From e057cebf4c030086f8751a19da12aac813f46b3a Mon Sep 17 00:00:00 2001 From: SUMAN JANA Date: Mon, 23 Feb 2026 17:40:58 +0530 Subject: [PATCH 1/2] feat: enhance chat functionality with image analysis and markdown support - Updated build script to include TypeScript compilation for Electron. - Added new Electron API methods for analyzing images and chatting with images. - Integrated React Markdown for rendering chat messages with support for code blocks. - Implemented language detection for code snippets in chat messages. - Added a toggle to attach the latest screenshot to chat messages. - Improved UI for chat input and loading states. --- .gitignore | 2 + electron/LLMHelper.ts | 125 ++- electron/ProcessingHelper.ts | 21 +- electron/WindowHelper.ts | 28 +- electron/ipcHandlers.ts | 12 + electron/preload.ts | 4 +- package-lock.json | 1636 ++++++++++++++++++++++++++++++++-- package.json | 8 +- src/App.tsx | 2 + src/_pages/Queue.tsx | 246 ++++- src/types/electron.d.ts | 4 +- 11 files changed, 1950 insertions(+), 138 deletions(-) diff --git a/.gitignore b/.gitignore index b9037da3..284d104b 100644 --- a/.gitignore +++ b/.gitignore @@ -136,3 +136,5 @@ dist .yarn/build-state.yml .yarn/install-state.gz .pnp.* + +release \ No newline at end of file diff --git a/electron/LLMHelper.ts b/electron/LLMHelper.ts index 5edd592b..d2d99185 100644 --- a/electron/LLMHelper.ts +++ b/electron/LLMHelper.ts @@ -8,7 +8,16 @@ interface OllamaResponse { export class LLMHelper { private model: GenerativeModel | null = null - private readonly systemPrompt = `You are Wingman AI, a helpful, proactive assistant for any kind of problem or situation (not just coding). For any user input, analyze the situation, provide a clear problem statement, relevant context, and suggest several possible responses or actions the user could take next. Always explain your reasoning. Present your suggestions as a list of options or next steps.` + private readonly systemPrompt = `You are Wingman AI, an elite LeetCode and competitive-programming coding assistant. + +Default behavior for coding tasks (text or screenshot): +- Solve directly. Do not ask clarification questions. +- Detect and follow the target language from user text or screenshot editor panel. +- Preserve the exact signature/style expected by the platform (LeetCode-style method/class wrapper when shown). +- Return ONLY the final code the user should paste. +- Never include markdown fences, explanation, complexity, comments, or extra prose unless strict JSON is explicitly requested. + +If a later instruction requires strict JSON output, follow that instruction exactly and do not add markdown wrappers or extra text.` private useOllama: boolean = false private ollamaModel: string = "llama3.2" private ollamaUrl: string = "http://localhost:11434" @@ -50,6 +59,60 @@ export class LLMHelper { return text; } + private cleanCodeResponse(text: string): string { + const fencedBlockMatch = text.match(/```(?:[\w.+-]+)?\s*([\s\S]*?)```/) + if (fencedBlockMatch?.[1]) { + return fencedBlockMatch[1].trim() + } + + return text + .replace(/^```[\w.+-]*\s*/g, "") + .replace(/\s*```$/g, "") + .trim() + } + + private isLikelyCode(text: string): boolean { + const candidate = text.trim() + if (!candidate) return false + + if (/^#include\s+/m.test(candidate) || /\busing namespace\b/m.test(candidate)) { + return true + } + + if (/\b(class|def|function|public|private|protected|return|if|for|while|switch)\b/m.test(candidate)) { + return true + } + + if (/[{};]/.test(candidate)) { + return true + } + + return false + } + + private buildChatPrompt(message: string): string { + return `${this.systemPrompt}\n\nUser message:\n${message}\n\nIf this is a coding request, output only the final function/method code.