mirror of
https://github.com/BigMarc/grammargem.git
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f5faa27f88
Native SwiftUI menu-bar app: global hotkey → capture selected text (AX API / clipboard fallback) → grammar (Harper) / local AI (MLX) → replace in place. Free/paid entitlement gate + Lemon Squeezy device-cap licensing, $0 marginal cost per user. Heavyweight engines behind protocol stubs so it builds out of the box. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
92 lines
3.6 KiB
Swift
92 lines
3.6 KiB
Swift
import Foundation
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/// STUB standing in for the real MLX-backed local LLM.
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///
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/// TODO(real-integration): load the model via mlx-swift from
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/// `ModelManager.modelsDirectory`, build the prompt from the action's system
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/// prompt + the user's text, and stream tokens (target: first token < 1s on
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/// M-series). Everything stays on-device — this method must never hit the network.
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///
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/// The stub produces deterministic, plausible transformations so the capture →
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/// engine → replace loop and the entitlement gating can be exercised end-to-end
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/// without the multi-gigabyte model present.
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final class MLXEngine: AIEngine {
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private let ready: Bool
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init(ready: Bool = true) {
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self.ready = ready
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}
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var isReady: Bool { ready }
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func run(_ action: AIAction, on text: String) async throws -> String {
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guard ready else { throw AIEngineError.modelNotReady }
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let trimmed = text.trimmingCharacters(in: .whitespacesAndNewlines)
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guard !trimmed.isEmpty else { return text }
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switch action {
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case .rewriteClarity, .rewrite:
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return tidy(trimmed)
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case .adjustTone(let tone):
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return apply(tone: tone, to: tidy(trimmed))
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case .ask(let instruction):
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return follow(instruction: instruction, on: trimmed)
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case .translate(let language):
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return "[\(language)] " + tidy(trimmed)
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case .applyMode(let mode):
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return applyMode(mode, to: trimmed)
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}
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}
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func detectTone(_ text: String) async -> Tone {
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let lower = text.lowercased()
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if lower.contains("!") || lower.contains("🚀") { return .punchy }
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if lower.contains("therefore") || lower.contains("hereby") { return .academic }
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if lower.contains("hey") || lower.contains("lol") { return .friendly }
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return .professional
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}
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// MARK: - Deterministic stand-in transforms
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private func tidy(_ s: String) -> String {
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var out = s
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out = out.replacingOccurrences(of: " i ", with: " I ")
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out = out.replacingOccurrences(of: "lmk", with: "let me know")
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out = out.replacingOccurrences(of: "u ", with: "you ")
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if let first = out.first, first.isLowercase {
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out.replaceSubrange(out.startIndex...out.startIndex, with: String(first).uppercased())
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}
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if let last = out.last, !".!?".contains(last) { out.append(".") }
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return out
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}
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private func apply(tone: Tone, to s: String) -> String {
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switch tone {
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case .professional: return s
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case .friendly: return "Hi! " + s
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case .confident: return s.replacingOccurrences(of: "I think ", with: "")
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case .academic: return "It is worth noting that " + s.prefix(1).lowercased() + s.dropFirst()
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case .punchy: return s.replacingOccurrences(of: ". ", with: ".\n")
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}
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}
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private func follow(instruction: String, on s: String) -> String {
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let i = instruction.lowercased()
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if i.contains("short") { return String(s.split(separator: " ").prefix(8).joined(separator: " ")) + "." }
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if i.contains("formal") { return apply(tone: .academic, to: tidy(s)) }
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if i.contains("translate") { return "[translated] " + tidy(s) }
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return tidy(s)
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}
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private func applyMode(_ mode: WritingMode, to s: String) -> String {
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switch mode.id {
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case "email": return "Hi,\n\n\(tidy(s))\n\nThanks!"
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case "post": return apply(tone: .punchy, to: tidy(s))
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case "academic": return apply(tone: .academic, to: tidy(s))
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case "slack": return s.lowercased()
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case "code": return "// " + tidy(s)
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default: return tidy(s)
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}
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}
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}
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