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>

src/pyvtt/configuration.py

@@ -2,9 +2,11 @@ import json
 import os
 from pathlib import Path
 
+from pyvtt.models.config import AppConfig
+
 DEFAULT_CONFIG_PATH = Path.home() / ".pyvtt.json"
 
-def read_configurations():
+def read_configurations() -> AppConfig:
     """
     Reads the configuration settings from a JSON file named 'pyvtt.settings.json' 
     located in the same directory as the script.
@@ -18,7 +20,8 @@ def read_configurations():
     """
     try:
         with open(DEFAULT_CONFIG_PATH) as f:
-            return json.load(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}")