ChatGPTでchatに対する応答文を取得

Posted on 3月 6 by Takaaki Naganoya

OpenAIが提供しているREST APIを呼び出して、チャットに対する応答を生成するAppleScriptです。実行のためにはOpenAIのWebサイトにサインアップして、実行のためのAPI Keyを取得してください。

ChatGPTなどのサービスを提供しているOpenAIにサインアップして、各種サービスをAppleScriptから利用できます。Freeアカウントでは１分あたりに発行できるクエリー数の上限が低めに設定されていますが、実験を行う程度であれば十分なレベルでしょう。

https://platform.openai.com/docs/introduction

「chat」は、いわゆるChatGPTでよく知られている処理で、チャットに応答するものです。この呼び出し方に対して、さらにroleとして「system」「user」「assistant」などの役割を指定することで、チャットらしいやりとりを生成するようです（Chat completion）。

AppleScript名：Chat.scptd

—
–　　Created by: Takaaki Naganoya
–　　Created on: 2023/03/05
—
–　　Copyright © 2023 Piyomaru Software, All Rights Reserved
—

use AppleScript version "2.4" — Yosemite (10.10) or later
use framework "Foundation"
use scripting additions

property NSString : a reference to current application’s NSString
property NSCountedSet : a reference to current application’s NSCountedSet
property NSJSONSerialization : a reference to current application’s NSJSONSerialization
property NSUTF8StringEncoding : a reference to current application’s NSUTF8StringEncoding

set myText to "こんにちは"

set barerKey to "xx-XXXXXXXxXxxxxXxxXXxXXXXxxxXXxxxxXXxxxXXxXXxxXXxx"

set aText to "curl https://api.openai.com/v1/chat/completions -H ’Content-Type: application/json’ -H ’Authorization: Bearer " & barerKey & "’ -d ’{＼"model＼": ＼"gpt-3.5-turbo＼",＼"messages＼": [{＼"role＼": ＼"user＼", ＼"content＼": ＼"" & myText & "＼"}]}’"
set sRes to do shell script aText

set jsonString to NSString’s stringWithString:sRes
set jsonData to jsonString’s dataUsingEncoding:(NSUTF8StringEncoding)
set aRes to NSJSONSerialization’s JSONObjectWithData:jsonData options:0 |error|:(missing value)
set chatRes to (aRes’s valueForKeyPath:"choices.message.content") as list
–>{"こんにちは！こんにちはと言うと、こんにちはと返してくださる方が多いですね。私はAIアシスタントなので、いつでもお話し相手になれます。何かお話を聞かせてください。"}
–> {"、こんにちは! 私はAIアシスタントです。何かお手伝いできることはありますか？"}
–> {"こんにちは！私はAIアシスタントです。何かお手伝いできますか？"}
–> {"、私はAIアシスタントです。何かお手伝いできることはありますか？"}
–> {"こんにちは！こんにちはは、日本語で「こんにちは」と書き、挨拶の一つです。相手と会話をする際に使われる一般的な挨拶の言葉で、おはようございます、こんにちは、こんばんはなどがあります。どうぞよろしくお願いします！"}

★Click Here to Open This Script　

ChatGPTで質問に対する回答を生成（Compilations）

Posted on 2月 26 by Takaaki Naganoya

OpenAIが提供しているREST APIを呼び出して、質問に対する回答を生成するAppleScriptです。実行のためにはOpenAIのWebサイトにサインアップして、実行のためのAPI Keyを取得してください。

https://platform.openai.com/docs/introduction

「質問に対する回答を生成」は、いわゆるChatGPTでよく知られている処理で、対話的に質問文に回答するものです。回答内容が正しいかどうかはちょっとアレですが、自然言語処理もこのレベルまで来たのかと感心させられます。

対話っぽい動作（前回の問い合わせを踏まえた上で回答する）を考えて「user」パラメータを付けて呼び出していますが（ここも自分のユーザーアカウントに書き換えてください）、いまひとつWebブラウザ上で問い合わせを行ったときのような「つながり」を感じられないので、何かまだ指定する必要があるのかもしれません。

AppleScript名：Compilations（質問に対する回答を生成）.scptd

—
–　　Created by: Takaaki Naganoya
–　　Created on: 2023/02/24
—
–　　Copyright © 2023 Piyomaru Software, All Rights Reserved
—

use AppleScript version "2.4" — Yosemite (10.10) or later
use framework "Foundation"
use scripting additions

set myText to "バンダイナムコのアーケードゲーム「戦場の絆1」の初代プロデューサーの名前は、小山順一朗さんです。"

set barerKey to "xx-XXXXXXXxXxxxxXxxXXxXXXXxxxXXxxxxXXxxxXXxXXxxXXxx"

set sRes to (do shell script "curl https://api.openai.com/v1/completions -H ’Content-Type: application/json’ -H ’Authorization: Bearer " & barerKey & "’ -d ’{＼"model＼": ＼"text-davinci-003＼", ＼"prompt＼": ＼"" & myText & "＼", ＼"max_tokens＼": 200, ＼"temperature＼": 0, ＼"user＼": ＼"maro_ml@piyocast.com＼"}’")

