@huggingface/inference
Version:
Typescript client for the Hugging Face Inference Providers and Inference Endpoints
79 lines (78 loc) • 3.21 kB
JavaScript
Object.defineProperty(exports, "__esModule", { value: true });
exports.HyperbolicTextToImageTask = exports.HyperbolicTextGenerationTask = exports.HyperbolicConversationalTask = void 0;
const omit_js_1 = require("../utils/omit.js");
const providerHelper_js_1 = require("./providerHelper.js");
const errors_js_1 = require("../errors.js");
const HYPERBOLIC_API_BASE_URL = "https://api.hyperbolic.xyz";
class HyperbolicConversationalTask extends providerHelper_js_1.BaseConversationalTask {
constructor() {
super("hyperbolic", HYPERBOLIC_API_BASE_URL);
}
}
exports.HyperbolicConversationalTask = HyperbolicConversationalTask;
class HyperbolicTextGenerationTask extends providerHelper_js_1.BaseTextGenerationTask {
constructor() {
super("hyperbolic", HYPERBOLIC_API_BASE_URL);
}
makeRoute() {
return "v1/chat/completions";
}
preparePayload(params) {
return {
messages: [{ content: params.args.inputs, role: "user" }],
...(params.args.parameters
? {
max_tokens: params.args.parameters.max_new_tokens,
...(0, omit_js_1.omit)(params.args.parameters, "max_new_tokens"),
}
: undefined),
...(0, omit_js_1.omit)(params.args, ["inputs", "parameters"]),
model: params.model,
};
}
async getResponse(response) {
if (typeof response === "object" &&
"choices" in response &&
Array.isArray(response?.choices) &&
typeof response?.model === "string") {
const completion = response.choices[0];
return {
generated_text: completion.message.content,
};
}
throw new errors_js_1.InferenceClientProviderOutputError("Received malformed response from Hyperbolic text generation API");
}
}
exports.HyperbolicTextGenerationTask = HyperbolicTextGenerationTask;
class HyperbolicTextToImageTask extends providerHelper_js_1.TaskProviderHelper {
constructor() {
super("hyperbolic", HYPERBOLIC_API_BASE_URL);
}
makeRoute(params) {
void params;
return `/v1/images/generations`;
}
preparePayload(params) {
return {
...(0, omit_js_1.omit)(params.args, ["inputs", "parameters"]),
...params.args.parameters,
prompt: params.args.inputs,
model_name: params.model,
};
}
async getResponse(response, url, headers, outputType) {
if (typeof response === "object" &&
"images" in response &&
Array.isArray(response.images) &&
response.images[0] &&
typeof response.images[0].image === "string") {
if (outputType === "url") {
return `data:image/jpeg;base64,${response.images[0].image}`;
}
return fetch(`data:image/jpeg;base64,${response.images[0].image}`).then((res) => res.blob());
}
throw new errors_js_1.InferenceClientProviderOutputError("Received malformed response from Hyperbolic text-to-image API");
}
}
exports.HyperbolicTextToImageTask = HyperbolicTextToImageTask;
;