devve1 commited on
Commit
1f9cfab
1 Parent(s): bace1d5

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -29,7 +29,7 @@ from qdrant_client.models import (
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  ScoredPoint,
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  )
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- def make_points(texts: List, metadatas: List, dense: List[ndarray], sparse: List[SparseEmbedding])-> List[PointStruct]:
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  points = []
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  for idx, (text, metadata, sparse_vector, dense_vector) in enumerate(zip(texts, metadatas, sparse, dense)):
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  sparse_vec = SparseVector(indices=sparse_vector.indices.tolist(), values=sparse_vector.values.tolist())
@@ -346,7 +346,7 @@ def chunk_documents(texts, metadatas, dense_model, sparse_model):
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  documents = []
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  metadatas_docs = []
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- def create_document(text: str, i: int, _metadatas: List):
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  index = -1
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  for chunk in text_splitter.split_text(text):
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  metadata = copy.deepcopy(_metadatas[i])
 
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  ScoredPoint,
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  )
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+ def make_points(texts, metadatas, dense: List[ndarray], sparse: List[SparseEmbedding])-> List[PointStruct]:
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  points = []
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  for idx, (text, metadata, sparse_vector, dense_vector) in enumerate(zip(texts, metadatas, sparse, dense)):
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  sparse_vec = SparseVector(indices=sparse_vector.indices.tolist(), values=sparse_vector.values.tolist())
 
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  documents = []
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  metadatas_docs = []
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+ def create_document(text: str, i: int, _metadatas):
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  index = -1
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  for chunk in text_splitter.split_text(text):
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  metadata = copy.deepcopy(_metadatas[i])