Ability to save resume and model

README.md

@@ -1,3 +1,10 @@
 # **N**otice **M**e **S**enpai
 
 Firefox addon to aid in applying to jobs.
+
+
+## Todo
+
+- Add option to keep model loaded vs load each time
+- model load progress monitoring in popup
+- allow file dropping on options ui

addon/manifest.json

@@ -14,7 +14,9 @@
         "browser_style": true
     },
     "background": {
-        "scripts": ["background/background.js"]
+        "scripts": [
+            "background/background.js"
+        ]
     },
     "options_ui": {
         "page": "options/options.html",
@@ -23,6 +25,16 @@
     "permissions": [
         "storage",
         "activeTab",
-        "contextMenus"
-    ]
+        "contextMenus",
+        "<all_urls>",
+        "webRequest",
+        "webRequestBlocking",
+        "downloads"
+    ],
+    "browser_specific_settings": {
+        "gecko": {
+            "id": "nms@cray.software",
+            "strict_min_version": "58.0"
+        }
+    }
 }

addon/options/options.html

@@ -11,14 +11,21 @@
         <p></p>
         <form>
             <div class="row">
-                <label for="resumeFile" class="col-4 form-label">Resume</label>
-                <em class="col-8 form-text text-end" id="resumeFileName">No Resume On File</em>
+                <label for="resume" class="col-4 form-label">Resume</label>
+                <em class="col-8 form-text text-end" id="resumeLastUpdated"></em>
             </div>
             <div class="row">
-            <input type="file" class="col-12 form-control" id="resumeFile" name="resumeFile" accept=".pdf"/>
+            <textarea id="resume" name="resume" class="col-12 form-control" rows="5" placeholder="Paste your resume here..."></textarea>
             </div>
-            <p></p>
+            <div class="row p-3"></div>
             <div class="row">
+                <label for="mlModel" class="col-4 form-label">Machine Learning Model</label>
+                <select class="col-12 form-select" id="mlModel" name="mlModel">
+                    <option value="Llama-3.2-1B-Instruct-q4f32_1-MLC">Llama 3.2 1B Instruct</option>
+                </select>
+            </div>
+            <div class="row p-3"></div>
+            <div class="row pb-5">
                 <div class="col-8"></div>
                 <input type="submit" class="col-4 btn" value="Save">
             </div>

background/background.js

@@ -1,3 +1,38 @@
+import { CreateMLCEngine } from "@mlc-ai/web-llm";
+
+var engine = null
+var resume = ""
+var resourcesLoaded = false
+
+const loadProgress = (progress) => {
+    console.dir(progress)
+    // Trigger popup and stream progress.timeElapsed
+}
+
+const loadResources = async () => {
+    let modelName = (await browser.storage.local.get("model")).model || "Llama-3.2-1B-Instruct-q4f32_1-MLC"
+    console.log(`Loading model: ${modelName}`)
+    engine = await CreateMLCEngine(modelName, { initProgressCallback: loadProgress });
+    console.log("Model loaded")
+    resume = (await browser.storage.local.get("resume")).resume || "No resume, halt and ask for resume."
+    resourcesLoaded = true
+}
+
+const runMatch = async (inputText) => {
+    console.log("Run Match")
+    if (!resourcesLoaded) await loadResources()
+    const query = [
+        { role: "system", content: "You are a resume-job description matching assistant." },
+        { role: "user", content: `This is my resume: ${resume}` },
+        { role: "user", content: `This is the job description: ${inputText}` }
+    ]
+    const response = await engine.chat.completions.create({
+        messages: query
+    })
+
+    console.dir(response)
+
+}
 
 // Add context menu items
 browser.contextMenus.create({
@@ -10,5 +45,6 @@ browser.contextMenus.onClicked.addListener((info, tab) => {
     if (info.menuItemId === "nms-cmenu" && info.selectionText) {
         // Handle context menu click with selected text
         console.log("Context menu clicked with selection:", info.selectionText);
+        runMatch(info.selectionText)
     }
 })

libs/base64.js

@@ -0,0 +1,26 @@
+// Base64 UTF-8 Encode/Decode Utility Functions
+// Source: https://www.digitalocean.com/community/tutorials/how-to-encode-and-decode-strings-with-base64-in-javascript
+
+
+module.exports = {
+    // Function to encode a UTF-8 string to Base64
+    utf8ToBase64: (str) => {
+        const encoder = new TextEncoder()
+        const data = encoder.encode(str)
+
+        const binaryString = String.fromCharCode.apply(null, data)
+        return btoa(binaryString)
+    },
+
+    // Function to decode a Base64 string to UTF-8
+    base64ToUtf8: (b64) => {
+        const binaryString = atob(b64)
+        // Create a Uint8Array from the binary string.
+        const bytes = new Uint8Array(binaryString.length)
+        for (let i = 0 ; i < binaryString.length ; i++) {
+            bytes[i] = binaryString.charCodeAt(i)
+        }
+        const decoder = new TextDecoder()
+        return decoder.decode(bytes)
+    }
+}

