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c35c01dbae ... main

Author SHA1 Message Date
Max P.
79f4156ffa chore(version): bump to 0.6.0
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2025-10-05 20:33:46 +02:00
Max P.
7f4b559644 feat(module): add support for llama-swap API integration 2025-10-05 20:33:27 +02:00
Max P.
98b5ab1f1c chore(version): bump to 0.5.0
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2025-10-05 20:14:16 +02:00
Max P.
e628816ea8 feat(config): enhance Ollama configuration with dynamic path support 2025-10-05 20:13:42 +02:00
Max P.
4e4389a03f chore(version): bump to 0.4.5
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Details 
- Update project version from 0.4.4 to 0.4.5
- Prepares for the next release with minor updates
 2025-05-18 20:41:38 +02:00
Max P.
2c0cffe16a fix(worker): adjust timestamp format in journal entries 
- Updates the timestamp format from HH:MM:SS to HH:MM for journal logs
- Simplifies the time representation in generated journal paths
 2025-05-18 20:41:14 +02:00
Max P.
98fc0596d4 chore: bump version to 0.4.4
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Details 
Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-05-05 12:02:55 +02:00
Max P.
7059ebda4c refactor(send_cmd): rename config variable for clarity 
- Rename `CONFIGURATION` to `CONFIG` for consistency and brevity.
- Update method call to use dot notation for accessing `socket_path`.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-05-05 12:02:51 +02:00
Max P.
46215a8aef feat(dependencies): add pydantic and typing-related packages to poetry.lock
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Details 
Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-05-05 12:00:49 +02:00
Max P.
809145f53a feat(project): update version and add pydantic dependency 
- Bump project version from 0.4.2 to 0.4.3.
- Add `pydantic` as a dependency for improved data validation.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-05-05 12:00:42 +02:00
Max P.
58b9cb586c feat(libs): integrate Ollama and Whisper clients with config models 
- Add `AppConfig` and `PresetConfig` models using Pydantic for config validation
- Refactor `read_configurations` to return an `AppConfig` instance
- Implement `OllamaClient` for chat-based server interaction
- Implement `WhisperClient` for transcription via Whisper CLI
- Migrate notification utilities to `libs` directory
- Update tray application to use new clients and config structure
- Simplify Whisper and Ollama integration logic in `WhisperWorker`