–>{|id|:"cmpl-6nMNGJzTFei6eMbn1rnMgMN9ML4qi", object:"text_completion", created:1.677222098E+9, model:"text-davinci-003", choices:{{|index|:0, finish_reason:"stop", logprobs:missing value, |text|:"小山順一朗さんは、バンダイナムコのゲームプロデューサーとして、「戦場の絆1」をはじめとした数々のアーケードゲームをプロデュースしてきました。また、「戦場の絆1」のプロデューサーとして、「戦場の絆2」「戦場の絆3」「戦場の絆4」などのシリーズをプロデュースしています。"}}, usage:{total_tokens:224, completion_tokens:163, prompt_tokens:61}}

★Click Here to Open This Script　

ChatGPTで文章の感情検出（Moderations）

Posted on 2月 26 by Takaaki Naganoya

OpenAIが提供しているREST APIを呼び出して、指定文章の感情検出を行うAppleScriptです。実行のためにはOpenAIのWebサイトにサインアップして、実行のためのAPI Keyを取得してください。

https://platform.openai.com/docs/introduction

「文章の感情検出」は、ユーザーサポートなどの現場においてユーザーからの投稿が質問などのものなのか、あるいは感情的な文章なのかといった「当たり」をつけるために用いられているといった印象があります。

ただ、「I want to kill him.」という例文に対して「hate」が検出されないなど、ややその評価内容には疑問の余地が残されているようです。

AppleScript名：Moderations（感情検出）.scptd

—
–　　Created by: Takaaki Naganoya
–　　Created on: 2023/02/24
—
–　　Copyright © 2023 Piyomaru Software, All Rights Reserved
—

use AppleScript version "2.4" — Yosemite (10.10) or later
use framework "Foundation"
use scripting additions

set aSentence to "I want to kill him."

set barerKey to "xx-XXXXXXXxXxxxxXxxXXxXXXXxxxXXxxxxXXxxxXXxXXxxXXxx"
set sRes to (do shell script "curl https://api.openai.com/v1/moderations -H ’Content-Type: application/json’ -H ’Authorization: Bearer " & barerKey & "’ -d ’{＼"input＼": ＼"" & aSentence & "＼" }’")

set mRes to aRes as {anything, record}
–> {|id|:"modr-6o8PPeHjWYIH5z5Qi79etbe8JaWY8", model:"text-moderation-004", results:{{flagged:true, category_scores:{sexual:3.26660915561661E-6, |sexual/minors|:2.58405265185502E-7, |hate/threatening|:2.28086973947939E-5, hate:0.007466733921, |self-harm|:1.23088886994083E-6, violence:0.794520378113, |violence/graphic|:4.90069034242424E-8}, categories:{sexual:false, |sexual/minors|:false, |hate/threatening|:false, hate:false, |self-harm|:false, violence:true, |violence/graphic|:false}}}}

★Click Here to Open This Script　

ChatGPTで文章のベクトル化（Embedding）

Posted on 2月 26 by Takaaki Naganoya

OpenAIが提供しているREST APIを呼び出して、指定文章のベクトル化を行うAppleScriptです。実行のためにはOpenAIのWebサイトにサインアップして、実行のためのAPI Keyを取得してください。

https://platform.openai.com/docs/introduction

「文章のベクトル化」は、大量の候補文を用意しておいてベクトル化し、新たにユーザーが与えた文章との「類似度」を計算するためのものです。

AppleScript名：Embedding（文章のベクトル化）.scptd

use AppleScript version "2.4" — Yosemite (10.10) or later
use framework "Foundation"
use scripting additions

set myText to "今日はいい天気です。"

set barerKey to "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
set sRes to (do shell script "curl https://api.openai.com/v1/embeddings -H ’Content-Type: application/json’ -H ’Authorization: Bearer " & barerKey & "’ -d ’{＼"input＼": ＼"" & myText & "＼", ＼"model＼":＼"text-embedding-ada-002＼"}’")