options/options.js

@@ -1 +1,44 @@
-import "../style.scss";
+import "../style.scss"
+import * as base64 from "../libs/base64.js"
+
+const saveOptions = async (saveEvent) => {
+    saveEvent.preventDefault()
+    if (document.querySelector("#resume").value !== "" && (await browser.storage.local.get("resume")).resume !== base64.utf8ToBase64(document.querySelector("#resume").value)) {
+        const LastEdited = new Date().toLocaleString()
+        browser.storage.local.set({
+            resume: base64.utf8ToBase64(document.querySelector("#resume").value),
+            lastEdited: LastEdited
+        })
+        document.querySelector("#resumeLastUpdated").textContent = `Last Edited: ${LastEdited}`
+    }
+
+    browser.storage.local.set({
+        model: document.querySelector("#mlModel").value
+    })
+}
+
+const restoreOptions = async () => {
+    const defaultModel = "Llama-3.2-1B-Instruct-q4f32_1-MLC"
+    try {
+        let resume = await browser.storage.local.get("resume")
+        if (resume.resume) {
+            document.querySelector("#resume").textContent = base64.base64ToUtf8(resume.resume)
+            let lastEdited = await browser.storage.local.get("lastEdited")
+            if (lastEdited.lastEdited) {
+                document.querySelector("#resumeLastUpdated").textContent = `Last Edited: ${lastEdited.lastEdited}`
+            }
+        }
+
+        let model = await browser.storage.local.get("model") || defaultModel
+        model = model === "" ? defaultModel : model
+        // document.querySelector("#mlModel").value = model
+        document.querySelectorAll("#mlModel.option").forEach((element) => {
+            element.selected = (element.value === model)
+        })
+    } catch (error) {
+        console.error("Error restoring options:", error)
+    }
+}
+
+document.addEventListener("DOMContentLoaded", restoreOptions)
+document.querySelector("form").addEventListener("submit", saveOptions)

package-lock.json

@@ -9,6 +9,7 @@
       "version": "1.0.0",
       "license": "MPL-2.0",
       "dependencies": {
+        "@mlc-ai/web-llm": "^0.2.79",
         "bootstrap": "^5.3.8",
         "css-loader": "^7.1.2",
         "nord": "^0.2.1",
@@ -73,6 +74,15 @@
         "@jridgewell/sourcemap-codec": "^1.4.14"
       }
     },
+    "node_modules/@mlc-ai/web-llm": {
+      "version": "0.2.79",
+      "resolved": "https://registry.npmjs.org/@mlc-ai/web-llm/-/web-llm-0.2.79.tgz",
+      "integrity": "sha512-Hy1ZHQ0o2bZGZoVnGK48+fts/ZSKwLe96xjvqL/6C59Mem9HoHTcFE07NC2E23mRmhd01tL655N6CPeYmwWgwQ==",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "loglevel": "^1.9.1"
+      }
+    },
     "node_modules/@parcel/watcher": {
       "version": "2.5.1",
       "resolved": "https://registry.npmjs.org/@parcel/watcher/-/watcher-2.5.1.tgz",
@@ -1303,6 +1313,19 @@
         "node": ">=8"
       }
     },
+    "node_modules/loglevel": {
+      "version": "1.9.2",
+      "resolved": "https://registry.npmjs.org/loglevel/-/loglevel-1.9.2.tgz",
+      "integrity": "sha512-HgMmCqIJSAKqo68l0rS2AanEWfkxaZ5wNiEFb5ggm08lDs9Xl2KxBlX3PTcaD2chBM1gXAYf491/M2Rv8Jwayg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.6.0"
+      },
+      "funding": {
+        "type": "tidelift",
+        "url": "https://tidelift.com/funding/github/npm/loglevel"
+      }
+    },
     "node_modules/merge-stream": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/merge-stream/-/merge-stream-2.0.0.tgz",

package.json

@@ -12,6 +12,7 @@
     "build": "webpack"
   },
   "dependencies": {
+    "@mlc-ai/web-llm": "^0.2.79",
     "bootstrap": "^5.3.8",
     "css-loader": "^7.1.2",
     "nord": "^0.2.1",

webpack.config.js

@@ -11,7 +11,7 @@ module.exports = {
 		filename: "[name]/[name].js"
 	},
 	mode: "none",
-	watch: true,
+	watch: false,
 	watchOptions: {
     ignored: '**/node_modules',
   },