"
],
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<OpenAIObject text_completion id=cmpl-xkg99YcEX0J0U4KIhW8hIYOy at 0x7f595e3a0468> JSON: {\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"stop\",\n",
" \"index\": 0,\n",
" \"logprobs\": {\n",
" \"text_offset\": [\n",
" 18,\n",
" 20,\n",
" 20,\n",
" 20,\n",
" 20,\n",
" 20,\n",
" 20,\n",
" 20\n",
" ],\n",
" \"token_logprobs\": [\n",
" -1.3635268,\n",
" -0.4698022,\n",
" -1.25233,\n",
" -0.003911239,\n",
" -0.28838336,\n",
" -0.16659734,\n",
" -1.0427603,\n",
" -0.06719897\n",
" ],\n",
" \"tokens\": [\n",
" \" 2\",\n",
" \"\\n\",\n",
" \"q\",\n",
" \":\",\n",
" \" what\",\n",
" \" is\",\n",
" \" 2\",\n",
" \"+\"\n",
" ],\n",
" \"top_logprobs\": [\n",
" {\n",
" \" 2\": -1.3635268\n",
" },\n",
" {\n",
" \"\\n\": -0.4698022\n",
" },\n",
" {\n",
" \"q\": -1.25233\n",
" },\n",
" {\n",
" \":\": -0.003911239\n",
" },\n",
" {\n",
" \" what\": -0.28838336\n",
" },\n",
" {\n",
" \" is\": -0.16659734\n",
" },\n",
" {\n",
" \" 2\": -1.0427603\n",
" },\n",
" {\n",
" \"+\": -0.06719897\n",
" }\n",
" ]\n",
" },\n",
" \"text\": \" 2\"\n",
" }\n",
" ],\n",
" \"created\": 1600037982,\n",
" \"id\": \"cmpl-xkg99YcEX0J0U4KIhW8hIYOy\",\n",
" \"model\": \"davinci:2020-05-03\",\n",
" \"object\": \"text_completion\"\n",
"}"
]
},
"metadata": {
"tags": []
},
"execution_count": 7
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "pA2d1Hzdsg-t",
"colab_type": "code",
"colab": {}
},
"source": [
""
],
"execution_count": null,
"outputs": []
}
]
}
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