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//load Candle Bert Module wasm module
import init, { Model } from "./build/m.js";
async function fetchArrayBuffer(url, cacheFile = true) {
if (!cacheFile) return new Uint8Array(await (await fetch(url)).arrayBuffer());
const cacheName = "blip-candle-cache";
const cache = await caches.open(cacheName);
const cachedResponse = await cache.match(url);
if (cachedResponse) {
const data = await cachedResponse.arrayBuffer();
return new Uint8Array(data);
}
const res = await fetch(url, { cache: "force-cache" });
cache.put(url, res.clone());
return new Uint8Array(await res.arrayBuffer());
}
class Blip {
static instance = {};
static async getInstance(
weightsURL,
tokenizerURL,
configURL,
modelID,
quantized
) {
if (!this.instance[modelID]) {
await init();
self.postMessage({ status: "loading", message: "Loading Model" });
const [weightsArrayU8, tokenizerArrayU8, configArrayU8] =
await Promise.all([
fetchArrayBuffer(weightsURL),
fetchArrayBuffer(tokenizerURL),
fetchArrayBuffer(configURL),
]);
this.instance[modelID] = new Model(
weightsArrayU8,
tokenizerArrayU8,
configArrayU8,
quantized
);
} else {
self.postMessage({ status: "ready", message: "Model Already Loaded" });
}
return this.instance[modelID];
}
}
self.addEventListener("message", async (event) => {
const { weightsURL, tokenizerURL, configURL, modelID, imageURL, quantized } =
event.data;
try {
self.postMessage({ status: "status", message: "Loading Blip Model..." });
const model = await Blip.getInstance(
weightsURL,
tokenizerURL,
configURL,
modelID,
quantized
);
self.postMessage({
status: "status",
message: "Running Blip Inference...",
});
const imageArrayU8 = await fetchArrayBuffer(imageURL, false);
const output = model.generate_caption_from_image(imageArrayU8);
self.postMessage({
status: "complete",
message: "complete",
output: output,
});
} catch (e) {
self.postMessage({ error: e });
}
});