feat(pyvtt): add CI pipeline and restructure project
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- Add GitHub Actions workflow for building and publishing packages.
- Introduce `pyproject.toml` for project metadata and dependency management.
- Remove `requirements.txt` in favor of Poetry for dependency handling.
- Restructure source files under `src/pyvtt` for better organization.
- Enhance `notify.py` with sound playback and improve error handling.
- Update `voice_to_text_tray.py` to support dynamic configuration reload.
- Add `.vscode/settings.json` for improved IDE configuration.
- Update `.gitignore` to exclude build artifacts.

Signed-off-by: Max P. <Mail@MPassarello.de>
This commit is contained in:
2025-04-30 15:01:58 +02:00
parent 58c8bf5c8f
commit 5b343b68cf
12 changed files with 963 additions and 35 deletions

52
.github/workflows/build-and-deploy.yml vendored Normal file
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@@ -0,0 +1,52 @@
name: Build and Publish
on:
push:
paths:
- "pyproject.toml" # Nur bei Änderungen an dieser Datei
workflow_dispatch: # Manuelles Anstoßen zulassen
jobs:
build-and-publish:
runs-on: ubuntu-22.04
steps:
- name: Checkout Repository
uses: actions/checkout@v4
- name: 🐍 Setup Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: 🔄 Restore cache
uses: https://git.0xmax42.io/actions/cache@v2
with:
keys: |
poetry-v1-${{ runner.os }}-${{ hashFiles('poetry.lock') }}
poetry-v1-${{ runner.os }}
paths: |
~/.cache/pypoetry
~/.cache/pip
- name: Install Poetry
run: |
pip install poetry
- name: Install Project Dependencies
working-directory: .
run: |
poetry install
- name: Build Package
working-directory: .
run: |
poetry build
- name: Publish to Gitea Package Registry
working-directory: .
env:
TWINE_USERNAME: ${{ secrets.TWINE_USERNAME }}
TWINE_PASSWORD: ${{ secrets.TWINE_PASSWORD }}
run: |
poetry run twine upload --repository-url ${{ secrets.TWINE_URL }} dist/*

1
.gitignore vendored
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@@ -1,2 +1,3 @@
pyvtt.settings.json
__pycache__/
dist/

6
.vscode/settings.json vendored Normal file
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@@ -0,0 +1,6 @@
{
"python.envFile": "${workspaceFolder}/.env",
"python.analysis.extraPaths": [
"src"
]
}

View File

@@ -7,6 +7,19 @@ Python Voice to Text
### Python
Create a virtual environment and activate it:
```bash
python3 -m venv venv
source venv/bin/activate
```
Install the required Python packages with the `requirements.txt` file:
```bash
pip install -r requirements.txt
```
- Python 3.6 or higher
- pip
- requests
@@ -18,3 +31,7 @@ Python Voice to Text
- [ffmpeg](https://ffmpeg.org/)
- [notify-send](https://manpages.ubuntu.com/manpages/bionic/man1/notify-send.1.html)
- [ollama](https://ollama.com/)
## Copyright
- The Notification sound: <a href="https://pixabay.com/de/users/rasoolasaad-47313572/?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=269292">Rasool Asaad</a> from <a href="https://pixabay.com/sound-effects//?utm_source=link-attribution&utm_medium=referral&utm_campaign=music&utm_content=269292">Pixabay</a>

769
poetry.lock generated Normal file
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@@ -0,0 +1,769 @@
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24
pyproject.toml Normal file
View File

@@ -0,0 +1,24 @@
[project]
name = "pyvtt"
version = "0.1.0"
description = "Python Voice to Text + LLMA"
authors = [{ name = "Max P.", email = "Mail@MPassarello.de" }]
license = { text = "MIT" }
readme = "README.md"
requires-python = ">=3.12"
dependencies = ["pyqt5 (>=5.15.11,<6.0.0)", "requests (>=2.32.3,<3.0.0)"]
[tool.poetry]
packages = [{ include = "pyvtt", from = "src" }]
include = ["pyvtt/assets/notification.wav"]
[tool.poetry.group.dev.dependencies]
twine = "^6.1.0"
[tool.poetry.scripts]
pyvtt-cmd = "pyvtt.send_cmd:main"
pyvtt-deamon = "pyvtt.voice_to_text_tray:main"
[build-system]
requires = ["poetry-core>=2.0.0,<3.0.0"]
build-backend = "poetry.core.masonry.api"

View File

@@ -1,2 +0,0 @@
requests
PyQt5

Binary file not shown.