set jsonString to NSString’s stringWithString:sRes
set jsonData to jsonString’s dataUsingEncoding:(NSUTF8StringEncoding)
set aRes to NSJSONSerialization’s JSONObjectWithData:jsonData options:0 |error|:(missing value)
set modelRes to aRes as {anything, record}
–> {object:"list", |data|:{{|index|:0, object:"embedding", embedding:{0.0024673557, 0.0037366515, -0.005702117, -0.025023261, 0.010659494, -0.0024349757, 0.0038791234, -0.031266123, 0.005248797, -0.023909388, -0.0052941293, 0.008710219, -0.0028316306, -0.019039437, -0.013780926, -0.009519719, 0.01660446, -0.020762052, 0.019881317, -0.025748573, 0.037897546, 0.025981707, -0.006569901, -0.01387159, -0.023209982, 0.0051743235, 0.014182438, -0.018974677, 0.031032987, -0.026655212, 0.029919116, -0.00975933, -0.007019983, 0.022381052, 0.010186747, -0.032120954, -0.023054557, 0.01536107, -0.0049476633, 0.005919063, 0.01542583, -0.019363238, 0.015335166, -0.0029741025, -0.02567086, 0.008626031, -0.008295755, 0.0018116607, -0.004814905, 0.028546205, 0.011533754, -0.006395049, -0.040876508, -0.038855996, -5.7595916E-4, 0.006106867, -0.014078822, -1.681736E-4, -0.005365365, -0.01260877, -0.0025499247, -0.013949302, -0.009280107, 0.01925962, 0.007266071, -0.01451919, -0.020917477, -0.0051937513, -0.018197557, 0.009701047, 0.008813835, -0.0028105837, -4.6546242E-4, -0.035669804, 0.008813835, 0.0023507876, -0.013003807, -0.010562355, -0.0016028098, 0.008904499, 0.015995719, -0.03269084, -0.0109638665, -0.006909891, 0.0061554373, 0.0031861917, -0.014117678, 0.019440949, -1.770781E-4, -0.017057782, 0.011592038, 0.0014376718, 0.023171125, -0.0041090213, -0.006637899, 0.0035877035, 0.01633247, 0.031136604, 0.011158146, -0.026784733, -0.0041122595, -0.0016950928, 2.7664658E-4, 0.0033416154, -0.051367626, -0.0082892785, 0.027173292, -0.008082047, 0.02120242, -0.038234297, -0.015179742, -0.006909891, 4.5251043E-4, -0.039918058, -0.024518132, 0.008962783, 0.004562341, 0.0014311958, -0.012168402, -3.0922896E-4, 0.018624973, 0.010070179, -0.0012701054, -0.004737193, 0.006450095, 0.01150785, -0.02890886, -0.016228853, -0.011650322, 8.2771364E-4, 0.01426015, 0.005112801, 0.0041187354, 0.007466827, 0.0037139854, 0.012984378, -0.025632005, 0.0197777, -0.010756634, 0.018093942, 0.006236387, 0.035177626, -0.019699989, -0.018236414, -0.013107422, 0.012401538, 0.008600127, -0.019415045, 0.01354779, -0.017562909, 0.020787956, -0.012511631, 0.029349228, 0.017472245, 0.023313597, 0.026784733, 9.843518E-4, 0.017239109, -0.0036265594, -0.013573694, 0.028934764, -0.0132045625, 0.03590294, 0.007725867, 8.362134E-4, 0.02644798, 0.009739903, 0.0050577554, 0.007000555, -2.8352733E-4, -0.0048537613, 0.023184076, -0.030307677, 0.0038305535, -0.010251506, 0.034115564, 0.016280662, 0.005864017, -0.0049185213, -0.017485198, -0.038985513, -8.707183E-5, 0.014558046, -0.005430125, 0.0011486803, -0.011630895, 0.024453372, 0.0055110753, -0.009849994, -0.026422076, 0.0330535, 0.038027067, 0.013405318, -0.013884542, -0.6204525, -0.027976315, -0.0013024854, -0.0033578055, 0.03079985, 0.0029174376, 0.014506238, 0.018132798, -0.01905239, 0.016643317, -0.01290019, 0.009973039, -0.015827341, -0.0017614717, 0.0027199197, -0.016461989, -0.009824091, -0.0061845793, -0.025852188, 0.01796442, -0.016410181, 0.01562011, -0.022186773, -0.018236414, 0.014337862, -0.016215902, -0.009571526, -0.027276909, -0.019997885, 0.041705433, -0.036576442, 0.03901142, 0.014998414, -0.014117678, 0.048181433, -0.0039438833, -0.029789595, 0.050564602, 0.019415045, 0.026046468, -0.024220238, -0.017148446, 0.015827341, -0.0099082785, 0.011112815, -0.006961699, 0.024025956, -0.015153838, 0.01801623, 0.0025628766, -0.0042353035, -0.0033707574, 0.0029384845, -0.0015914767, -0.012731814, 0.016695125, 0.039063226, -0.030748043, -0.01163737, 0.0014692423, -0.006589329, 