feat: Implement text manager API and database connection

- Added `text_manager.py` to handle the creation of text libraries via FastAPI.
- Introduced database connection management in `conexion.py` using PostgreSQL credentials from environment variables.
- Created abstract base class `EmbedderABC` in `Base_Embedder.py` for embedding models.
- Developed `OpenAIEmbedder` class to generate embeddings using OpenAI's API.
- Implemented `OpenAIEmbedderModel` and repository pattern for managing OpenAI embedders in `Openai_embedder_mmr.py`.
- Established `Biblioteca` class for managing text libraries and their associated notes in `biblioteca.py`.
- Created SQLAlchemy models and mappers for `Biblioteca` and `Nota` in `biblioteca_mmr.py` and `notas_biblioteca_mmr.py`.
- Added functionality for dynamic table generation for notes associated with libraries.
- Included comprehensive methods for adding, retrieving, and managing notes and libraries in their respective repositories.

Apikeys.ipynb

@@ -5,15 +5,7 @@
    "execution_count": 1,
    "id": "26aa8e2b",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "✅ Credencial: Credencial_enmanuel\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from src.ApiKeys.openai_apikey import OpenAICredencial\n",
     "from src.ApiKeys.openai_apikey_mmr import OpenAICredencialRepo  # Ajusta si está en otro módulo\n",
@@ -24,14 +16,61 @@
     "conexion_admin = PostgresConexion(db_credencial)\n",
     "\n",
     "# 3. Guardar la credencial en la base de datos\n",
-    "repo = OpenAICredencialRepo(conexion_admin)\n",
-    "credencial_openai = repo.get_by_id(1)\n",
+    "repo = OpenAICredencialRepo(conexion_admin)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4c232ecd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'OPAK20250510-ac2cea8af3110632314'"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# apikey_gpt = OpenAICredencial(titulo=\"Credencial_enmanuel_gpt\")\n",
+    "# repo.add(apikey_gpt)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "32552452",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✅ Credencial: Credencial_enmanuel_gpt\n"
+     ]
+    }
+   ],
+   "source": [
+    "credencial_openai = repo.get_by_id('OPAK20250510-ac2cea8af3110632314')\n",
     "print(f\"✅ Credencial: {credencial_openai.titulo}\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
+   "id": "7464fa65",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "id": "e5b665a6",
    "metadata": {},
    "outputs": [],