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-05-05 12:00:33 +02:00
Max P.
5688769437 chore: bump version to 0.4.2
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Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 17:52:45 +02:00
Max P.
f4604d4485 refactor(voice_to_text_tray): improve configuration handling 
- Replace direct usage of global configuration dictionaries with local
  variables for better readability and maintainability.
- Update all references to use the newly introduced local variables.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 17:52:40 +02:00
Max P.
741a337278 fix(build-and-deploy): revert cache action to v1 and simplify cache key 
Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 17:34:04 +02:00
Max P.
7e4d6524ed chore: bump version to 0.4.1
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Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:55:35 +02:00
Max P.
4aa5466597 chore: bump version to 0.4.0
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Details 
Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:44:48 +02:00
Max P.
495452f7bd feat(pyvtt): add support for optional preset in commands 
- Add `preset` argument to `send_cmd` for passing optional presets.
- Modify command formatting to include preset if provided.
- Update CLI to accept an optional `preset` argument.
- Extend socket listener to parse and validate preset values.
- Enhance functionality to allow preset-based dynamic behavior.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:44:35 +02:00
Max P.
7719cf429d chore: bump version to 0.3.3
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Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:30:54 +02:00
Max P.
d7f783834f fix(voice_to_text_tray): use get() method for safer access to CURRENT_PRESET mode 
Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:30:48 +02:00
Max P.
d18a9915f9 chore: bump version to 0.3.2
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Details 
Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:24:15 +02:00
Max P.
da76f9420b fix(voice_to_text_tray): update journal timestamp format to include seconds 
Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:24:10 +02:00
Max P.
b4a728d0c6 chore: bump version to 0.3.1
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Details 
Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:21:30 +02:00
Max P.
f33b583aec feat(voice_to_text_tray): enhance journal creation with error handling and timestamp formatting 
Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:21:24 +02:00
Max P.
78881a572d chore: bump version to 0.3.0
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Details 
- Update project version from 0.2.1 to 0.3.0 in pyproject.toml.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:18:35 +02:00
Max P.
0a808a8471 feat(voice_to_text_tray): add journal saving for transcription results 
- Add functionality to save transcription results to a journal file.
- Use current date and time to organize entries in the journal.
- Retain clipboard copy behavior for non-journal modes.
- Enhance error handling for journal writing operations.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:18:22 +02:00
Max P.
776d95f8cd chore: bump version to 0.2.1
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Details 
- Update project version from 0.2.0 to 0.2.1 in pyproject.toml.
- Indicates a minor update, likely for small improvements or fixes.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:07:36 +02:00
Max P.
b5281b393c refactor(configuration): simplify import paths 
- Update import statements to remove redundant `src` prefix.
- Improve clarity and maintainability of module references.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:07:10 +02:00
Max P.
d91440aded chore: bump version to 0.2.0
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Details 
- Update project version from 0.1.0 to 0.2.0 in pyproject.toml.
- Reflects progress or new features added since the previous version.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:04:16 +02:00
Max P.
a569bb6206 refactor(configuration): use pathlib for config path handling 
- Replace `os` with `pathlib` for defining the default config path.
- Simplify configuration file path management for readability.
- Improve code maintainability by centralizing the default path.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-04-30 15:03:51 +02:00
Max P.
5b343b68cf feat(pyvtt): add CI pipeline and restructure project
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Details 
- 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>
 2025-04-30 15:01:58 +02:00
Max P.
58c8bf5c8f Adds detailed docstrings for SocketListener and TrayApp classes 
Enhances maintainability by providing comprehensive docstrings for
SocketListener and TrayApp classes. Documents attributes and methods,
clarifying their purposes and usage.
 2025-03-24 14:27:57 +01:00
Max P.
649b48ef53 Adds requirements section to README 
Includes Python dependencies and external software requirements
to guide users on necessary tools and libraries for the project.
 2025-03-24 14:26:33 +01:00
Max P.
92d66fb46c Extracts notification logic into a reusable utility 
Moves desktop notification functionality to a separate module for better code reuse and maintainability. Updates the main application to use the new utility.
 2025-03-24 14:26:24 +01:00
Max P.
36bad26e91 Updates default paths in sample settings 
Replaces placeholder paths with temporary file paths for audio, output, and socket.
Updates the default URL to use localhost for better local testing.
 2025-03-24 14:17:42 +01:00
Max P.
697d6ec5fc Updates copyright and improves README formatting 2025-03-24 14:16:47 +01:00
Max P.
82a7e6b968 Refactors configuration loading to use shared module 
Replaces inline configuration loading logic with an import from a shared `configuration` module to improve code reuse and maintainability.
 2025-03-24 14:16:31 +01:00
Max P.
210e0e95fb Refactors command sending and adds CLI support 
Introduces argument parsing for command-line interaction, allowing
users to specify commands dynamically. Refactors the command
sending function to include detailed error handling and support
for configurable socket paths via external configuration.
 2025-03-24 14:15:28 +01:00
Max P.
af048b9333 Adds configuration file reader utility 
Introduces a function to read and parse configuration settings from a JSON file. Handles errors gracefully with exception handling to ensure reliability.

Facilitates centralized management of configuration settings.
 2025-03-24 14:14:57 +01:00
Max P.
1a1e7c0658 Improves error handling in transcription workflow 
Adds detailed error handling for subprocess calls, file I/O, and HTTP requests to enhance robustness. Notifies the user of specific failures during transcription and clipboard operations. Fixes duplicate import and improves UI action configuration.
 2025-03-24 13:51:08 +01:00
19 changed files with 1663 additions and 211 deletions
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50
.github/workflows/build-and-deploy.yml vendored Normal file
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@@ -0,0 +1,50 @@
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@v1
with:
key: poetry-v1-${{ runner.os }}-${{ hashFiles('poetry.lock') }}
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"
]
}

2
LICENSE
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@@ -1,6 +1,6 @@
MIT License
Copyright (c) 2025 20Max01
Copyright (c) 2025 Max P.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal

