feat: Implement main application shell with navigation and color scheme toggle

- Added Appshell component with responsive navbar and main content area
- Integrated ColorSchemeToggle for light/dark mode switching
- Created Welcome component with styled title and introductory text
- Developed ChatPage for LLM interaction with WebSocket support
- Implemented Biblioteca for managing notes with rich text editor
- Added LoginPage for user authentication with error handling
- Introduced MessageList and MessageBubble components for chat messages
- Styled components with CSS modules for consistent design

domains/Llms/Embedders/Openai_embedder.py

@@ -0,0 +1,32 @@
+from typing import List
+from domains.Llms.Embedders.Base_Embedder import EmbedderABC  # Asegúrate de que EmbedderABC esté en este módulo
+from domains.ApiKeys.openai_apikey import OpenAICredencial
+from domains.ConexionApis.OpenAi_conexion import OpenAICliente
+from domains.Security.GenerarIDs import GeneradorIDUnico
+
+class OpenAIEmbedder(EmbedderABC):
+    def __init__(self, credencial: OpenAICredencial,
+                  model: str,
+                  id: str = None):
+        self.model = model
+        self.client = OpenAICliente(credencial)
+        self._dimension = None  # Lazy loading
+        self.id = id if id is not None else GeneradorIDUnico("OAMB").generar()
+
+    def encoder(self, text: str) -> List[float]:
+        """
+        Genera los embeddings para un texto dado utilizando el modelo de OpenAI.
+        """
+        response = self.client.embedding(model=self.model, input=text)
+        embedding = response.data[0].embedding
+        if self._dimension is None:
+            self._dimension = len(embedding)
+        return embedding
+
+    def dimension_number(self) -> int:
+        """
+        Devuelve la dimensión del modelo de embedding, generando un embedding si no se ha calculado aún.
+        """
+        if self._dimension is None:
+            _ = self.encoder("dimension_check")
+        return self._dimension