` + } + + private buildLeetCodeVisionPrompt(userInstruction?: string): string { + const normalizedInstruction = userInstruction?.trim() + + return `${this.systemPrompt} + +You are given a screenshot/image of a coding problem (typically LeetCode/competitive programming) and optional user instruction. +Read the full prompt from the image: statement, constraints, examples, and starter/editor code. +Infer the expected language and required function or method signature from the screenshot/editor panel. + +Output rules: +- Output EXACTLY the final function/method implementation to paste. +- Keep the expected function/class wrapper style if the screenshot shows it. +- No explanation, no questions, no markdown, no extra text. +- If user instruction asks for a specific optimization or style, apply it while keeping output format strict. + +User instruction: +${normalizedInstruction || "Solve the problem from the image with the exact final function only."}` + } + private async callOllama(prompt: string): Promise { try { const response = await fetch(`${this.ollamaUrl}/api/generate`, { @@ -235,17 +298,10 @@ export class LLMHelper { public async analyzeImageFile(imagePath: string) { try { - const imageData = await fs.promises.readFile(imagePath); - const imagePart = { - inlineData: { - data: imageData.toString("base64"), - mimeType: "image/png" - } - }; - const prompt = `${this.systemPrompt}\n\nDescribe the content of this image in a short, concise answer. In addition to your main answer, suggest several possible actions or responses the user could take next based on the image. Do not return a structured JSON object, just answer naturally as you would to a user. Be concise and brief.`; - const result = await this.model.generateContent([prompt, imagePart]); - const response = await result.response; - const text = response.text(); + const text = await this.chatWithImage( + "Solve this LeetCode/competitive programming problem from the screenshot.", + imagePath + ) return { text, timestamp: Date.now() }; } catch (error) { console.error("Error analyzing image file:", error); @@ -253,14 +309,51 @@ export class LLMHelper { } } + public async chatWithImage(message: string, imagePath: string): Promise { + if (!imagePath) { + throw new Error("Image path is required for image-based chat") + } + + if (this.useOllama) { + throw new Error( + "Image + prompt solving currently requires Gemini. Switch provider to Gemini in Models." + ) + } + + if (!this.model) { + throw new Error("No Gemini model configured for image analysis") + } + + const imagePart = await this.fileToGenerativePart(imagePath) + const prompt = this.buildLeetCodeVisionPrompt(message) + const result = await this.model.generateContent([prompt, imagePart]) + const response = await result.response + let code = this.cleanCodeResponse(response.text()) + + // If the model drifts into prose, force one strict retry to return only code. + if (!this.isLikelyCode(code)) { + const retryPrompt = `${prompt} + +Your previous output was not valid code-only output. +Return ONLY the final code now. No prose.