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import type { PipelineType } from "../pipelines.js";
import { getModelInputSnippet } from "./inputs.js";
import type { ModelDataMinimal } from "./types.js";
export const snippetBasic = (model: ModelDataMinimal, accessToken: string): string =>
`async function query(data) {
const response = await fetch(
"https://api-inference.huggingface.co/models/${model.id}",
{
headers: { Authorization: "Bearer ${accessToken || `{API_TOKEN}`}" },
method: "POST",
body: JSON.stringify(data),
}
);
const result = await response.json();
return result;
}
query({"inputs": ${getModelInputSnippet(model)}}).then((response) => {
console.log(JSON.stringify(response));
});`;
export const snippetZeroShotClassification = (model: ModelDataMinimal, accessToken: string): string =>
`async function query(data) {
const response = await fetch(
"https://api-inference.huggingface.co/models/${model.id}",
{
headers: { Authorization: "Bearer ${accessToken || `{API_TOKEN}`}" },
method: "POST",
body: JSON.stringify(data),
}
);
const result = await response.json();
return result;
}
query({"inputs": ${getModelInputSnippet(
model
)}, "parameters": {"candidate_labels": ["refund", "legal", "faq"]}}).then((response) => {
console.log(JSON.stringify(response));
});`;
export const snippetTextToImage = (model: ModelDataMinimal, accessToken: string): string =>
`async function query(data) {
const response = await fetch(
"https://api-inference.huggingface.co/models/${model.id}",
{
headers: { Authorization: "Bearer ${accessToken || `{API_TOKEN}`}" },
method: "POST",
body: JSON.stringify(data),
}
);
const result = await response.blob();
return result;
}
query({"inputs": ${getModelInputSnippet(model)}}).then((response) => {
// Use image
});`;
export const snippetTextToAudio = (model: ModelDataMinimal, accessToken: string): string => {
const commonSnippet = `async function query(data) {
const response = await fetch(
"https://api-inference.huggingface.co/models/${model.id}",
{
headers: { Authorization: "Bearer ${accessToken || `{API_TOKEN}`}" },
method: "POST",
body: JSON.stringify(data),
}
);`;
if (model.library_name === "transformers") {
return (
commonSnippet +
`
const result = await response.blob();
return result;
}
query({"inputs": ${getModelInputSnippet(model)}}).then((response) => {
// Returns a byte object of the Audio wavform. Use it directly!
});`
);
} else {
return (
commonSnippet +
`
const result = await response.json();
return result;
}
query({"inputs": ${getModelInputSnippet(model)}}).then((response) => {
console.log(JSON.stringify(response));
});`
);
}
};
export const snippetFile = (model: ModelDataMinimal, accessToken: string): string =>
`async function query(filename) {
const data = fs.readFileSync(filename);
const response = await fetch(
"https://api-inference.huggingface.co/models/${model.id}",
{
headers: { Authorization: "Bearer ${accessToken || `{API_TOKEN}`}" },
method: "POST",
body: data,
}
);
const result = await response.json();
return result;
}
query(${getModelInputSnippet(model)}).then((response) => {
console.log(JSON.stringify(response));
});`;
export const jsSnippets: Partial<Record<PipelineType, (model: ModelDataMinimal, accessToken: string) => string>> = {
// Same order as in js/src/lib/interfaces/Types.ts
"text-classification": snippetBasic,
"token-classification": snippetBasic,
"table-question-answering": snippetBasic,
"question-answering": snippetBasic,
"zero-shot-classification": snippetZeroShotClassification,
translation: snippetBasic,
summarization: snippetBasic,
"feature-extraction": snippetBasic,
"text-generation": snippetBasic,
"text2text-generation": snippetBasic,
"fill-mask": snippetBasic,
"sentence-similarity": snippetBasic,
"automatic-speech-recognition": snippetFile,
"text-to-image": snippetTextToImage,
"text-to-speech": snippetTextToAudio,
"text-to-audio": snippetTextToAudio,
"audio-to-audio": snippetFile,
"audio-classification": snippetFile,
"image-classification": snippetFile,
"image-to-text": snippetFile,
"object-detection": snippetFile,
"image-segmentation": snippetFile,
};
export function getJsInferenceSnippet(model: ModelDataMinimal, accessToken: string): string {
return model.pipeline_tag && model.pipeline_tag in jsSnippets
? jsSnippets[model.pipeline_tag]?.(model, accessToken) ?? ""
: "";
}
export function hasJsInferenceSnippet(model: ModelDataMinimal): boolean {
return !!model.pipeline_tag && model.pipeline_tag in jsSnippets;
}
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