Update app.py

app.py

@@ -13,6 +13,7 @@ from numpy import ndarray
 from qdrant_client import QdrantClient, models
 from llama_cpp import Llama, GGML_TYPE_I8
 from optimum_encoder import OptimumEncoder
+from fastembed_encoder import FastEmbedEncoder
 from unstructured.partition.auto import partition
 from statistical_chunker import StatisticalChunker
 from fastembed import SparseEmbedding, SparseTextEmbedding
@@ -141,6 +142,10 @@ def load_models_and_documents():
             #device="cuda",
             #cache_dir=os.getenv('HF_HOME')
         #)
+
+        dense_model = FastEmbedEncoder(
+            name=
+        )
         
         sparse_model = SparseTextEmbedding(
             'Qdrant/bm42-all-minilm-l6-v2-attentions',