` + const retryResult = await this.model.generateContent([retryPrompt, imagePart]) + const retryResponse = await retryResult.response + code = this.cleanCodeResponse(retryResponse.text()) + } + + return code + } + public async chatWithGemini(message: string): Promise { try { + const prompt = this.buildChatPrompt(message) if (this.useOllama) { - return this.callOllama(message); + const text = await this.callOllama(prompt) + return this.cleanCodeResponse(text) } else if (this.model) { - const result = await this.model.generateContent(message); + const result = await this.model.generateContent(prompt); const response = await result.response; - return response.text(); + return this.cleanCodeResponse(response.text()); } else { throw new Error("No LLM provider configured"); } @@ -357,4 +450,4 @@ export class LLMHelper { return { success: false, error: error.message }; } } -} \ No newline at end of file +} diff --git a/electron/ProcessingHelper.ts b/electron/ProcessingHelper.ts index ec8bde44..47895090 100644 --- a/electron/ProcessingHelper.ts +++ b/electron/ProcessingHelper.ts @@ -3,8 +3,27 @@ import { AppState } from "./main" import { LLMHelper } from "./LLMHelper" import dotenv from "dotenv" +import fs from "fs" +import path from "path" + +const loadEnv = () => { + const envPaths = [ + path.resolve(process.cwd(), ".env"), + path.resolve(path.dirname(process.execPath), ".env"), + path.resolve(process.resourcesPath || "", ".env") + ] + + for (const envPath of envPaths) { + if (envPath && fs.existsSync(envPath)) { + dotenv.config({ path: envPath }) + return + } + } + + dotenv.config() +} -dotenv.config() +loadEnv() const isDev = process.env.NODE_ENV === "development" const isDevTest = process.env.IS_DEV_TEST === "true" diff --git a/electron/WindowHelper.ts b/electron/WindowHelper.ts index 53659f06..5cced928 100644 --- a/electron/WindowHelper.ts +++ b/electron/WindowHelper.ts @@ -15,6 +15,7 @@ export class WindowHelper { private windowPosition: { x: number; y: number } | null = null private windowSize: { width: number; height: number } | null = null private appState: AppState + private hasLoggedMacCaptureWarning: boolean = false // Initialize with explicit number type and 0 value private screenWidth: number = 0 @@ -27,6 +28,24 @@ export class WindowHelper { this.appState = appState } + private applyCaptureProtection(context: string): void { + if (!this.mainWindow || this.mainWindow.isDestroyed()) return + + this.mainWindow.setContentProtection(true) + const protectedNow = (this.mainWindow as any).isContentProtected?.() + if (protectedNow === false) { + console.warn(`[WindowHelper] Content protection could not be enabled (${context}).`) + return + } + + if (process.platform === "darwin" && !this.hasLoggedMacCaptureWarning) { + console.warn( + "[WindowHelper] Content protection is enabled. Note: Some macOS apps using ScreenCaptureKit may still capture visible windows." + ) + this.hasLoggedMacCaptureWarning = true + } + } + public setWindowDimensions(width: number, height: number): void { if (!this.mainWindow || this.mainWindow.isDestroyed()) return @@ -99,7 +118,7 @@ export class WindowHelper { this.mainWindow = new BrowserWindow(windowSettings) // this.mainWindow.webContents.openDevTools() - this.mainWindow.setContentProtection(true) + this.applyCaptureProtection("createWindow") if (process.platform === "darwin") { this.mainWindow.setVisibleOnAllWorkspaces(true, { @@ -128,6 +147,7 @@ export class WindowHelper { if (this.mainWindow) { // Center the window first this.centerWindow() + this.applyCaptureProtection("ready-to-show") this.mainWindow.show() this.mainWindow.focus() this.mainWindow.setAlwaysOnTop(true) @@ -164,6 +184,10 @@ export class WindowHelper { } }) + this.mainWindow.on("show", () => { + this.applyCaptureProtection("show-event") + }) + this.mainWindow.on("closed", () => { this.mainWindow = null this.isWindowVisible = false @@ -209,6 +233,7 @@ export class WindowHelper { } this.mainWindow.showInactive() + this.applyCaptureProtection("showMainWindow") this.isWindowVisible = true } @@ -260,6 +285,7 @@ export class WindowHelper { } this.centerWindow() + this.applyCaptureProtection("centerAndShowWindow") this.mainWindow.show() this.mainWindow.focus() this.mainWindow.setAlwaysOnTop(true) diff --git a/electron/ipcHandlers.ts b/electron/ipcHandlers.ts index 2f119360..78c4cf3e 100644 --- a/electron/ipcHandlers.ts +++ b/electron/ipcHandlers.ts @@ -113,6 +113,18 @@ export function initializeIpcHandlers(appState: AppState): void { } }); + ipcMain.handle("gemini-chat-with-image", async (_, message: string, imagePath: string) => { + try { + const result = await appState.processingHelper + .getLLMHelper() + .chatWithImage(message, imagePath) + return result + } catch (error: any) { + console.error("Error in gemini-chat-with-image handler:", error) + throw error + } + }) + ipcMain.handle("quit-app", () => { app.quit() }) diff --git a/electron/preload.ts b/electron/preload.ts index 7c122586..536de247 100644 --- a/electron/preload.ts +++ b/electron/preload.ts @@ -32,7 +32,8 @@ interface ElectronAPI { moveWindowDown: () => Promise analyzeAudioFromBase64: (data: string, mimeType: string) => Promise<{ text: string; timestamp: number }> analyzeAudioFile: (path: string) => Promise<{ text: string; timestamp: number }> - analyzeImageFile: (path: string) => Promise + analyzeImageFile: (path: string) => Promise<{ text: string; timestamp: number }> + chatWithImage: (message: string, imagePath: string) => Promise quitApp: () => Promise // LLM Model Management @@ -178,6 +179,7 @@ contextBridge.exposeInMainWorld("electronAPI", { analyzeAudioFromBase64: (data: string, mimeType: string) => ipcRenderer.invoke("analyze-audio-base64", data, mimeType), analyzeAudioFile: (path: string) => ipcRenderer.invoke("analyze-audio-file", path), analyzeImageFile: (path: string) => ipcRenderer.invoke("analyze-image-file", path), + chatWithImage: (message: string, imagePath: string) => ipcRenderer.invoke("gemini-chat-with-image", message, imagePath), quitApp: () => ipcRenderer.invoke("quit-app"), // LLM Model Management diff --git a/package-lock.json b/package-lock.json index b4fa85b3..c70dd636 100644 --- a/package-lock.json +++ b/package-lock.json @@ -18,14 +18,17 @@ "class-variance-authority": "^0.7.0", "clsx": "^2.1.1", "diff": "^7.0.0", + "dotenv": "^17.3.1", "form-data": "^4.0.1", "lucide-react": "^0.460.0", "react": "^18.3.1", "react-code-blocks": "^0.1.6", "react-dom": "^18.3.1", "react-icons": "^5.3.0", + "react-markdown": "^10.1.0", "react-query": "^3.39.3", "react-syntax-highlighter": "^15.6.1", + "remark-gfm": "^4.0.1", "screenshot-desktop": "^1.15.0", "sharp": "^0.33.5", "tailwind-merge": "^2.5.4", @@ -3026,7 +3029,6 @@ "version": "4.1.12", "resolved": 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+ "node_modules/@types/mdast": { + "version": "4.0.4", + "resolved": "https://registry.npmjs.org/@types/mdast/-/mdast-4.0.4.tgz", + "integrity": "sha512-kGaNbPh1k7AFzgpud/gMdvIm5xuECykRR+JnWKQno9TAXVa6WIVCGTPvYGekIDL4uwCZQSYbUxNBSb1aUo79oA==", + "dependencies": { + "@types/unist": "*" + } + }, "node_modules/@types/ms": { "version": "2.1.0", "resolved": "https://registry.npmjs.org/@types/ms/-/ms-2.1.0.tgz", "integrity": "sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA==", - "dev": true, "license": "MIT" }, "node_modules/@types/node": { @@ -3133,14 +3149,12 @@ "version": "15.7.15", "resolved": "https://registry.npmjs.org/@types/prop-types/-/prop-types-15.7.15.tgz", "integrity": "sha512-F6bEyamV9jKGAFBEmlQnesRPGOQqS2+Uwi0Em15xenOxHaf2hv6L8YCVn3rPdPJOiJfPiCnLIRyvwVaqMY3MIw==", - "devOptional": true, "license": "MIT" }, "node_modules/@types/react": { "version": "18.3.24", "resolved": "https://registry.npmjs.org/@types/react/-/react-18.3.24.tgz", 