35
README.md
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@@ -1,2 +1,37 @@
# pyvtt
Python Voice to Text
## Requirements
### 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
- PyQt5
### Software
- [Whisper.cpp](https://github.com/ggerganov/whisper.cpp)
- [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>

942
poetry.lock generated Normal file
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@@ -0,0 +1,942 @@
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requests = ">=2.0.1,<3.0.0"
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idna2008 = ["idna"]
[[package]]
name = "rich"
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python-versions = ">=3.8.0"
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readme-renderer = ">=35.0"
requests = ">=2.20"
requests-toolbelt = ">=0.8.0,<0.9.0 || >0.9.0"
rfc3986 = ">=1.4.0"
rich = ">=12.0.0"
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keyring = ["keyring (>=15.1)"]
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brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
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28
pyproject.toml Normal file
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@@ -0,0 +1,28 @@
[project]
name = "pyvtt"
version = "0.6.0"
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)",
"pydantic (>=2.11.4,<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"

21
pyvtt.settings.sample.json
View File

@@ -1,24 +1,27 @@
{
"audio_file": "/path/to/audio.wav",
"output_file": "/path/to/output.txt",
"audio_file": "/tmp/pyvtt_recording.wav",
"output_file": "/tmp/pyvtt_transcript.txt",
"whisper_path": "/path/to/whisper-cli",
"language": "en",
"socket_path": "/path/to/socket.sock",
"ollama_url": "http://example.com",
"socket_path": "/tmp/pyvtt.sock",
"ollama_url": "http://localhost",
"ollama_path": "/api/chat",
"ollama_port": 12345,
"presets": [
{
"name": "Default",
"language": "en",
"whisper_model": "/path/to/default-whisper-model.bin",
"ollama_model": "default-model",
"ollama_prompt": "Provide a detailed response to the following text:\n\n"
"ollama": "disable"
},
{
"name": "Quick English",
"whisper_model": "/path/to/quick-whisper-model.bin",
"ollama_model": "quick-model",
"ollama_prompt": "Quickly correct the following English text for grammar and punctuation:\n\n"
"ollama_model": "gemma3:4b",
"ollama_context": 131072,
"ollama_prompt": [
"Quickly correct the following English text for grammar and punctuation:\n",
"\n"
]
},
{
"name": "German Correction",

2
requirements.txt
View File

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

17
send_cmd.py
View File

@@ -1,17 +0,0 @@
#!/usr/bin/env python3
import socket
import sys
SOCKET_PATH = "/tmp/voice.sock"
def send_cmd(cmd):
with socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) as client:
client.connect(SOCKET_PATH)
client.sendall(cmd.encode())
if __name__ == "__main__":
# Default: toggle
cmd = "toggle"
if len(sys.argv) == 2 and sys.argv[1] in ["start", "stop", "toggle"]:
cmd = sys.argv[1]
send_cmd(cmd)

BIN
src/pyvtt/assets/notification.wav Normal file
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Binary file not shown.

27
src/pyvtt/configuration.py Normal file
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@@ -0,0 +1,27 @@
import json
import os
from pathlib import Path
from pyvtt.models.config import AppConfig
DEFAULT_CONFIG_PATH = Path.home() / ".pyvtt.json"
def read_configurations() -> AppConfig:
"""
Reads the configuration settings from a JSON file named 'pyvtt.settings.json'
located in the same directory as the script.
Returns:
dict: The configuration settings loaded from the JSON file.
Raises:
Exception: If there is an error reading or parsing the JSON file,
an exception is raised with the error details.
"""
try:
with open(DEFAULT_CONFIG_PATH) as f:
raw_config = json.load(f)
return AppConfig(**raw_config)
except Exception as e:
print(f"Error reading configurations: {e}")
raise Exception(f"Error reading configurations: {e}")

44
src/pyvtt/libs/notify.py Normal file
View File

@@ -0,0 +1,44 @@
import subprocess
from importlib.resources import files
def notify(title: str, message: str) -> None:
"""
Sends a desktop notification using the `notify-send` command.
Args:
title (str): The title of the notification.
message (str): The message content of the notification.
Raises:
subprocess.CalledProcessError: If the `notify-send` command fails.
Note:
This function requires the `notify-send` command to be available on the system.
It is typically available on Linux systems with a notification daemon running.
"""
try:
subprocess.run(["notify-send", "-a", "Voice to Text", "-i", "audio-input-microphone", title, message], check=True)
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)

