Refactor project structure and implement new features

- Removed unused security module and updated import paths.
- Enhanced OpenAI client with streaming capabilities for chat completions.
- Added new backend API endpoints for health check (ping).
- Established a new FastAPI application with CORS configuration.
- Created a new Appshell component for the frontend with navigation links.
- Integrated SVG icons and improved styling for the Appshell component.
- Implemented memory management for conversation history using PostgreSQL.
- Developed abstract classes for AI agents and models, with OpenAI integration.
- Added encryption utilities for secure data handling.

src/Llms/Modelos/Base_model.py

@@ -0,0 +1,30 @@
+from abc import ABC, abstractmethod
+
+class ModeloABC(ABC):
+    """
+    Clase base para definir la interfaz de un modelo conversacional.
+    """
+
+    def __init__(
+        self,
+        model: str,
+        temperature: float = 0.7,
+        top_p: float = 1.0,
+        top_k: int = None,
+        frecuencia_penalizacion: float = 0.0,
+        num_tokens_maximos: int = 512
+    ):
+        self.model = model
+        self.temperature = temperature
+        self.top_p = top_p
+        self.top_k = top_k
+        self.frecuencia_penalizacion = frecuencia_penalizacion
+        self.num_tokens_maximos = num_tokens_maximos
+
+    @abstractmethod
+    async def responder(self, prompt: str, system_prompt: str = "", stream: bool = False,  **kwargs) -> str:
+        """
+        Devuelve una respuesta a partir de un prompt y configuración del modelo.
+        Este método debe implementarse de forma asíncrona en las subclases.
+        """
+        pass