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+5160,27 @@ } } }, + "node_modules/decode-named-character-reference": { + "version": "1.3.0", + "resolved": "https://registry.npmjs.org/decode-named-character-reference/-/decode-named-character-reference-1.3.0.tgz", + "integrity": "sha512-GtpQYB283KrPp6nRw50q3U9/VfOutZOe103qlN7BPP6Ad27xYnOIWv4lPzo8HCAL+mMZofJ9KEy30fq6MfaK6Q==", + "dependencies": { + "character-entities": "^2.0.0" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } + }, + "node_modules/decode-named-character-reference/node_modules/character-entities": { + "version": "2.0.2", + "resolved": "https://registry.npmjs.org/character-entities/-/character-entities-2.0.2.tgz", + "integrity": "sha512-shx7oQ0Awen/BRIdkjkvz54PnEEI/EjwXDSIZp86/KKdbafHh1Df/RYGBhn4hbe2+uKC9FnT5UCEdyPz3ai9hQ==", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } + }, "node_modules/decompress-response": { "version": "6.0.0", "resolved": "https://registry.npmjs.org/decompress-response/-/decompress-response-6.0.0.tgz", @@ -5216,6 +5295,14 @@ "dev": true, "license": "MIT" }, + "node_modules/dequal": { + "version": "2.0.3", + "resolved": "https://registry.npmjs.org/dequal/-/dequal-2.0.3.tgz", + "integrity": "sha512-0je+qPKHEMohvfRTCEo3CrPG6cAzAYgmzKyxRiYSSDkS6eGJdyVJm7WaYA5ECaAD9wLB2T4EEeymA5aFVcYXCA==", + "engines": { + "node": ">=6" + } + }, "node_modules/detect-libc": { "version": "2.0.4", "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-2.0.4.tgz", @@ -5237,6 +5324,18 @@ "integrity": "sha512-ypdmJU/TbBby2Dxibuv7ZLW3Bs1QEmM7nHjEANfohJLvE0XVujisn1qPJcZxg+qDucsr+bP6fLD1rPS3AhJ7EQ==", "license": "MIT" }, + "node_modules/devlop": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/devlop/-/devlop-1.1.0.tgz", + "integrity": "sha512-RWmIqhcFf1lRYBvNmr7qTNuyCt/7/ns2jbpp1+PalgE/rDQcBT0fioSMUpJ93irlUhC5hrg4cYqe6U+0ImW0rA==", + "dependencies": { + "dequal": "^2.0.0" + }, + "funding": { + "type": 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"unist-util-visit-parents": "^6.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/unist-util-visit-parents": { + "version": "6.0.2", + "resolved": "https://registry.npmjs.org/unist-util-visit-parents/-/unist-util-visit-parents-6.0.2.tgz", + "integrity": "sha512-goh1s1TBrqSqukSc8wrjwWhL0hiJxgA8m4kFxGlQ+8FYQ3C/m11FcTs4YYem7V664AhHVvgoQLk890Ssdsr2IQ==", + "dependencies": { + "@types/unist": "^3.0.0", + "unist-util-is": "^6.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/unist-util-visit-parents/node_modules/@types/unist": { + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/@types/unist/-/unist-3.0.3.tgz", + "integrity": "sha512-ko/gIFJRv177XgZsZcBwnqJN5x/Gien8qNOn0D5bQU/zAzVf9Zt3BlcUiLqhV9y4ARk0GbT3tnUiPNgnTXzc/Q==" + }, + "node_modules/unist-util-visit/node_modules/@types/unist": { + "version": "3.0.3", + "resolved": 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"sha512-QTHzsGd1EhbZs4AsQ20JX1rC3cOlt/IWJruk893DfLRr57lcnOeMaWG4K0JrRta4mIJZKth2Au3mM3u03/JWKw==", + "dependencies": { + "@types/unist": "^3.0.0", + "unist-util-stringify-position": "^4.0.