103
src/pyvtt/libs/ollama.py Normal file
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@@ -0,0 +1,103 @@
import json
import requests
from typing import Union, List, Optional
from pyvtt.libs.notify import notify
from pyvtt.models.config import AppConfig, PresetConfig
class OllamaClient:
def __init__(self, config: AppConfig):
"""
Initialisiert den API-Client (Ollama oder llama-swap) mit Basis-Konfiguration.
"""
self.base_url = config.ollama_url.rstrip("/")
self.port = config.ollama_port
self.path = config.ollama_path or "/api/chat"
# Falls llama-swap (OpenAI-API-Kompatibel), verwende den OpenAI-Pfad
if "v1" in self.path or "completions" in self.path:
self.is_llama_swap = True
else:
self.is_llama_swap = False
def send_chat(self, user_message: str, config: PresetConfig) -> str:
"""
Sendet eine Chat-Anfrage an Ollama oder llama-swap.
"""
if config.ollama and config.ollama.lower() == "disable":
print("[OllamaClient] Ollama ist im Preset deaktiviert.")
return user_message
# Prompt aufbereiten
prompt_str = (
"\n".join(config.ollama_prompt)
if isinstance(config.ollama_prompt, list)
else str(config.ollama_prompt)
)
# === Payload vorbereiten ===
if self.is_llama_swap:
# OpenAI-/llama-swap-kompatibles Format
payload = {
"model": config.ollama_model,
"messages": [
{"role": "system", "content": prompt_str},
{"role": "user", "content": user_message},
],
"stream": False,
}
# Kontextgröße optional hinzufügen
if config.ollama_context:
payload["num_ctx"] = config.ollama_context
else:
# Klassisches Ollama-Format
payload = {
"model": config.ollama_model,
"messages": [
{"role": "system", "content": prompt_str},
{"role": "user", "content": user_message},
],
"options": (
{"num_ctx": config.ollama_context}
if config.ollama_context
else {}
),
"stream": False,
}
endpoint = f"{self.base_url}:{self.port}{self.path}"
# === Anfrage senden ===
try:
headers = {"Content-Type": "application/json"}
if self.is_llama_swap:
headers["Authorization"] = "Bearer no-key"
response = requests.post(endpoint, headers=headers, data=json.dumps(payload))
response.raise_for_status()
json_response = response.json()
# === Antwort extrahieren ===
if self.is_llama_swap:
# OpenAI-kompatible Struktur
content = (
json_response.get("choices", [{}])[0]
.get("message", {})
.get("content", "")
.strip()
)
else:
# Ollama-eigene Struktur
content = (
json_response.get("message", {})
.get("content", "")
.strip()
)
return "\n".join(line.strip() for line in content.splitlines())
except requests.exceptions.RequestException as e:
print(f"[OllamaClient] HTTP-Fehler: {e}")
notify("Fehler", "Kommunikationsfehler mit Ollama / llama-swap!")
return ""

50
src/pyvtt/libs/whisper.py Normal file
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@@ -0,0 +1,50 @@
import subprocess
from typing import Optional
from pathlib import Path
from pyvtt.libs.notify import notify
from pyvtt.models.config import AppConfig, PresetConfig
class WhisperClient:
def __init__(self, config: AppConfig):
"""
Initialisiert den Whisper-Client mit der globalen Anwendungskonfiguration.
:param config: AppConfig-Instanz mit Pfaden zur Whisper-Binary, Audio- und Ausgabedatei.
"""
self.whisper_path = config.whisper_path
self.audio_file = config.audio_file
self.output_file = config.output_file
def transcribe(self, config: PresetConfig) -> str:
"""
Führt Whisper (CLI) zur Transkription der Audiodatei aus und gibt das Transkript zurück.
:param config: PresetConfig-Instanz mit Whisper-Modell und Spracheinstellungen.
:return: Das rohe Transkript als String – oder None bei Fehlern.
"""
output_base = self.output_file.replace(".txt", "")
whisper_cmd = [
self.whisper_path,
"-m", config.whisper_model,
"-f", self.audio_file,
"-l", config.language,
"-otxt",
"-of", output_base
]
try:
subprocess.run(whisper_cmd, check=True)
except subprocess.CalledProcessError as e:
print(f"[WhisperClient] Whisper-Ausführungsfehler: {e}")
notify("Fehler", "Ein Fehler mit 'Whisper' ist aufgetreten!")
return ""
try:
with open(self.output_file, "r", encoding="utf-8") as f:
return "\n".join(line.strip() for line in f.readlines())
except Exception as e:
print(f"[WhisperClient] Fehler beim Einlesen der Ausgabedatei: {e}")
notify("Fehler", "Ein Fehler beim Lesen der Whisper-Ausgabe ist aufgetreten!")
return ""

