inital commit

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# Python-generated files
__pycache__/
*.py[oc]
build/
dist/
wheels/
*.egg-info
# Virtual environments
.venv

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3.14

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README.md Normal file
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# simplewhispr
minimalist ai-powered dictation for linux.
requires `ffmpeg` and `wtype`.
## install
```bash
uv tool install . --reinstall
```
## usage
run `simplewhispr-auto` to start dictating. run `simplewhispr-auto` again when
you are done. wait a few seconds, and what you said will be transcribed onto
your screen with wtype.
requires `~/.config/simplewhispr/config.json`:
```json
{
"openai_api_key": "sk-...",
"model": "gpt-4o-mini-transcribe" // optional, defaults to mini
}
```

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auto.py Normal file
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import os
import signal
import sys
import main
def auto_toggle():
pid_file = "/tmp/simplewhispr.pid"
if os.path.exists(pid_file):
with open(pid_file, "r") as f:
try:
pid = int(f.read().strip())
os.kill(pid, signal.SIGUSR1)
print("info: stopped existing recording.")
except ProcessLookupError, ValueError:
print("info: stale pid file found, starting new recording.")
os.remove(pid_file)
_fork_and_start()
else:
print("info: starting new recording.")
_fork_and_start()
def _fork_and_start():
# perform a single fork to detach the process
try:
pid = os.fork()
if pid > 0:
# parent process exits
sys.exit(0)
except OSError as e:
print(f"fatal: fork failed: {e}")
sys.exit(1)
# start the main application
main.main()
if __name__ == "__main__":
auto_toggle()

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import json
import os
import signal
import subprocess
import sys
import time
from pathlib import Path
from openai import OpenAI
# flag to control recording
recording = True
def parse_config() -> tuple[str, str]:
config_path = Path.home() / ".config/simplewhispr/config.json"
if not config_path.exists():
raise Exception(f"fatal: config file not found at {config_path}")
try:
with open(config_path, "r") as f:
config = json.load(f)
api_key = config.get("openai_api_key")
model = config.get("model", "gpt-4o-mini-transcribe")
if not api_key:
raise ValueError("fatal: 'openai_api_key' not found in config file.")
return api_key, model
except Exception as e:
raise Exception(f"fatal: configuration error: {e}")
def handle_sigusr1(signum, frame):
global recording
print("\ninfo: SIGUSR1 received. stopping recording.")
recording = False
# register signal handler for SIGUSR1
signal.signal(signal.SIGUSR1, handle_sigusr1)
def transcribe_audio(filename: str) -> str:
api_key, model = parse_config()
client = OpenAI(api_key=api_key)
with open(filename, "rb") as audio_file:
transcription = client.audio.transcriptions.create(
model=model,
file=audio_file,
)
return transcription.text
def grab_recording() -> str:
output_filename = "/tmp/simplewhispr-recording.wav"
# start ffmpeg recording
cmd = ["ffmpeg", "-f", "pulse", "-i", "default", "-y", output_filename]
print(
f"info: starting recording to {output_filename}. send SIGUSR1 (kill -usr1 {os.getpid()}) to stop."
)
process = subprocess.Popen(
cmd, stdout=subprocess.DEVNULL, stderr=subprocess.PIPE, text=True
)
# wait for SIGUSR1
while recording:
time.sleep(0.5)
if process.poll() is not None:
print("fatal: ffmpeg exited unexpectedly.")
sys.exit(1)
# stop recording
process.terminate()
process.wait()
print("info: recording stopped.")
return output_filename
def main():
with open("/tmp/simplewhispr.pid", "w") as f:
f.write(str(os.getpid()))
recording_file = grab_recording()
print("info: transcribing...")
transcription = transcribe_audio(recording_file)
print(f"info: transcription: {transcription}")
# use wtype to type the output
subprocess.run(["wtype", transcription])
if os.path.exists("/tmp/simplewhispr.pid"):
os.remove("/tmp/simplewhispr.pid")
if __name__ == "__main__":
main()

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pyproject.toml Normal file
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[project]
name = "simplewhispr"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.14"
dependencies = [
"openai>=2.41.0",
]
[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
py-modules = ["main", "auto"]
[project.scripts]
simplewhispr-auto = "auto:auto_toggle"

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