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/unified" + } + }, + "node_modules/vfile-message/node_modules/@types/unist": { + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/@types/unist/-/unist-3.0.3.tgz", + "integrity": "sha512-ko/gIFJRv177XgZsZcBwnqJN5x/Gien8qNOn0D5bQU/zAzVf9Zt3BlcUiLqhV9y4ARk0GbT3tnUiPNgnTXzc/Q==" + }, + "node_modules/vfile/node_modules/@types/unist": { + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/@types/unist/-/unist-3.0.3.tgz", + "integrity": "sha512-ko/gIFJRv177XgZsZcBwnqJN5x/Gien8qNOn0D5bQU/zAzVf9Zt3BlcUiLqhV9y4ARk0GbT3tnUiPNgnTXzc/Q==" + }, "node_modules/vite": { "version": "5.4.20", "resolved": "https://registry.npmjs.org/vite/-/vite-5.4.20.tgz", @@ -11153,6 +12636,15 @@ "peerDependencies": { "zod": "^3.24.1" } + }, + "node_modules/zwitch": { + "version": "2.0.4", + "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz", + "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } } } } diff --git a/package.json b/package.json index c3ca446c..680b1073 100644 --- a/package.json +++ b/package.json @@ -5,7 +5,7 @@ "scripts": { "clean": "rimraf dist dist-electron", "dev": "vite", - "build": "npm run clean && tsc && vite build", + "build": "npm run clean && tsc && tsc -p electron/tsconfig.json && vite build", "preview": "vite preview", "postinstall": "cross-env SHARP_IGNORE_GLOBAL_LIBVIPS=1 npm rebuild sharp", "electron:dev": "tsc -p electron/tsconfig.json && cross-env NODE_ENV=development electron .", @@ -67,7 +67,8 @@ } ], "icon": "assets/icons/win/icon.ico", - "requestedExecutionLevel": "asInvoker" + "requestedExecutionLevel": "asInvoker", + "signAndEditExecutable": false }, "linux": { "target": [ @@ -142,14 +143,17 @@ "class-variance-authority": "^0.7.0", "clsx": "^2.1.1", "diff": "^7.0.0", + "dotenv": "^17.3.1", "form-data": "^4.0.1", "lucide-react": "^0.460.0", "react": "^18.3.1", "react-code-blocks": "^0.1.6", "react-dom": "^18.3.1", "react-icons": "^5.3.0", + "react-markdown": "^10.1.0", "react-query": "^3.39.3", "react-syntax-highlighter": "^15.6.1", + "remark-gfm": "^4.0.1", "screenshot-desktop": "^1.15.0", "sharp": "^0.33.5", "tailwind-merge": "^2.5.4", diff --git a/src/App.tsx b/src/App.tsx index 7712f684..629352cf 100644 --- a/src/App.tsx +++ b/src/App.tsx @@ -42,6 +42,8 @@ declare global { // Audio Processing analyzeAudioFromBase64: (data: string, mimeType: string) => Promise<{ text: string; timestamp: number }> analyzeAudioFile: (path: string) => Promise<{ text: string; timestamp: number }> + analyzeImageFile: (path: string) => Promise<{ text: string; timestamp: number }> + chatWithImage: (message: string, imagePath: string) => Promise moveWindowLeft: () => Promise moveWindowRight: () => Promise diff --git a/src/_pages/Queue.tsx b/src/_pages/Queue.tsx index a62912ef..218b07f6 100644 --- a/src/_pages/Queue.tsx +++ b/src/_pages/Queue.tsx @@ -1,5 +1,10 @@ import React, { useState, useEffect, useRef } from "react" import { useQuery } from "react-query" +import ReactMarkdown from "react-markdown" +import type { Components } from "react-markdown" +import remarkGfm from "remark-gfm" +import { Prism as SyntaxHighlighter } from "react-syntax-highlighter" +import { oneLight } from "react-syntax-highlighter/dist/esm/styles/prism" import ScreenshotQueue from "../components/Queue/ScreenshotQueue" import { Toast, @@ -15,6 +20,133 @@ interface QueueProps { setView: React.Dispatch> } +const detectCodeLanguage = (content: string): string => { + if (/(#include\s*<|std::|vector<|unordered_map<|using\s+namespace\s+std)/.test(content)) { + return "cpp" + } + if (/(^\s*def\s+\w+\(|^\s*import\s+\w+|^\s*from\s+\w+\s+import\s+)/m.test(content)) { + return "python" + } + if (/(^\s*(const|let|var)\s+\w+|console\.log\(|=>\s*{?|function\s+\w+\()/m.test(content)) { + return "javascript" + } + if (/(^\s*public\s+class\s+\w+|System\.out\.println|^\s*class\s+\w+\s*{)/m.test(content)) { + return "java" + } + if (/(^\s*func\s+\w+\(|^\s*package\s+main|fmt\.)