ASR debugging

package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@ztimson/ai-utils",
-	"version": "0.1.6",
+	"version": "0.1.9",
 	"description": "AI Utility library",
 	"author": "Zak Timson",
 	"license": "MIT",

src/ai.ts

@@ -11,15 +11,17 @@ export type AiOptions = LLMOptions & {
 		binary: string;
 		/** Model */
 		model: WhisperModel;
-		/** Working directory for models and temporary files */
+		/** Path to models */
 		path: string;
+		/** Path to storage location for temporary files */
+		temp?: string;
 	}
 }
 
 export type WhisperModel = 'tiny' | 'base' | 'small' | 'medium' | 'large';
 
 export class Ai {
-	private downloads: {[key: string]: Promise<void>} = {};
+	private downloads: {[key: string]: Promise<string>} = {};
 	private whisperModel!: string;
 
 	/** Large Language Models */
@@ -27,7 +29,10 @@ export class Ai {
 
 	constructor(public readonly options: AiOptions) {
 		this.llm = new LLM(this, options);
-		if(this.options.whisper?.binary) this.downloadAsrModel(this.options.whisper.model);
+		if(this.options.whisper?.binary) {
+			this.whisperModel = Path.join(<string>this.options.whisper?.path, this.options.whisper?.model + this.options.whisper?.model.endsWith('.bin') ? '' : '.bin');
+			this.downloadAsrModel();
+		}
 	}
 
 	/**
@@ -38,11 +43,13 @@ export class Ai {
 	 */
 	async asr(path: string, model?: WhisperModel): Promise<string | null> {
 		if(!this.options.whisper?.binary) throw new Error('Whisper not configured');
-		if(!model) model = this.options.whisper.model;
+		const m = await this.downloadAsrModel(model);
-		await this.downloadAsrModel(<string>model);
+		const name = Math.random().toString(36).substring(2, 10) + '-' + path.split('/').pop() + '.txt';
-		const name = Math.random().toString(36).substring(2, 10) + '-' + path.split('/').pop();
+		const output = Path.join(this.options.whisper.temp || '/tmp', name);
-		const output = Path.join(this.options.whisper.path || '/tmp', name);
+		console.log('model:', this.options.whisper?.model);
-		await $`rm -f /tmp/${name}.txt && ${this.options.whisper.binary} -nt -np -m ${this.whisperModel} -f ${path} -otxt -of ${output}`;
+		console.log(this.whisperModel);
+		console.log(`rm -f ${output} && ${this.options.whisper.binary} -nt -np -m ${m} -f ${path} -otxt -of ${output}`);
+		await $`rm -f ${output} && ${this.options.whisper.binary} -nt -np -m ${m} -f ${path} -otxt -of ${output}`;
 		return fs.readFile(output, 'utf-8').then(text => text?.trim() || null)
 			.finally(() => fs.rm(output, {force: true}).catch(() => {}));
 	}
@@ -51,19 +58,24 @@ export class Ai {
 	 * Downloads the specified Whisper model if it is not already present locally.
 	 *
 	 * @param {string} model Whisper model that will be downloaded
-	 * @return {Promise<void>} A promise that resolves once the model is downloaded and saved locally.
+	 * @return {Promise<string>} Absolute path to model file, resolves once downloaded
 	 */
-	async downloadAsrModel(model: string): Promise<void> {
+	async downloadAsrModel(model?: string): Promise<string> {
 		if(!this.options.whisper?.binary) throw new Error('Whisper not configured');
-		this.whisperModel = Path.join(<string>this.options.whisper?.path, this.options.whisper?.model + '.bin');
+		let m;
-		if(await fs.stat(this.whisperModel).then(() => true).catch(() => false)) return;
+		if(model) m = model?.endsWith('.bin') ? model : model + '.bin';
-		if(!!this.downloads[model]) return this.downloads[model];
+		else m = <string>this.whisperModel.split('/').at(-1);
-		this.downloads[model] = fetch(`https://huggingface.co/ggerganov/whisper.cpp/resolve/main/${this.options.whisper?.model}.bin`)
+		const p = Path.join(this.options.whisper.path, m);
-			.then(resp => resp.arrayBuffer()).then(arr => Buffer.from(arr)).then(async buffer => {
+		if(await fs.stat(p).then(() => true).catch(() => false)) return p;
-				await fs.writeFile(this.whisperModel, buffer);
+		if(!!this.downloads[m]) return this.downloads[m];
-				delete this.downloads[model];
+		this.downloads[m] = fetch(`https://huggingface.co/ggerganov/whisper.cpp/resolve/main/${m}`)
+			.then(resp => resp.arrayBuffer())
+			.then(arr => Buffer.from(arr)).then(async buffer => {
+				await fs.writeFile(Path.join((<any>this.options.whisper).path, m), buffer);
+				delete this.downloads[m];
+				return p;
 			});
-		return this.downloads[model];
+		return this.downloads[m];
 	}
 
 	/**