├── .gitattributes
├── README.md
├── index.html
├── index.js
└── package.json
/.gitattributes:
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1 | # Auto detect text files and perform LF normalization
2 | * text=auto
3 |
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/README.md:
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1 | # Readme
2 | Using GPT-3 in [[logseq]] is actually remarkably easy. The folks over at OpenAI have built a really powerful model with [pretty good documentation](https://beta.openai.com/docs/api-reference/answers)
3 | All that you really need to do is send a post request to their site with the propper api key in the header of the message.
4 | This is all the code the plugin uses:
5 | ``` js
6 | let gpt3Options = {
7 | // "engine": "text-davinci-001",
8 | "prompt": "this is the text that gets sent",
9 | "temperature": 0.7,
10 | "max_tokens": 64,
11 | "top_p": 1,
12 | "frequency_penalty": 0,
13 | "presence_penalty": 0
14 | }
15 |
16 | function main () {
17 | logseq.Editor.registerSlashCommand(
18 | 'GPT-3',
19 | async () => {
20 | const { content, uuid } = await logseq.Editor.getCurrentBlock({includeChildren: true})
21 | console.log(content)
22 | gpt3Options.prompt = content
23 |
24 | postData('https://api.openai.com/v1/engines/text-davinci-001/completions', gpt3Options)
25 | .then(data => {
26 | logseq.Editor.insertBlock(uuid, data.choices[0].text, { before: false, sibling: true })
27 | console.log(data);
28 | });
29 |
30 | }
31 | )
32 |
33 |
34 | }
35 |
36 | async function postData(url = '', data = {}) {
37 | // Default options are marked with *
38 | const response = await fetch(url, {
39 | method: 'POST', // *GET, POST, PUT, DELETE, etc.
40 | mode: 'cors', // no-cors, *cors, same-origin
41 | cache: 'no-cache', // *default, no-cache, reload, force-cache, only-if-cached
42 | credentials: 'same-origin', // include, *same-origin, omit
43 | headers: {
44 | 'Content-Type': 'application/json',
45 | 'Authorization': 'Bearer PASTE-YOUR-APIKEY-HERE'
46 | // 'Content-Type': 'application/x-www-form-urlencoded',
47 | },
48 | redirect: 'follow', // manual, *follow, error
49 |
50 | referrerPolicy: 'no-referrer', // no-referrer, *no-referrer-when-downgrade, origin, origin-when-cross-origin, same-origin, strict-origin, strict-origin-when-cross-origin, unsafe-url
51 | body: JSON.stringify(data) // body data type must match "Content-Type" header
52 | });
53 | return response.json(); // parses JSON response into native JavaScript objects
54 | }
55 |
56 | // bootstrap
57 | logseq.ready(main).catch(console.error)
58 | ```
59 |
60 | All you need to do to use it is:
61 | - [Sign Up for OpenAI](https://beta.openai.com/signup)
62 | - [Copy your API KEY](https://beta.openai.com/account/api-keys)
63 | - Paste it into line 40. Make sure to leave the word 'Bearer' in the string- the line should look like `'Authorization': 'Bearer sk-salkfjasdpfijasfkjavvkblahblahsecretsecretkey'`
64 | - Load the unpacked plugin
65 | - Type some stuff you want to send to gpt-3
66 | - Use the slash command 'GPT-3'
67 |
68 | Things to note are that it only grabs the text of the current block, and the options at the top are somewhat arbitrary. Editing them suit your needs.
69 | There's a lot more that can be done with this model and plugin- feel free to improve on this
70 |
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/index.html:
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1 |
2 |
3 |
4 |
5 |
7 |
8 | Logseq slash commands
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
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/index.js:
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1 | let gpt3Options = {
2 | // "engine": "text-davinci-001",
3 | "prompt": "this is the text that gets sent",
4 | "temperature": 0.7,
5 | "max_tokens": 64,
6 | "top_p": 1,
7 | "frequency_penalty": 0,
8 | "presence_penalty": 0
9 | }
10 |
11 | function main () {
12 | logseq.Editor.registerSlashCommand(
13 | 'GPT-3',
14 | async () => {
15 | const { content, uuid } = await logseq.Editor.getCurrentBlock({includeChildren: true})
16 | gpt3Options.prompt = content
17 |
18 | postData('https://api.openai.com/v1/engines/text-davinci-001/completions', gpt3Options)
19 | .then(data => {
20 | logseq.Editor.insertBlock(uuid, data.choices[0].text, { before: false, sibling: true })
21 | });
22 |
23 | }
24 | )
25 |
26 |
27 | }
28 |
29 | async function postData(url = '', data = {}) {
30 | // Default options are marked with *
31 | const response = await fetch(url, {
32 | method: 'POST', // *GET, POST, PUT, DELETE, etc.
33 | mode: 'cors', // no-cors, *cors, same-origin
34 | cache: 'no-cache', // *default, no-cache, reload, force-cache, only-if-cached
35 | credentials: 'same-origin', // include, *same-origin, omit
36 | headers: {
37 | 'Content-Type': 'application/json',
38 | 'Authorization': 'Bearer PASTE-YOUR-APIKEY-HERE'
39 | // 'Content-Type': 'application/x-www-form-urlencoded',
40 | },
41 | redirect: 'follow', // manual, *follow, error
42 |
43 | referrerPolicy: 'no-referrer', // no-referrer, *no-referrer-when-downgrade, origin, origin-when-cross-origin, same-origin, strict-origin, strict-origin-when-cross-origin, unsafe-url
44 | body: JSON.stringify(data) // body data type must match "Content-Type" header
45 | });
46 | return response.json(); // parses JSON response into native JavaScript objects
47 | }
48 |
49 | // bootstrap
50 | logseq.ready(main).catch(console.error)
51 |
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/package.json:
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1 | {
2 | "name": "GPT3",
3 | "version": "0.0.1",
4 | "description": "Generate GPT-3 Responses to Block Trees",
5 | "main": "index.html",
6 | "author": "JOhn",
7 | "license": "MIT",
8 | "logseq": {
9 | "id": "_r5fbt3wdc"
10 | }
11 | }
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