feat(pyvtt): add CI pipeline and restructure project

- 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>

.github/workflows/build-and-deploy.yml

@@ -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/*

.gitignore

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

.vscode/settings.json

@@ -0,0 +1,6 @@
+{
+    "python.envFile": "${workspaceFolder}/.env",
+    "python.analysis.extraPaths": [
+        "src"
+    ]
+}

LICENSE

@@ -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

README.md

@@ -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>

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+
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+]
+
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+[package.extras]
+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)"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = ">=3.12"
+content-hash = "33d6dddddf6b4c9ff020272b1e39c87ac4b85a53683a2929b7e0673ef4a09e0b"

pyproject.toml

@@ -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"

pyvtt.settings.sample.json

@@ -1,10 +1,10 @@
 {
-    "audio_file": "/path/to/audio.wav",
+    "audio_file": "/tmp/pyvtt_recording.wav",
-    "output_file": "/path/to/output.txt",
+    "output_file": "/tmp/pyvtt_transcript.txt",
     "whisper_path": "/path/to/whisper-cli",
     "language": "en",
-    "socket_path": "/path/to/socket.sock",
+    "socket_path": "/tmp/pyvtt.sock",
-    "ollama_url": "http://example.com",
+    "ollama_url": "http://localhost",
     "ollama_port": 12345,
     "presets": [
         {

requirements.txt

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

send_cmd.py

@@ -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)

src/pyvtt/configuration.py

@@ -0,0 +1,23 @@
+import json
+import os
+
+def read_configurations():
+    """
+    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.
+    """
+    script_dir = os.path.dirname(os.path.abspath(__file__))
+    settings_path = os.path.join(script_dir, "pyvtt.settings.json")
+    try:
+        with open(settings_path) as f:
+            return json.load(f)
+    except Exception as e:
+        print(f"Error reading configurations: {e}")
+        raise Exception(f"Error reading configurations: {e}")

src/pyvtt/notify.py

@@ -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)

src/pyvtt/send_cmd.py

@@ -0,0 +1,52 @@
+import socket
+import sys
+import argparse
+from src.pyvtt.configuration import read_configurations
+
+CONFIGURATION = read_configurations()
+
+def send_cmd(cmd: str, socket_path: str):
+    """
+    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)
+            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).",
+    )
+    args = parser.parse_args()
+
+    send_cmd(args.command, CONFIGURATION["socket_path"])

src/pyvtt/voice_to_text_tray.py

@@ -0,0 +1,289 @@
+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 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
+
+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 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", "")
+            ]
+            try:
+                subprocess.run(whisper_cmd, check=True)
+            except subprocess.CalledProcessError as e:
+                print(f"Whisper Fehler: {e}")
+                notify("Fehler", "Ein Fehler mit 'Whisper' ist aufgetreten!")
+                return
+            
+            try:
+                with open(CONFIGURATION["output_file"], "r") as f:
+                    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!")
+                return
+            
+            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"],
+                    "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/chat"
+                response = requests.post(ollama_endpoint, json=payload)
+
+                try:
+                    response.raise_for_status()
+                except requests.exceptions.HTTPError as e:
+                    print(f"HTTP Fehler: {e}")
+                    notify("Fehler", "Ein Fehler bei der Kommunikation mit 'Ollama' ist aufgetreten!")
+                    return
+
+                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:
+                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(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()
+
+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(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)
+        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
+        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 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"])
+        print("Socket sauber entfernt.")
+
+    def run(self):
+        sys.exit(self.app.exec_())
+
+def main():
+    TrayApp().run()

voice_to_text_tray.py

@@ -1,181 +0,0 @@
-#!/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()