Upload utils.js

utils.js

@@ -0,0 +1,168 @@
+export async function extractEmbeddings(
+  worker,
+  weightsURL,
+  tokenizerURL,
+  configURL,
+  modelID,
+  sentences,
+  updateStatus,
+  normalize_embeddings
+) {
+  return new Promise((resolve, reject) => {
+    worker.postMessage({
+      weightsURL,
+      tokenizerURL,
+      configURL,
+      modelID,
+      sentences,
+      normalize_embeddings,
+    });
+    function messageHandler(event) {
+      if ("error" in event.data) {
+        worker.removeEventListener("message", messageHandler);
+        reject(new Error(event.data.error));
+      }
+      if (event.data.status === "complete") {
+        worker.removeEventListener("message", messageHandler);
+        resolve(event.data);
+      }
+      if (updateStatus) updateStatus(event.data);
+    }
+    worker.addEventListener("message", messageHandler);
+  });
+}
+
+export async function generateText(
+  worker,
+  weightsURL,
+  tokenizerURL,
+  configURL,
+  modelID,
+  prompt,
+  params,
+  updateStatus
+) {
+  return new Promise((resolve, reject) => {
+    worker.postMessage({
+      weightsURL,
+      tokenizerURL,
+      configURL,
+      modelID,
+      prompt,
+      params,
+    });
+    function messageHandler(event) {
+      if ("error" in event.data) {
+        worker.removeEventListener("message", messageHandler);
+        reject(new Error(event.data.error));
+      }
+      if (event.data.status === "complete") {
+        worker.removeEventListener("message", messageHandler);
+        resolve(event.data);
+      }
+      if (updateStatus) updateStatus(event.data);
+    }
+    worker.addEventListener("message", messageHandler);
+  });
+}
+export const MODELS = {
+  t5_small_quantized: {
+    size: "102 MB",
+    base_url: "https://huggingface.co/lmz/candle-quantized-t5/resolve/main/",
+    model: "model.gguf",
+    tokenizer: "tokenizer.json",
+    config: "config.json",
+    tasks: {
+      translation_en_to_de: {
+        prefix: "translate English to German: ",
+        max_length: 300,
+      },
+      translation_en_to_fr: {
+        prefix: "translate English to French: ",
+        max_length: 300,
+      },
+      translation_en_to_ro: {
+        prefix: "translate English to Romanian: ",
+        max_length: 300,
+      },
+      summarization: { prefix: "summarize: ", max_length: 200 },
+    },
+  },
+  t5_small: {
+    size: "242 MB",
+    base_url: "https://huggingface.co/t5-small/resolve/main/",
+    model: "model.safetensors",
+    tokenizer: "tokenizer.json",
+    config: "config.json",
+    tasks: {
+      translation_en_to_de: {
+        prefix: "translate English to German: ",
+        max_length: 300,
+      },
+      translation_en_to_fr: {
+        prefix: "translate English to French: ",
+        max_length: 300,
+      },
+      translation_en_to_ro: {
+        prefix: "translate English to Romanian: ",
+        max_length: 300,
+      },
+      summarization: { prefix: "summarize: ", max_length: 200 },
+    },
+  },
+  flan_t5_small: {
+    size: "308 MB",
+    base_url:
+      "https://huggingface.co/google/flan-t5-small/resolve/refs%2Fpr%2F14/",
+    model: "model.safetensors",
+    tokenizer: "tokenizer.json",
+    config: "config.json",
+    tasks: {
+      translation_en_to_de: {
+        prefix: "translate English to German: ",
+        max_length: 300,
+      },
+      translation_en_to_fr: {
+        prefix: "translate English to French: ",
+        max_length: 300,
+      },
+      translation_en_to_ro: {
+        prefix: "translate English to Romanian: ",
+        max_length: 300,
+      },
+      summarization: { prefix: "summarize: ", max_length: 200 },
+    },
+  },
+
+  flan_t5_base_quantized: {
+    size: "360 MB",
+    base_url: "https://huggingface.co/lmz/candle-quantized-t5/resolve/main/",
+    model: "model-flan-t5-base.gguf",
+    tokenizer: "tokenizer.json",
+    config: "config-flan-t5-base.json",
+    tasks: {
+      translation_en_to_de: {
+        prefix: "translate English to German: ",
+        max_length: 300,
+      },
+      translation_en_to_fr: {
+        prefix: "translate English to French: ",
+        max_length: 300,
+      },
+      translation_en_to_ro: {
+        prefix: "translate English to Romanian: ",
+        max_length: 300,
+      },
+      summarization: { prefix: "summarize: ", max_length: 200 },
+    },
+  },
+};
+export function getModelInfo(id, taskID) {
+  const model = MODELS[id];
+  return {
+    modelURL: model.base_url + model.model,
+    configURL: model.base_url + model.config,
+    tokenizerURL: model.base_url + model.tokenizer,
+    maxLength: model.tasks[taskID].max_length,
+  };
+}