/m.test(content)) { + return "go" + } + if (/(^\s*fn\s+\w+\(|^\s*let\s+mut\s+\w+)/m.test(content)) { + return "rust" + } + return "text" +} + +const isLikelyPlainCodeBlock = (content: string): boolean => { + const trimmed = content.trim() + if (!trimmed || trimmed.startsWith("```")) return false + + const lines = trimmed.split("\n").map((line) => line.trim()).filter(Boolean) + if (lines.length < 3) return false + + const codeLikeLines = lines.filter((line) => + /[{};]$|^\s*#include|^\s*(class|def|function|public:|private:|protected:|return|if|for|while|switch)\b|^\s*\w[\w:<>,\s*&]*\s+\w+\s*\([^)]*\)\s*\{?$/.test( + line + ) + ) + + return codeLikeLines.length >= Math.max(2, Math.floor(lines.length * 0.35)) +} + +const chatMarkdownComponents: Components = { + p: ({ children }) => ( +

{children}

+ ), + ul: ({ children }) => ( +
    {children}
+ ), + ol: ({ children }) => ( +
    {children}
+ ), + li: ({ children }) =>
  • {children}
    • , + a: ({ href, children }) => ( + + {children} + + ), + pre: ({ children }) => <>{children}, + code: ({ className, children }) => { + const languageMatch = /language-(\w+)/.exec(className || "") + const codeText = String(children).replace(/\n$/, "") + const isBlock = Boolean(languageMatch) || codeText.includes("\n") + + if (!isBlock) { + return ( + + {children} + + ) + } + + return ( +
    + + {codeText} + +
    + ) + } +} + +const ChatMarkdown = ({ content }: { content: string }) => ( +
    + {isLikelyPlainCodeBlock(content) ? ( +
    + + {content.trim()} + +
    + ) : ( + + {content} + + )} +
    +) + const Queue: React.FC = ({ setView }) => { const [toastOpen, setToastOpen] = useState(false) const [toastMessage, setToastMessage] = useState({ @@ -31,6 +163,7 @@ const Queue: React.FC = ({ setView }) => { const [chatMessages, setChatMessages] = useState<{role: "user"|"gemini", text: string}[]>([]) const [chatLoading, setChatLoading] = useState(false) const [isChatOpen, setIsChatOpen] = useState(false) + const [attachLatestScreenshot, setAttachLatestScreenshot] = useState(true) const chatInputRef = useRef(null) const [isSettingsOpen, setIsSettingsOpen] = useState(false) @@ -87,15 +220,44 @@ const Queue: React.FC = ({ setView }) => { } const handleChatSend = async () => { - if (!chatInput.trim()) return - setChatMessages((msgs) => [...msgs, { role: "user", text: chatInput }]) + const trimmedInput = chatInput.trim() + const latestScreenshotPath = + screenshots.length > 0 ? screenshots[screenshots.length - 1].path : "" + const shouldAttachImage = attachLatestScreenshot && Boolean(latestScreenshotPath) + + if (!trimmedInput && !shouldAttachImage) return + + setChatMessages((msgs) => [ + ...msgs, + { + role: "user", + text: shouldAttachImage + ? `${trimmedInput || "Solve the attached screenshot."}\n[Attached: latest screenshot]` + : trimmedInput + } + ]) setChatLoading(true) setChatInput("") try { - const response = await window.electronAPI.invoke("gemini-chat", chatInput) + const response = shouldAttachImage + ? await window.electronAPI.invoke( + "gemini-chat-with-image", + trimmedInput, + latestScreenshotPath + ) + : await window.electronAPI.invoke("gemini-chat", trimmedInput) + setChatMessages((msgs) => [...msgs, { role: "gemini", text: response }]) } catch (err) { - setChatMessages((msgs) => [...msgs, { role: "gemini", text: "Error: " + String(err) }]) + const errorText = String(err) + const hint = + shouldAttachImage && + (errorText.includes("No handler registered") || + errorText.includes("No handler") || + errorText.includes("No listeners registered")) + ? " Image chat route is not loaded. Restart the app once." + : "" + setChatMessages((msgs) => [...msgs, { role: "gemini", text: "Error: " + errorText + hint }]) } finally { setChatLoading(false) chatInputRef.current?.focus() @@ -163,33 +325,6 @@ const Queue: React.FC = ({ setView }) => { } }, [isTooltipVisible, tooltipHeight]) - // Seamless screenshot-to-LLM flow - useEffect(() => { - // Listen for screenshot taken event - const unsubscribe = window.electronAPI.onScreenshotTaken(async (data) => { - // Refetch screenshots to update the queue - await refetch(); - // Show loading in chat - setChatLoading(true); - try { - // Get the latest screenshot path - const latest = data?.path || (Array.isArray(data) && data.length > 0 && data[data.length - 1]?.path); - if (latest) { - // Call the LLM to process the screenshot - const response = await window.electronAPI.invoke("analyze-image-file", latest); - setChatMessages((msgs) => [...msgs, { role: "gemini", text: response.text }]); - } - } catch (err) { - setChatMessages((msgs) => [...msgs, { role: "gemini", text: "Error: " + String(err) }]); - } finally { - setChatLoading(false); - } - }); - return () => { - unsubscribe && unsubscribe(); - }; - }, [refetch]); - const handleTooltipVisibilityChange = (visible: boolean, height: number) => { setIsTooltipVisible(visible) setTooltipHeight(height) @@ -206,10 +341,10 @@ const Queue: React.FC = ({ setView }) => { const handleModelChange = (provider: "ollama" | "gemini", model: string) => { setCurrentModel({ provider, model }) // Update chat messages to reflect the model change - const modelName = provider === "ollama" ? model : "Gemini 3 Pro" - setChatMessages((msgs) => [...msgs, { - role: "gemini", - text: `🔄 Switched to ${provider === "ollama" ? "🏠" : "☁️"} ${modelName}. Ready for your questions!` + const modelName = provider === "ollama" ? model : "Gemini" + setChatMessages((msgs) => [...msgs, { + role: "gemini", + text: `Switched to ${provider === "ollama" ? "Ollama" : "Gemini"} ${modelName}. Ready for your questions!` }]) } @@ -256,11 +391,11 @@ const Queue: React.FC = ({ setView }) => {
    {chatMessages.length === 0 ? (
    - 💬 Chat with {currentModel.provider === "ollama" ? "🏠" : "☁️"} {currentModel.model} + Chat with {currentModel.provider === "ollama" ? "Ollama" : "Gemini"} {currentModel.model}
    - Take a screenshot (Cmd+H) for automatic analysis + Take a screenshot (Cmd+H), then press Send to solve
    - Click ⚙️ Models to switch AI providers + Click Models to switch AI providers
    ) : ( chatMessages.map((msg, idx) => ( @@ -276,7 +411,11 @@ const Queue: React.FC = ({ setView }) => { }`} style={{ wordBreak: "break-word", lineHeight: "1.4" }} > - {msg.text} + {msg.role === "gemini" ? ( + + ) : ( + {msg.text} + )}
    )) @@ -285,15 +424,31 @@ const Queue: React.FC = ({ setView }) => {
    - ● - ● - ● + . + . + . {currentModel.model} is replying...
    )} +
    + + {attachLatestScreenshot && ( + 0 ? "text-gray-600" : "text-red-500"}> + {screenshots.length > 0 ? "ready" : "no screenshot available"} + + )} +
    { @@ -304,7 +459,7 @@ const Queue: React.FC = ({ setView }) => { setChatInput(e.target.value)} disabled={chatLoading} @@ -312,7 +467,10 @@ const Queue: React.FC = ({ setView }) => { - {/* Provider-specific settings */} - {selectedProvider === 'gemini' ? ( + {selectedProvider === "gemini" ? (
    + + + = ({ onModelChange, onChatOpen className="w-full px-3 py-2 text-xs bg-white/40 border border-white/60 rounded focus:outline-none focus:ring-2 focus:ring-green-400/60" />
    - +
    @@ -203,10 +235,10 @@ const ModelSelector: React.FC = ({ onModelChange, onChatOpen className="px-2 py-1 text-xs bg-white/60 hover:bg-white/80 rounded transition-all" title="Refresh models" > - 🔄 + Refresh
    - + {availableOllamaModels.length > 0 ? (