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ChatGPT script
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#! /usr/bin/env bash | |
~/repos/gpt-scripts/chat-gpt.ts "$@" | glow |
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#! /usr/bin/env bash | |
# save current conversation to file | |
~/repos/gpt-scripts/chat-gpt.ts -s >~/chat-gpt/"$1" |
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#! /usr/bin/env bash | |
# save current conversation to github gist | |
~/repos/gpt-scripts/chat-gpt.ts -s | gh gist create -f chat.md -d "${1:-GPT-4 chat}" |
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#! /usr/bin/env -S deno run --allow-env --allow-read --allow-net | |
import { load as loadEnv } from "https://deno.land/std@0.200.0/dotenv/mod.ts" | |
import * as flags from "https://deno.land/std@0.184.0/flags/mod.ts" | |
import { readAll } from "https://deno.land/std@0.184.0/streams/read_all.ts" | |
import { type JSONValue } from "https://deno.land/std@0.184.0/jsonc/mod.ts" | |
import OpenAI from "npm:openai@^4.3.0" | |
type Message = OpenAI.Chat.Completions.ChatCompletionMessage | |
// SETUP: put OPENAI_API_KEY in a .env file in the same directory as this script | |
// This program outputs Markdown, so to make it look really good, pipe it | |
// through something like Glow | |
async function getOpenAI() { | |
// needed to resolve .env path as being in the same directory as the script | |
// no matter where it's called from | |
const envPath = new URL(import.meta.resolve("./.env")).pathname | |
const env = await loadEnv({ envPath }) | |
if (!env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY not found in .env") | |
return new OpenAI({ apiKey: env.OPENAI_API_KEY }) | |
} | |
const codeBlock = (contents: string, lang = "") => `\`\`\`${lang}\n${contents}\n\`\`\`\n` | |
const jsonBlock = (obj: JSONValue) => codeBlock(JSON.stringify(obj, null, 2), "json") | |
const HELP = ` | |
# Usage | |
ai [options] MESSAGE | |
# Options | |
Pass \`-\` as message to read from stdin. | |
| Flag | Effect | | |
| --- | --- | | |
| None | Start a new chat | | |
| -r, --reply | Continue existing chat | | |
| -s, --show | Show chat so far | | |
| -a, --append | Read from stdin and append to MESSAGE | | |
| -p, --persona [str] | Override default persona in system prompt | | |
| -t, --turbo | Use gpt-3.5-turbo instead of gpt-4 | | |
` | |
const History = { | |
read() { | |
const contents = localStorage.getItem("history") | |
if (!contents) return null | |
return JSON.parse(contents) | |
}, | |
write(messages: Message[]) { | |
localStorage.setItem("history", JSON.stringify(messages)) | |
}, | |
} | |
function printChat(messages: Message[] | null) { | |
if (!messages || messages.length <= 1) { | |
console.log("no history found") | |
return | |
} | |
for (const msg of messages.slice(1)) { // skip system prompt | |
console.log(`# ${msg.role}\n\n${msg.content}\n`) | |
} | |
} | |
const getStdin = async () => new TextDecoder().decode(await readAll(Deno.stdin)).trim() | |
// === script starts here === | |
const args = flags.parse(Deno.args, { | |
boolean: ["help", "reply", "show", "append", "turbo"], | |
string: ["persona"], | |
alias: { h: "help", r: "reply", s: "show", a: "append", p: "persona", t: "turbo" }, | |
}) | |
if (args.help) { | |
console.log(HELP) | |
Deno.exit() | |
} | |
const history = History.read() | |
if (args.show) { | |
printChat(history) | |
Deno.exit() | |
} | |
const directInput = args._[0] | |
if (!directInput) { | |
console.log(HELP) | |
Deno.exit() | |
} | |
const persona = args.persona || | |
"experienced software engineer speaking to an experienced software engineer" | |
const systemMsg = { | |
role: "system", | |
content: `You are a ${persona}. Your answers are precise and avoid jargon and filler. | |
Answer only the question as asked. Your answers should be in markdown format.`, | |
} as const | |
const messages: Message[] = args.reply && history || [systemMsg] | |
// in append mode, take direct input and a piped document and jam them together | |
const input = args.append | |
? directInput + "\n\n" + (await getStdin()) | |
: (directInput === "-" ? await getStdin() : directInput.toString()) | |
messages.push({ role: "user", content: input }) | |
const openai = await getOpenAI() | |
try { | |
const model = args.turbo ? "gpt-3.5-turbo-1106" : "gpt-4-1106-preview" | |
const resp = await openai.chat.completions.create({ model, messages }) | |
const respMsg = resp.choices[0].message | |
if (respMsg) { | |
History.write([...messages, respMsg]) | |
console.log(respMsg.content) | |
} | |
} catch (e) { | |
if (e.response?.status) console.log("Request error:", e.response.status) | |
if (e.response?.data) console.log(jsonBlock(e.response.data)) | |
if (!("response" in e)) console.log(e) | |
} |
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# wraps passed-in lines in a markdown code block | |
function codeblock() { | |
if [ $# -lt 1 ]; then | |
echo "usage: codeblock [ext] [filename, - or blank for stdin]" | |
exit 1 | |
fi | |
echo "\`\`\`$1" | |
cat $2 | |
echo "\`\`\`" | |
} |
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