frontend añadido y backend de creacion de notas

domains/embedder.py

@@ -0,0 +1,26 @@
+# embedder_nomic.py
+from transformers import AutoTokenizer, AutoModel
+import torch
+
+class NomicEmbedder:
+    _instance = None
+
+    def __init__(self, model_path: str = ".model/nomic-embed-text-v1.5"):
+        # Load model only once
+        self.tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
+        self.model = AutoModel.from_pretrained(model_path, trust_remote_code=True)
+
+    @classmethod
+    def get_instance(cls) -> "NomicEmbedder":
+        if cls._instance is None:
+            cls._instance = NomicEmbedder()
+        return cls._instance
+
+    def embed(self, text: str) -> list[float]:
+        """Generate embedding from text"""
+        inputs = self.tokenizer(
+            [text], return_tensors="pt", padding=True, truncation=True, max_length=8192
+        )
+        with torch.no_grad():
+            embedding = self.model(**inputs).last_hidden_state.mean(dim=1).squeeze()
+        return embedding.tolist()