Update app.py

app.py

@@ -7,7 +7,7 @@ from sentence_transformers.quantization import quantize_embeddings
 import torch.nn.functional as F
 
 # 1. Specify preffered dimensions
-dimensions = 512
+# dimensions = 512
 
 # # 2. load model
 # model = SentenceTransformer("mixedbread-ai/mxbai-embed-large-v1", truncate_dim=dimensions)
@@ -44,8 +44,8 @@ class EmbeddingRequest(BaseModel):
 
 
 models = {
-    "mxbai-embed-large":SentenceTransformer("mixedbread-ai/mxbai-embed-large-v1", truncate_dim=dimensions),
-    "nomic-embed-text": SentenceTransformer("nomic-ai/nomic-embed-text-v1.5", trust_remote_code=True, truncate_dim=dimensions)
+    "mxbai-embed-large":SentenceTransformer("mixedbread-ai/mxbai-embed-large-v1"),
+    "nomic-embed-text": SentenceTransformer("nomic-ai/nomic-embed-text-v1.5", trust_remote_code=True)
 }