26
src/pyvtt/models/config.py Normal file
View File

@@ -0,0 +1,26 @@
from typing import List, Optional, Union
from pydantic import BaseModel, HttpUrl, Field
class PresetConfig(BaseModel):
name: str
language: str
whisper_model: str
ollama: Optional[str] = None
ollama_model: Optional[str] = None
ollama_context: Optional[int] = None
ollama_prompt: Optional[Union[str, List[str]]] = None
mode: Optional[str] = None
journal_name: Optional[str] = None
class AppConfig(BaseModel):
audio_file: str
output_file: str
whisper_path: str
socket_path: str
ollama_url: str
ollama_path: str
ollama_port: int
journal_path: str
presets: List[PresetConfig]

65
src/pyvtt/send_cmd.py Executable file
View File

@@ -0,0 +1,65 @@
import socket
import sys
import argparse
from pyvtt.configuration import read_configurations
from typing import Optional
CONFIG = read_configurations()
def send_cmd(cmd: str, socket_path: str, preset: Optional[str] = None) -> None:
"""
Sends a command to a Unix domain socket server.
This function creates a Unix domain socket, connects to the server
specified by the socket_path, and sends the provided command as a
UTF-8 encoded string.
Args:
cmd (str): The command to send to the server.
socket_path (str): The path to the Unix domain socket.
Raises:
FileNotFoundError: If the socket file specified by socket_path does not exist.
ConnectionRefusedError: If the connection to the server is refused.
OSError: For other socket-related errors.
"""
try:
with socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) as client:
client.settimeout(3)
client.connect(socket_path)
if preset:
cmd = f"{cmd}::::{preset}"
client.sendall(cmd.encode())
except FileNotFoundError:
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, 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, flush=True)
def main():
parser = argparse.ArgumentParser(
description="Send a command to a Unix domain socket server."
)
parser.add_argument(
"command",
choices=["start", "stop", "toggle"],
nargs="?",
default="toggle",
help="The command to send to the server (default: toggle).",
)
parser.add_argument(
"preset",
nargs="?",
default=None,
help="The preset to use (optional)."
)
args = parser.parse_args()
send_cmd(args.command, CONFIG.socket_path, args.preset)

