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Glama
by microsoft
cast.genai.mjs2.86 kB
import { cast } from "genaiscript/runtime" script({ files: [ "genaisrc/cast.genai.mjs", "genaisrc/chunk.genai.mjs", "src/robots.jpg", ], }) const { data: res } = await cast("California", { type: "object", properties: { name: { type: "string", description: "The state's abbreviation" }, }, }) console.log(res) const { data: ress } = await cast( "The quick brown fox jumps over the lazy dog.; jumps", { type: "object", properties: { partOfSpeech: { type: "string" }, }, }, { instructions: `You will be presented with a sentence and a word contained in that sentence. You have to determine the part of speech for a given word and return just the tag for the word's part of speech. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb`, } ) console.log(ress) const { data: res2 } = await cast( env.files.filter(({ filename }) => !filename.endsWith(".jpg")), { type: "object", properties: { filename: { type: "string", description: "The name of the file", }, topic: { type: "string", description: "The topic of the file", }, keywords: { type: "array", items: { type: "string", }, description: "Keywords for the file", }, }, required: ["filename", "topic", "keywords"], }, { multiple: true } ) console.log(res2) const images = env.files.filter(({ filename }) => filename.endsWith(".jpg")) await cast((_) => _.defImages(images), { type: "object", properties: { keywords: { type: "array", items: { type: "string", description: "Keywords describing the objects on the image", }, }, }, required: ["keywords"], })

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