Implement WhisperTextStreamer helper class

src/generation/streamers.js

@@ -39,7 +39,7 @@ export class TextStreamer extends BaseStreamer {
     constructor(tokenizer, {
         skip_prompt = false,
         callback_function = null,
-        ...decode_kwargs
+        decode_kwargs = {},
     } = {}) {
         super();
         this.tokenizer = tokenizer;
@@ -124,3 +124,82 @@ export class TextStreamer extends BaseStreamer {
         }
     }
 }
+
+/**
+ * Utility class to handle streaming of tokens generated by whisper speech-to-text models.
+ * Callback functions are invoked when each of the following events occur:
+ *  - A new chunk starts (on_chunk_start)
+ *  - A new token is generated (callback_function)
+ *  - A chunk ends (on_chunk_end)
+ *  - The stream is finalized (on_finalize)
+ */
+export class WhisperTextStreamer extends TextStreamer {
+    /**
+     * @param {import('../tokenizers.js').WhisperTokenizer} tokenizer
+     * @param {Object} options
+     * @param {boolean} [options.skip_prompt=false] Whether to skip the prompt tokens
+     * @param {function(string): void} [options.callback_function=null] Function to call when a new token is generated
+     * @param {function(number): void} [options.on_chunk_start=null] Function to call when a new chunk starts
+     * @param {function(number): void} [options.on_chunk_end=null] Function to call when a chunk ends
+     * @param {function(): void} [options.on_finalize=null] Function to call when the stream is finalized
+     * @param {number} [options.time_precision=0.02] Precision of the timestamps
+     * @param {boolean} [options.skip_special_tokens=true] Whether to skip special tokens when decoding
+     * @param {Object} [options.decode_kwargs={}] Additional keyword arguments to pass to the tokenizer's decode method
+     */
+    constructor(tokenizer, {
+        skip_prompt = false,
+        callback_function = null,
+        on_chunk_start = null,
+        on_chunk_end = null,
+        on_finalize = null,
+        time_precision = 0.02,
+        skip_special_tokens = true,
+        decode_kwargs = {},
+    } = {}) {
+        super(tokenizer, {
+            skip_prompt,
+            callback_function,
+            decode_kwargs: { skip_special_tokens, ...decode_kwargs },
+        });
+        this.timestamp_begin = tokenizer.timestamp_begin;
+
+        this.on_chunk_start = on_chunk_start;
+        this.on_chunk_end = on_chunk_end;
+        this.on_finalize = on_finalize;
+
+        this.time_precision = time_precision;
+
+        this.waiting_for_timestamp = false;
+    }
+
+    /**
+     * @param {bigint[][]} value 
+     */
+    put(value) {
+        if (value.length > 1) {
+            throw Error('WhisperTextStreamer only supports batch size of 1');
+        }
+        const tokens = value[0];
+
+        // Check if the token is a timestamp
+        if (tokens.length === 1) {
+            const offset = Number(tokens[0]) - this.timestamp_begin;
+            if (offset >= 0) {
+                const time = offset * this.time_precision;
+                if (this.waiting_for_timestamp) {
+                    this.on_chunk_end?.(time);
+                } else {
+                    this.on_chunk_start?.(time);
+                }
+                this.waiting_for_timestamp = !this.waiting_for_timestamp; // Toggle
+                value = [[]]; // Skip timestamp
+            }
+        }
+        return super.put(value);
+    }
+
+    end() {
+        super.end();
+        this.on_finalize?.();
+    }
+}