View File

@@ -1,4 +1,3 @@
import json
import os

View File

@@ -1,4 +1,5 @@
import subprocess
from importlib.resources import files
def notify(title: str, message: str) -> None:
"""
@@ -20,3 +21,24 @@ def notify(title: str, message: str) -> None:
except subprocess.CalledProcessError as e:
print("Fehler beim Benachrichtigen mit 'notify-send'.")
print(e)
def play_sound() -> None:
"""
Plays a sound file using the `paplay` command.
Args:
sound_file (str): The path to the sound file to be played.
Raises:
subprocess.CalledProcessError: If the `paplay` command fails.
Note:
This function requires the `paplay` command to be available on the system.
It is typically available on Linux systems with PulseAudio installed.
"""
sound_file = files("pyvtt.assets").joinpath("notification.wav")
try:
subprocess.run(["paplay", str(sound_file)], check=True)
except subprocess.CalledProcessError as e:
print("Fehler beim Abspielen des Sounds mit 'paplay'.")
print(e)

View File

@@ -1,8 +1,7 @@
#!/usr/bin/env python3
import socket
import sys
import argparse
from configuration import read_configurations
from src.pyvtt.configuration import read_configurations
CONFIGURATION = read_configurations()
@@ -25,14 +24,17 @@ def send_cmd(cmd: str, socket_path: str):
"""
try:
with socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) as client:
client.settimeout(3)
client.connect(socket_path)
client.sendall(cmd.encode())
except FileNotFoundError:
print(f"Error: The socket file '{socket_path}' does not exist.", file=sys.stderr)
print(f"Error: The socket file '{socket_path}' does not exist.", file=sys.stderr, flush=True)
except ConnectionRefusedError:
print(f"Error: Connection to the server at '{socket_path}' was refused.", file=sys.stderr)
print(f"Error: Connection to the server at '{socket_path}' was refused.", file=sys.stderr, flush=True)
except socket.timeout:
print("Error: Socket operation timed out.", file=sys.stderr, flush=True)
except OSError as e:
print(f"Socket error: {e}", file=sys.stderr)
print(f"Socket error: {e}", file=sys.stderr, flush=True)
def main():
parser = argparse.ArgumentParser(
@@ -48,6 +50,3 @@ def main():
args = parser.parse_args()
send_cmd(args.command, CONFIGURATION["socket_path"])
if __name__ == "__main__":
main()