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src/pyvtt/voice_to_text_tray.py Executable file
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import datetime
import sys
import subprocess
import os
import threading
import socket
import json
import requests
from PyQt5.QtWidgets import QApplication, QSystemTrayIcon, QMenu, QAction
from PyQt5.QtGui import QIcon
from PyQt5.QtCore import QThread, pyqtSignal
from pyvtt.configuration import read_configurations
from pyvtt.libs.notify import notify, play_sound
from pyvtt.libs.ollama import OllamaClient
from pyvtt.libs.whisper import WhisperClient
CONFIG = read_configurations()
CURRENT_PRESET = CONFIG.presets[0] # Default to first preset
class WhisperWorker(QThread):
"""
A PyQt QThread subclass that handles the transcription of audio files using Whisper
and processes the result with Ollama. The final output is copied to the clipboard
and a signal is emitted upon completion.
Signals:
finished (pyqtSignal): Emitted with the formatted transcription result as a string
when the process is successfully completed.
Methods:
run():
Executes the transcription process using Whisper, sends the result to Ollama
for further processing, and copies the final output to the clipboard. Handles
errors at various stages and provides notifications for failures.
"""
finished = pyqtSignal(str)
def __init__(self):
super().__init__()
self.whisper = WhisperClient(CONFIG)
self.ollama = OllamaClient(CONFIG)
def run(self):
CURENT_CONFIG_LOCALE = CONFIG
CURRENT_PRESET_LOCALE = CURRENT_PRESET
try:
raw_result = self.whisper.transcribe(CURRENT_PRESET_LOCALE)
formatted_result = self.ollama.send_chat(raw_result, CURRENT_PRESET_LOCALE)
# Ergebnis ins Clipboard kopieren
if CURRENT_PRESET_LOCALE.mode == "journal":
today = datetime.date.today().strftime("%Y.%m.%d")
journal_path = os.path.join(CURENT_CONFIG_LOCALE.journal_path, f"{today} - {CURRENT_PRESET_LOCALE.journal_name}.md")
now = datetime.datetime.now().strftime("%H:%M")
if not os.path.exists(journal_path):
try:
with open(journal_path, "w") as f:
f.write(f"# {CURRENT_PRESET_LOCALE.journal_name} - {today}\n\n")
except Exception as e:
print(f"Journal Erstellungsfehler: {e}")
notify("Fehler", "Ein Fehler beim Erstellen des Journals ist aufgetreten!")
return
try:
with open(journal_path, "a") as f:
f.write(f"## {now} Uhr\n")
f.write(f"{formatted_result}\n\n")
except Exception as e:
print(f"Journal Fehler: {e}")
notify("Fehler", "Ein Fehler beim Schreiben ins Journal ist aufgetreten!")
return
else:
try:
subprocess.run(["wl-copy"], input=formatted_result.encode(), check=True)
except subprocess.CalledProcessError as e:
print(f"Clipboard Fehler: {e}")
notify("Fehler", "Ein Fehler beim Kopieren des Ergebnisses ist aufgetreten!")
return
notify("Spracherkennung", "Transkription abgeschlossen!")
play_sound()
self.finished.emit(formatted_result)
except Exception as e:
print(f"Fehler: {e}")
notify("Fehler", "Ein Fehler ist aufgetreten!")
return
class SocketListener(threading.Thread):
"""
A thread-based socket listener for handling inter-process communication
via a UNIX domain socket. This class listens for specific commands
("toggle", "start", "stop") sent to the socket and triggers corresponding
methods in the provided tray application instance.
Attributes:
tray_app (object): The tray application instance that provides methods
for handling recording actions.
sock (socket.socket): The UNIX domain socket used for communication.
Methods:
run():
Continuously listens for incoming connections on the socket.
Processes received commands and invokes the appropriate methods
on the tray application instance.
"""
def __init__(self, tray_app):
super().__init__(daemon=True)
self.tray_app = tray_app
if os.path.exists(CONFIG.socket_path):
os.remove(CONFIG.socket_path)
