Files
cohere-transcribe/src/cohere_transcribe/cli/cli.py
T
tomatocream 58fa7526fb feat: add --normalize compressor + limiter for input audio
Adds a feedforward dynamic range compressor with a brick-wall limiter
applied in the audio callback. Quiet speech gets +12 dB makeup gain,
loud bursts are attenuated 4:1 above -20 dBFS, and the output is
hard-limited at -1 dBFS so nothing clips. Enabled via --normalize/-n
on `cohere on` and `cohere transcribe`.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-06 22:56:21 +08:00

167 lines
5.9 KiB
Python

import os
import subprocess
import sys
import time
import typer
from rich.console import Console
from ..daemon import STATE_FILE, is_running, read_state, stop_daemon
app = typer.Typer(help="Cohere live transcription — speaks into your keyboard.")
console = Console()
def _parse_device(value: str | None):
if value is None:
return None
try:
return int(value)
except ValueError:
return value
@app.command()
def on(
language: str = typer.Option("en", "--lang", "-l", help="Language code"),
pause: float = typer.Option(0.3, "--pause", "-p", help="Seconds of silence before sending text"),
device: str = typer.Option(None, "--device", "-d", help="Input device index or name substring (see `cohere devices`)"),
normalize: bool = typer.Option(False, "--normalize", "-n", help="Enable compressor + limiter to even out loudness"),
foreground: bool = typer.Option(False, "--fg", help="Run in foreground (don't daemonize)"),
):
"""Start transcribing and typing into your focused window."""
if is_running():
console.print("[yellow]Already running.[/yellow]")
raise typer.Exit(1)
if foreground:
from ..daemon import run_daemon
console.print("[green]Starting cohere (foreground)...[/green]")
run_daemon(language, pause=pause, device=_parse_device(device), normalize=normalize)
return
console.print("[green]Starting cohere daemon...[/green]")
os.makedirs(os.path.dirname(STATE_FILE), exist_ok=True)
cmd = [sys.executable, "-m", "cohere_transcribe.daemon_main", "--lang", language]
if pause != 0.3:
cmd += ["--pause", str(pause)]
if device is not None:
cmd += ["--device", device]
if normalize:
cmd += ["--normalize"]
subprocess.Popen(
cmd,
start_new_session=True,
stdin=subprocess.DEVNULL,
stdout=open(os.path.join(os.path.dirname(STATE_FILE), "daemon.log"), "a"),
stderr=subprocess.STDOUT,
)
for _ in range(50):
time.sleep(0.1)
if is_running():
break
if is_running():
console.print("[green]Cohere is on — speak and it types.[/green]")
else:
console.print("[red]Failed to start daemon. Check ~/.local/state/cohere/daemon.log[/red]")
raise typer.Exit(1)
@app.command()
def off():
"""Stop transcribing."""
if not is_running():
console.print("[yellow]Not running.[/yellow]")
raise typer.Exit(0)
if stop_daemon():
console.print("[red]Cohere is off.[/red]")
else:
console.print("[red]Failed to stop daemon.[/red]")
raise typer.Exit(1)
@app.command()
def status():
"""Show whether cohere is running."""
state = read_state()
running = is_running()
if running:
started = state.get("started_at", 0)
elapsed = time.time() - started
minutes = int(elapsed) // 60
console.print(f"[green]ON[/green] — running for {minutes}m")
else:
console.print("[dim]OFF[/dim]")
@app.command()
def transcribe(
audio_file: str = typer.Argument(None, help="Audio file to transcribe"),
mic: int = typer.Option(None, "--mic", "-m", help="Record from mic for N seconds"),
stream: bool = typer.Option(False, "--stream", "-s", help="Live streaming mode (prints to terminal)"),
language: str = typer.Option("en", "--lang", "-l", help="Language code"),
pause: float = typer.Option(0.3, "--pause", "-p", help="Seconds of silence before sending text"),
device: str = typer.Option(None, "--device", "-d", help="Input device index or name substring (see `cohere devices`)"),
normalize: bool = typer.Option(False, "--normalize", "-n", help="Enable compressor + limiter to even out loudness"),
):
"""One-shot transcription (file, mic, or stream to terminal)."""
from ..model import load_model, transcribe_audio
from ..vad import pause_seconds_to_frames
dev = _parse_device(device)
if stream:
from ..stream import stream_transcribe
processor, model = load_model()
stream_transcribe(processor, model, language, silence_frames=pause_seconds_to_frames(pause), device=dev, normalize=normalize)
elif mic is not None:
from ..model import record_audio
processor, model = load_model()
try:
audio = record_audio(mic, device=dev, normalize=normalize)
console.print("Transcribing...")
text = transcribe_audio(processor, model, audio, language)
console.print(f"\n{text}\n")
except OSError as e:
console.print(f"[red]Microphone error: {e}[/red]")
raise typer.Exit(1)
elif audio_file:
from transformers.audio_utils import load_audio as load_audio_file
from ..model import SAMPLE_RATE
processor, model = load_model()
audio = load_audio_file(audio_file, sampling_rate=SAMPLE_RATE)
text = transcribe_audio(processor, model, audio, language)
console.print(f"\n{text}\n")
else:
console.print("[yellow]Provide an audio file, --mic, or --stream[/yellow]")
raise typer.Exit(1)
@app.command()
def devices():
"""List available audio input devices."""
import sounddevice as sd
default_in = sd.default.device[0]
for idx, dev in enumerate(sd.query_devices()):
if dev["max_input_channels"] <= 0:
continue
marker = "[green]*[/green]" if idx == default_in else " "
hostapi = sd.query_hostapis(dev["hostapi"])["name"]
console.print(
f"{marker} [bold]{idx:>2}[/bold] {dev['name']} "
f"[dim]({dev['max_input_channels']}ch, {int(dev['default_samplerate'])}Hz, {hostapi})[/dim]"
)
console.print(
"\n[dim]Tip: indices can shift between runs on PipeWire. "
"Prefer [bold]-d pipewire[/bold] (uses PipeWire's default source) or pass a name substring like [bold]-d Sipeed[/bold].[/dim]"
)
def main():
app()