mlx_whisper: add support for audio input from stdin

whisper/README.md

@@ -25,7 +25,7 @@ pip install mlx-whisper
 
 At its simplest:
 
-```
+```sh
 mlx_whisper audio_file.mp3
 ```
 
@@ -35,6 +35,15 @@ Use `-f` to specify the output format and `--model` to specify the model. There
 are many other supported command line options. To see them all, run
 `mlx_whisper -h`.
 
+You can also pipe the audio content of other programs via stdin:
+
+```sh
+some-process | mlx_whisper -
+```
+
+The default output file name will be `content.*`. You can specify the name with
+the `--output-name` flag.
+
 #### API
 
 Transcribe audio with:
@@ -103,7 +112,7 @@ python convert.py --help
 ```
 
 By default, the conversion script will make the directory `mlx_models`
-and save the converted `weights.npz` and `config.json` there. 
+and save the converted `weights.npz` and `config.json` there.
 
 Each time it is run, `convert.py` will overwrite any model in the provided
 path. To save different models, make sure to set `--mlx-path` to a unique

whisper/mlx_whisper/audio.py

@@ -3,7 +3,7 @@
 import os
 from functools import lru_cache
 from subprocess import CalledProcessError, run
-from typing import Union
+from typing import Optional, Union
 
 import mlx.core as mx
 import numpy as np
@@ -21,7 +21,7 @@
 TOKENS_PER_SECOND = SAMPLE_RATE // N_SAMPLES_PER_TOKEN  # 20ms per audio token
 
 
-def load_audio(file: str, sr: int = SAMPLE_RATE):
+def load_audio(file: str = Optional[str], sr: int = SAMPLE_RATE, from_stdin=False):
     """
     Open an audio file and read as mono waveform, resampling as necessary
 
@@ -39,19 +39,21 @@ def load_audio(file: str, sr: int = SAMPLE_RATE):
     """
 
     # This launches a subprocess to decode audio while down-mixing
-    # and resampling as necessary.  Requires the ffmpeg CLI in PATH.
+    # and resampling as necessary. Requires the ffmpeg CLI in PATH.
+    if from_stdin:
+        cmd = ["ffmpeg", "-i", "pipe:0"]
+    else:
+        cmd = ["ffmpeg", "-nostdin", "-i", file]
+
     # fmt: off
-    cmd = [
-        "ffmpeg",
-        "-nostdin",
+    cmd.extend([
         "-threads", "0",
-        "-i", file,
         "-f", "s16le",
         "-ac", "1",
         "-acodec", "pcm_s16le",
         "-ar", str(sr),
         "-"
-    ]
+    ])
     # fmt: on
     try:
         out = run(cmd, capture_output=True, check=True).stdout

whisper/mlx_whisper/cli.py

@@ -2,9 +2,11 @@
 
 import argparse
 import os
+import pathlib
 import traceback
 import warnings
 
+from . import audio
 from .tokenizer import LANGUAGES, TO_LANGUAGE_CODE
 from .transcribe import transcribe
 from .writers import get_writer
@@ -27,15 +29,24 @@ def str2bool(string):
     parser = argparse.ArgumentParser(
         formatter_class=argparse.ArgumentDefaultsHelpFormatter
     )
-    parser.add_argument(
-        "audio", nargs="+", type=str, help="Audio file(s) to transcribe"
-    )
+
+    parser.add_argument("audio", nargs="+", help="Audio file(s) to transcribe")
+
     parser.add_argument(
         "--model",
         default="mlx-community/whisper-tiny",
         type=str,
         help="The model directory or hugging face repo",
     )
+    parser.add_argument(
+        "--output-name",
+        type=str,
+        default=None,
+        help=(
+            "The name of transcription/translation output files before "
+            "--output-format extensions"
+        ),
+    )
     parser.add_argument(
         "--output-dir",
         "-o",
@@ -200,6 +211,7 @@ def main():
     path_or_hf_repo: str = args.pop("model")
     output_dir: str = args.pop("output_dir")
     output_format: str = args.pop("output_format")
+    output_name: str = args.pop("output_name")
     os.makedirs(output_dir, exist_ok=True)
 
     writer = get_writer(output_format, output_dir)
@@ -219,17 +231,25 @@ def main():
         warnings.warn("--max-line-count has no effect without --max-line-width")
     if writer_args["max_words_per_line"] and writer_args["max_line_width"]:
         warnings.warn("--max-words-per-line has no effect with --max-line-width")
-    for audio_path in args.pop("audio"):
+
+    for audio_obj in args.pop("audio"):
+        if audio_obj == "-":
+            # receive the contents from stdin rather than read a file
+            audio_obj = audio.load_audio(from_stdin=True)
+
+            output_name = output_name or "content"
+        else:
+            output_name = output_name or pathlib.Path(audio_obj).stem
         try:
             result = transcribe(
-                audio_path,
+                audio_obj,
                 path_or_hf_repo=path_or_hf_repo,
                 **args,
             )
-            writer(result, audio_path, **writer_args)
+            writer(result, output_name, **writer_args)
         except Exception as e:
             traceback.print_exc()
-            print(f"Skipping {audio_path} due to {type(e).__name__}: {str(e)}")
+            print(f"Skipping {audio_obj} due to {type(e).__name__}: {str(e)}")
 
 
 if __name__ == "__main__":

whisper/mlx_whisper/writers.py

@@ -1,10 +1,8 @@
 # Copyright © 2024 Apple Inc.
 
 import json
-import os
+import pathlib
 import re
-import sys
-import zlib
 from typing import Callable, List, Optional, TextIO
 
 
@@ -43,15 +41,13 @@ def __init__(self, output_dir: str):
         self.output_dir = output_dir
 
     def __call__(
-        self, result: dict, audio_path: str, options: Optional[dict] = None, **kwargs
+        self, result: dict, output_name: str, options: Optional[dict] = None, **kwargs
     ):
-        audio_basename = os.path.basename(audio_path)
-        audio_basename = os.path.splitext(audio_basename)[0]
-        output_path = os.path.join(
-            self.output_dir, audio_basename + "." + self.extension
+        output_path = (pathlib.Path(self.output_dir) / output_name).with_suffix(
+            f".{self.extension}"
         )
 
-        with open(output_path, "w", encoding="utf-8") as f:
+        with output_path.open("wt", encoding="utf-8") as f:
             self.write_result(result, file=f, options=options, **kwargs)
 
     def write_result(