View File

@@ -1,4 +1,3 @@
#!/usr/bin/env python3
import sys
import subprocess
import os
@@ -9,8 +8,8 @@ import requests
from PyQt5.QtWidgets import QApplication, QSystemTrayIcon, QMenu, QAction
from PyQt5.QtGui import QIcon
from PyQt5.QtCore import QThread, pyqtSignal
from configuration import read_configurations
from notify import notify
from src.pyvtt.configuration import read_configurations
from pyvtt.notify import notify, play_sound
CONFIGURATION = read_configurations()
CURRENT_PRESET = CONFIGURATION["presets"][0] # Default to first preset
@@ -51,7 +50,7 @@ class WhisperWorker(QThread):
try:
with open(CONFIGURATION["output_file"], "r") as f:
raw_result = f.read().strip().replace("\n", " ")
raw_result = "\n".join(line.strip() for line in f.readlines())
except Exception as e:
print(f"Datei Fehler: {e}")
notify("Fehler", "Ein Fehler beim Lesen der Whisper-Ausgabe ist aufgetreten!")
@@ -60,12 +59,24 @@ class WhisperWorker(QThread):
print("Whisper Transkript erhalten.")
# --- An Ollama schicken ---
if CURRENT_PRESET["ollama"] != "disable":
if isinstance(CURRENT_PRESET["ollama_prompt"], list):
prompt = "\n".join(CURRENT_PRESET["ollama_prompt"])
else:
prompt = CURRENT_PRESET["ollama_prompt"]
payload = {
"model": CURRENT_PRESET["ollama_model"],
"prompt": CURRENT_PRESET["ollama_prompt"] + raw_result,
"messages": [
{"role": "system", "content": prompt},
{"role": "user", "content": raw_result}
],
"options": {
"num_ctx": CURRENT_PRESET["ollama_context"]
},
"stream": False
}
ollama_endpoint = f"{CONFIGURATION['ollama_url']}:{CONFIGURATION['ollama_port']}/api/generate"
ollama_endpoint = f"{CONFIGURATION['ollama_url']}:{CONFIGURATION['ollama_port']}/api/chat"
response = requests.post(ollama_endpoint, json=payload)
try:
@@ -75,9 +86,13 @@ class WhisperWorker(QThread):
notify("Fehler", "Ein Fehler bei der Kommunikation mit 'Ollama' ist aufgetreten!")
return
formatted_result = response.json().get("response", "").strip()
json_response = response.json()
formatted_result = json_response.get("message", {}).get("content", "").strip()
formatted_result = "\n".join(line.strip() for line in formatted_result.splitlines())
print("Ollama Antwort erhalten.")
else:
formatted_result = raw_result
print("Kein Ollama Prompt angegeben, nur Whisper Ergebnis verwendet.")
# Ergebnis ins Clipboard kopieren
try:
@@ -88,6 +103,7 @@ class WhisperWorker(QThread):
return
notify("Spracherkennung", "Transkription abgeschlossen!")
play_sound()
self.finished.emit(formatted_result)
except Exception as e:
@@ -147,6 +163,7 @@ class TrayApp:
preset_actions (list): A list of QAction objects representing the preset options.
preset_group (QMenu): A submenu for managing presets.
quit_action (QAction): An action to quit the application.
reload_action (QAction): An action to reload configurations.
recording_process (subprocess.Popen or None): The process handling audio recording.
socket_listener (SocketListener): A listener for socket communication.
worker (WhisperWorker or None): A worker thread for processing audio with Whisper.
@@ -159,6 +176,7 @@ class TrayApp:
toggle_recording(): Toggles between starting and stopping the audio recording.
start_whisper_worker(): Starts a WhisperWorker thread to process the recorded audio.
show_result(text): Displays the processed text result from the WhisperWorker.
reload_configurations(): Reloads configurations from the settings file and updates the UI.
cleanup(): Cleans up resources, such as removing the socket file, before the application exits.
run(): Starts the application's event loop.
"""
@@ -182,6 +200,11 @@ class TrayApp:
self.preset_actions.append(action)
self.menu.addMenu(self.preset_group)
# Reload Configurations
self.reload_action = QAction("Einstellungen neu laden")
self.reload_action.triggered.connect(self.reload_configurations)
self.menu.addAction(self.reload_action)
# Quit
self.quit_action = QAction("Beenden")
self.quit_action.triggered.connect(self.app.quit)
@@ -236,6 +259,24 @@ class TrayApp:
def show_result(self, text):
print(f"Fertig:\n{text}")
def reload_configurations(self):
global CONFIGURATION, CURRENT_PRESET
print("Lade Einstellungen neu...")
CONFIGURATION = read_configurations()
CURRENT_PRESET = CONFIGURATION["presets"][0] # Default to first preset
# Update preset menu
self.preset_group.clear()
self.preset_actions = []
for i, preset in enumerate(CONFIGURATION["presets"]):
action = QAction(preset["name"], self.menu)
action.setCheckable(True)
if i == 0:
action.setChecked(True)
action.triggered.connect(lambda checked, index=i: self.set_preset(index))
self.preset_group.addAction(action)
self.preset_actions.append(action)
print("Einstellungen erfolgreich neu geladen.")
def cleanup(self):
if os.path.exists(CONFIGURATION["socket_path"]):
os.remove(CONFIGURATION["socket_path"])
@@ -244,5 +285,5 @@ class TrayApp:
def run(self):
sys.exit(self.app.exec_())
if __name__ == "__main__":
def main():
TrayApp().run()