Set tesseract model

package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@ztimson/ai-utils",
-	"version": "0.2.4",
+	"version": "0.2.5",
 	"description": "AI Utility library",
 	"author": "Zak Timson",
 	"license": "MIT",

src/ai.ts

@@ -4,14 +4,20 @@ import { Audio } from './audio.ts';
 import {Vision} from './vision.ts';
 
 export type AiOptions = LLMOptions & {
+	/** Path to models */
+	path?: string;
+	/** Whisper ASR configuration */
 	whisper?: {
 		/** Whisper binary location */
 		binary: string;
 		/** Model: `ggml-base.en.bin` */
 		model: string;
 	}
-	/** Path to models */
-	path?: string;
+	/** Tesseract OCR configuration */
+	tesseract?: {
+		/** Model: eng, eng_best, eng_fast */
+		model?: string;
+	}
 }
 
 export class Ai {

src/vision.ts

@@ -15,7 +15,7 @@ export class Vision {
 		return {
 			abort: () => { worker?.terminate(); },
 			response: new Promise(async res => {
-				worker = await createWorker('eng', 1, {cachePath: this.ai.options.path});
+				worker = await createWorker(this.ai.options.tesseract?.model || 'eng', 2, {cachePath: this.ai.options.path});
 				const {data} = await worker.recognize(path);
 				await worker.terminate();
 				res(data.text.trim() || null);