self.sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
self.sock.bind(CONFIG.socket_path)
os.chmod(CONFIG.socket_path, 0o666)
self.sock.listen(1)
def run(self):
while True:
conn, _ = self.sock.accept()
with conn:
data = conn.recv(1024).decode().strip()
if data:
cmd = data.split("::::")
if len(cmd) > 1:
data = cmd[0]
preset = cmd[1]
if preset in [p.name for p in CONFIG.presets]:
self.tray_app.set_preset([p.name for p in CONFIG.presets].index(preset))
else:
data = cmd[0]
if data == "toggle":
self.tray_app.toggle_recording()
elif data == "start":
self.tray_app.start_recording()
elif data == "stop":
self.tray_app.stop_recording_if_possible()
class TrayApp:
"""
TrayApp is a system tray application that provides voice-to-text functionality. It allows users to manage presets,
start and stop audio recording, and process the recorded audio using a WhisperWorker.
Attributes:
app (QApplication): The main application instance.
tray (QSystemTrayIcon): The system tray icon for the application.
menu (QMenu): The context menu for the system tray icon.
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.
Methods:
__init__(): Initializes the TrayApp instance, setting up the system tray, menu, and socket listener.
set_preset(index): Sets the active preset based on the given index and updates the UI.
start_recording(): Starts audio recording using ffmpeg.
stop_recording_if_possible(): Stops the audio recording process if it is running.
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.
"""
def __init__(self):
self.app = QApplication(sys.argv)
self.tray = QSystemTrayIcon(QIcon.fromTheme("audio-input-microphone"))
self.menu = QMenu()
self.app.aboutToQuit.connect(self.cleanup)
# Preset Menü
self.preset_actions = []
self.preset_group = QMenu("Presets")
for i, preset in enumerate(CONFIG.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)
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)
self.menu.addAction(self.quit_action)
self.tray.setContextMenu(self.menu)
self.tray.setToolTip("Voice to Text")
self.tray.show()
self.recording_process = None
self.socket_listener = SocketListener(self)
self.socket_listener.start()
def set_preset(self, index):
global CURRENT_PRESET
selected_preset = CONFIG.presets[index]
print(f"Preset gewechselt: {selected_preset.name}")
CURRENT_PRESET = selected_preset
# Nur einer darf gecheckt sein
for i, action in enumerate(self.preset_actions):
action.setChecked(i == index)
def start_recording(self):
if self.recording_process is None:
print("Starte Aufnahme...")
self.recording_process = subprocess.Popen([
"ffmpeg", "-f", "pulse", "-i", "default", "-ar", "16000",
"-ac", "1", CONFIG.audio_file, "-y", "-loglevel", "quiet"
])
notify("Aufnahme", "Aufnahme gestartet!")
def stop_recording_if_possible(self):
if self.recording_process:
print("Stoppe Aufnahme...")
self.recording_process.terminate()
self.recording_process.wait()
self.recording_process = None
notify("Aufnahme", "Aufnahme beendet, verarbeite...")
self.start_whisper_worker()
def toggle_recording(self):
if self.recording_process:
self.stop_recording_if_possible()
else:
self.start_recording()
def start_whisper_worker(self):
self.worker = WhisperWorker()
self.worker.finished.connect(self.show_result)
self.worker.start()
def show_result(self, text):
print(f"Fertig:\n{text}")
def reload_configurations(self):
global CONFIG, CURRENT_PRESET
print("Lade Einstellungen neu...")
CONFIG = read_configurations()
CURRENT_PRESET = CONFIG.presets[0] # Default to first preset
# Update preset menu
self.preset_group.clear()
self.preset_actions = []
for i, preset in enumerate(CONFIG.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(CONFIG.socket_path):
os.remove(CONFIG.socket_path)
print("Socket sauber entfernt.")
def run(self):
sys.exit(self.app.exec_())
def main():
TrayApp().run()

