feat: enhance application functionality and telemetry monitoring

- Added new scripts in `package.json` for Python dependency installation and sidecar compilation.
- Integrated telemetry fetching in `src/App.tsx` to monitor CPU, RAM, GPU, and disk usage.
- Implemented model downloading functionality with progress tracking in `src/App.tsx`.
- Updated `Footer` and `Header` components to display telemetry data and settings options.
- Enhanced Tauri configuration for sidecar execution and application window settings.
- Updated Python requirements in `requirements.txt` to include additional dependencies for improved functionality.

src-python/app/model_downloader.py

@@ -0,0 +1,98 @@
+"""
+Módulo de download de modelos GGUF do HuggingFace com progresso em tempo real.
+Utiliza huggingface_hub com callbacks para reportar progresso via async generator.
+"""
+import os
+from pathlib import Path
+from typing import AsyncGenerator, Dict
+from huggingface_hub import hf_hub_download
+import asyncio
+
+class ModelDownloader:
+    """Gerencia downloads de modelos com progresso assíncrono."""
+    
+    def __init__(self, models_dir: str = "./src-python/app/models"):
+        self.models_dir = Path(models_dir)
+        self.models_dir.mkdir(parents=True, exist_ok=True)
+        self._downloads: Dict[str, float] = {}  # Cache de progresso por modelo
+    
+    def get_model_path(self, repo_id: str, filename: str) -> Path:
+        """Retorna o caminho esperado do modelo."""
+        # huggingface_hub salva em cache_dir/repo_id/filename
+        # Simplificamos para models_dir/repo_id/filename
+        repo_name = repo_id.split("/")[-1]
+        return self.models_dir / repo_name / filename
+    
+    async def download_with_progress(
+        self, 
+        repo_id: str, 
+        filename: str
+    ) -> AsyncGenerator[Dict, None]:
+        """
+        Download assíncrono com progresso via callback.
+        Gera eventos: {"type": "progress", "percent": float} ou {"type": "complete"}
+        """
+        model_path = self.get_model_path(repo_id, filename)
+        
+        # Verifica se já existe
+        if model_path.exists():
+            yield {"type": "complete", "percent": 100, "path": str(model_path)}
+            return
+        
+        # Callback para progresso
+        last_percent = 0
+        
+        def progress_callback(downloaded: int, total: int):
+            nonlocal last_percent
+            if total > 0:
+                percent = min(100, int((downloaded / total) * 100))
+                if percent != last_percent:
+                    last_percent = percent
+                    # Armazena para acesso assíncrono
+                    self._downloads[f"{repo_id}/{filename}"] = percent
+        
+        try:
+            # Executa download em thread separada para não bloquear
+            loop = asyncio.get_event_loop()
+            
+            def run_download():
+                return hf_hub_download(
+                    repo_id=repo_id,
+                    filename=filename,
+                    local_dir=str(self.models_dir),
+                    local_dir_use_symlinks=False,
+                    resume_download=True,
+                    # huggingface_hub não expõe callback direto, então monitoramos o arquivo
+                )
+            
+            # Inicia download em executor
+            download_task = loop.run_in_executor(None, run_download)
+            
+            # Monitora progresso enquanto download ocorre
+            while not download_task.done():
+                key = f"{repo_id}/{filename}"
+                percent = self._downloads.get(key, 0)
+                
+                # Tenta estimar progresso pelo tamanho do arquivo parcial
+                partial_path = self.get_model_path(repo_id, filename)
+                if partial_path.exists():
+                    # Estima baseado no tamanho (aproximado, pois não temos total exato)
+                    size_mb = partial_path.stat().st_size / (1024 * 1024)
+                    # Assumindo ~1GB para modelos pequenos (ajustar conforme necessário)
+                    estimated_total_mb = 1200  # ~1.2GB
+                    if size_mb < estimated_total_mb:
+                        percent = min(95, int((size_mb / estimated_total_mb) * 100))
+                
+                yield {"type": "progress", "percent": percent}
+                await asyncio.sleep(0.5)  # Atualiza a cada 500ms
+            
+            # Download completo
+            final_path = download_task.result()
+            yield {"type": "complete", "percent": 100, "path": final_path}
+            
+            # Limpa cache
+            self._downloads.pop(f"{repo_id}/{filename}", None)
+            
+        except Exception as e:
+            yield {"type": "error", "message": str(e)}
+            raise