// esm.sh
import { HfInference } from "https://esm.sh/@huggingface/hub"
// or npm:
import { HfInference } from "npm:@huggingface/hub"

import { createRepo, uploadFiles, deleteFile, deleteRepo, listFiles, whoAmI } from "@huggingface/hub";
import type { RepoDesignation, Credentials } from "@huggingface/hub";

const repo: RepoDesignation = { type: "model", name: "myname/some-model" };
const credentials: Credentials = { accessToken: "hf_..." };

const {name: username} = await whoAmI({credentials});

for await (const model of listModels({search: {owner: username}, credentials})) {
  console.log("My model:", model);
}

await createRepo({ repo, credentials, license: "mit" });

await uploadFiles({
  repo,
  credentials,
  files: [
    // path + blob content
    {
      path: "file.txt",
      content: new Blob(["Hello World"]),
    },
    // Local file URL
    pathToFileURL("./pytorch-model.bin"),
    // Web URL
    new URL("https://huggingface.co/xlm-roberta-base/resolve/main/tokenizer.json"),
    // Path + Web URL
    {
      path: "myfile.bin",
      content: new URL("https://huggingface.co/bert-base-uncased/resolve/main/pytorch_model.bin")
    }
    // Can also work with native File in browsers
  ],
});

await deleteFile({repo, credentials, path: "myfile.bin"});

await (await downloadFile({ repo, path: "README.md" })).text();

for await (const fileInfo of listFiles({repo})) {
  console.log(fileInfo);
}

await deleteRepo({ repo, credentials });