181
voice_to_text_tray.py
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#!/usr/bin/env python3
import sys
import subprocess
import os
import threading
import socket
import json
import requests
import json
from PyQt5.QtWidgets import QApplication, QSystemTrayIcon, QMenu, QAction
from PyQt5.QtGui import QIcon
from PyQt5.QtCore import QThread, pyqtSignal
# === Config ===
def read_configurations():
script_dir = os.path.dirname(os.path.abspath(__file__))
settings_path = os.path.join(script_dir, "pyvtt.settings.json")
with open(settings_path) as f:
return json.load(f)
CONFIGURATION = read_configurations()
CURRENT_PRESET = CONFIGURATION["presets"][0] # Default to first preset
def notify(title: str, message: str) -> None:
try:
subprocess.run(["notify-send", "-a", "Voice to Text", "-i", "audio-input-microphone", title, message], check=True)
except subprocess.CalledProcessError as e:
print("Fehler beim Benachrichtigen mit 'notify-send'.")
print(e)
# === Worker Thread for Whisper + Ollama ===
class WhisperWorker(QThread):
finished = pyqtSignal(str)
def run(self):
try:
# Whisper ausführen
whisper_cmd = [
CONFIGURATION["whisper_path"],
"-m", CURRENT_PRESET["whisper_model"],
"-f", CONFIGURATION["audio_file"],
"-l", CURRENT_PRESET["language"],
"-otxt",
"-of", CONFIGURATION["output_file"].replace(".txt", "")
]
subprocess.run(whisper_cmd, check=True)
with open(CONFIGURATION["output_file"], "r") as f:
raw_result = f.read().strip().replace("\n", " ")
print("Whisper Transkript erhalten.")
# --- An Ollama schicken ---
payload = {
"model": CURRENT_PRESET["ollama_model"],
"prompt": CURRENT_PRESET["ollama_prompt"] + raw_result,
"stream": False
}
ollama_endpoint = f"{CONFIGURATION['ollama_url']}:{CONFIGURATION['ollama_port']}/api/generate"
response = requests.post(ollama_endpoint, json=payload)
response.raise_for_status()
formatted_result = response.json().get("response", "").strip()
formatted_result = "\n".join(line.strip() for line in formatted_result.splitlines())
print("Ollama Antwort erhalten.")
# Ergebnis ins Clipboard kopieren
subprocess.run(["wl-copy"], input=formatted_result.encode(), check=True)
notify("Spracherkennung", "Transkription abgeschlossen!")
self.finished.emit(formatted_result)
except Exception as e:
notify("Fehler", "Ein Fehler ist aufgetreten!")
print(f"Fehler: {e}")
# === Socket Listener Thread ===
class SocketListener(threading.Thread):
def __init__(self, tray_app):
super().__init__(daemon=True)
self.tray_app = tray_app
if os.path.exists(CONFIGURATION["socket_path"]):
os.remove(CONFIGURATION["socket_path"])
self.sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
self.sock.bind(CONFIGURATION["socket_path"])
os.chmod(CONFIGURATION["socket_path"], 0o666)
self.sock.listen(1)
def run(self):
while True:
conn, _ = self.sock.accept()
with conn:
data = conn.recv(1024).decode().strip()
if data == "toggle":
self.tray_app.toggle_recording()
elif data == "start":
self.tray_app.start_recording()
elif data == "stop":
self.tray_app.stop_recording_if_possible()
# === Tray Application ===
class TrayApp:
def __init__(self):
self.app = QApplication(sys.argv)
self.tray = QSystemTrayIcon(QIcon.fromTheme("audio-input-microphone"))
self.menu = QMenu()
self.app.aboutToQuit.connect(self.cleanup)
# Preset Menü
self.preset_actions = []
self.preset_group = QMenu("Presets")
for i, preset in enumerate(CONFIGURATION["presets"]):
action = QAction(preset["name"], self.menu, checkable=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)
self.menu.addMenu(self.preset_group)
# Quit
self.quit_action = QAction("Beenden")
self.quit_action.triggered.connect(self.app.quit)
self.menu.addAction(self.quit_action)
self.tray.setContextMenu(self.menu)
self.tray.setToolTip("Voice to Text")
self.tray.show()
self.recording_process = None
self.socket_listener = SocketListener(self)
self.socket_listener.start()
def set_preset(self, index):
global CURRENT_PRESET
print(f"Preset gewechselt: {CONFIGURATION['presets'][index]['name']}")
CURRENT_PRESET = CONFIGURATION["presets"][index]
# Nur einer darf gecheckt sein
for i, action in enumerate(self.preset_actions):
action.setChecked(i == index)
def start_recording(self):
if self.recording_process is None:
print("Starte Aufnahme...")
self.recording_process = subprocess.Popen([
"ffmpeg", "-f", "pulse", "-i", "default", "-ar", "16000",
"-ac", "1", CONFIGURATION["audio_file"], "-y", "-loglevel", "quiet"
])
notify("Aufnahme", "Aufnahme gestartet!")
def stop_recording_if_possible(self):
if self.recording_process:
print("Stoppe Aufnahme...")
self.recording_process.terminate()
self.recording_process.wait()
self.recording_process = None
notify("Aufnahme", "Aufnahme beendet, verarbeite...")
self.start_whisper_worker()
def toggle_recording(self):
if self.recording_process:
self.stop_recording_if_possible()
else:
self.start_recording()
def start_whisper_worker(self):
self.worker = WhisperWorker()
self.worker.finished.connect(self.show_result)
self.worker.start()
def show_result(self, text):
print(f"Fertig:\n{text}")
def cleanup(self):
if os.path.exists(CONFIGURATION["socket_path"]):
os.remove(CONFIGURATION["socket_path"])
print("Socket sauber entfernt.")
def run(self):
sys.exit(self.app.exec_())
if __name__ == "__main__":
TrayApp().run()