0.009383723, -0.013949302, -0.010950915, -0.016449038, 0.01562011, -0.007492731, 0.005987061, 0.020723198, 0.0031068607, -0.0051095635, 0.0049347114, 0.014609854, 0.018093942, 0.011125767, 0.013729118, 0.037742123, -0.0028915335, -0.020956334, 0.014311958, 0.011695654, -0.019712942, -0.018948773, 0.0023313598, 0.006877511, -0.012569915, -0.038674667, -0.01822346, 0.021435557, -0.0042968253, 0.010769586, 0.02028283, 0.024090717, 0.0019444188, 0.008263375, 0.018327078, -0.008470607, -0.024803076, 0.0041640676, 0.014570998, -0.0054625054, 0.011061006, 0.016669221, 0.008412323, 0.007201311, 0.009552099, -0.026681116, -0.006521331, -0.0035650374, -0.01840479, 0.018003277, -0.01510203, -0.01796442, 0.0025207826, 0.024272045, -0.032898076, 0.016837597, 0.012550486, 0.00843175, 0.008412323, 0.0090987785, 0.0060971533, 0.019712942, -0.008502987, -0.021590982, 0.029375132, -0.007486255, -0.012971426, -0.0032282856, 0.007421495, -0.010633591, 0.0019897507, 0.016034573, -0.019894268, 0.03033358, -0.031551067, 0.008308707, -0.0126411505, 0.04802601, -0.011876983, -0.027017869, -0.014221294, -0.010491119, 0.017718334, -0.0026762066, -0.016449038, -0.01490775, -0.005760401, -0.026914252, 0.013340558, 0.007123599, 0.004520247, -0.007745295, 0.022925036, -0.018871062, -0.0026389696, 0.007777675, -0.008898023, -0.008308707, 3.936193E-5, 0.009072875, 0.0013850543, -0.01464871, 0.006006489, -0.005925539, -0.01866383, -0.033727, 0.016733982, -0.006246101, -0.023054557, -0.016695125, -0.0042061615, -0.009610383, 0.011203478, 0.0089109745, -0.016759885, 0.0016837597, -0.005423649, 0.0045688176, -0.016539702, -0.009985991, -0.027147388, -0.015335166, 0.0021548886, -0.0032590465, -0.007058839, 0.029711884, 0.04025481, -0.006621709, 0.021629836, -0.008295755, 0.025165733, -0.008107951, 0.008127379, 0.036343306, -0.025204588, 0.0011932028, 0.02735462, 0.015982766, 0.017537005, 0.012323827, 0.009215347, 0.014104726, -0.0120777385, -4.7841444E-4, -0.021318989, 0.007240167, -0.01231735, 0.0020010837, 0.01098977, 0.0010321124, -0.022044301, -0.019427998, 0.0024592606, -0.01315923, 0.019130101, 0.0025304966, -6.358622E-4, 0.008107951, -0.018521357, 0.007272547, 0.016733982, -0.0016934738, -0.04686033, -0.029064285, -0.014493286, 0.012272018, 0.03131793, 0.0130167585, -0.007687011, -0.024712412, -0.014855942, -0.02249762, 0.025632005, 0.004209399, -0.060459927, 0.0032234285, -0.018599069, 0.054553818, 0.03800116, 0.007557491, -0.0014789563, 0.006760943, -0.030773947, 2.950627E-4, 0.016837597, 0.04349281, 0.008703743, 0.0018148988, 0.0038273155, -0.015995719, -0.036187883, -0.013275798, -0.00911173, 0.007207787, -0.058491223, 0.0019071817, -0.014039966, 0.01516679, 0.044891626, 0.012680006, 0.04551332, -0.0021111758, -0.0027927747, 0.020256925, 0.0024997357, 0.016513798, -0.03279446, -0.007706439, 0.0010264459, -0.0021678407, 0.005261749, 0.0023783108, -0.009170014, 0.007168931, -0.02054187, -0.008211567, -0.0029433416, 0.0051516574, 0.015089078, 6.973841E-4, -0.037534893, -0.010037798, 0.01222021, -0.0021937448, -0.013832734, -0.012945523, -0.034452315, -0.022653045, 0.018003277, 0.015581254, 0.028028125, -0.012809526, 8.872119E-4, 0.012123071, -0.009681619, 0.038855996, -0.0032655227, -0.059475575, -0.027898604, 0.029064285, -0.014078822, 0.022665996, -0.035643898, 0.005067469, 4.998662E-4, -0.008230994, -0.0024284997, 2.5215923E-4, 0.011779842, -0.0052747014, -0.016941214, -0.019635228, -0.017226158, 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★Click Here to Open This Script　

AppleScriptの穴

Useful & Practical AppleScript archive. Click '★Click Here to Open This Script' Link to download each AppleScript

タグ: ChatGPT

ChatGPTでchatに対する応答文を取得

ChatGPTで質問に対する回答を生成（Compilations）

ChatGPTで文章の感情検出（Moderations）

ChatGPTで文章のベクトル化（Embedding）