wb-droid commited on
Commit
a6bffe9
·
1 Parent(s): 6ae201e
Files changed (1) hide show
  1. app.py +4 -3
app.py CHANGED
@@ -115,10 +115,8 @@ class TrainStudent(nn.Module):
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  mse = (emb_student - emb_teacher).pow(2).mean()
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  return mse
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- chunk_data = generate_chunk_data(["AI","moon","brain"])
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  student_model=torch.load("myTextEmbeddingStudent.pt",map_location='cpu').student_model.eval()
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- # create the embedding vector database
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- chunk_emb = generate_chunk_emb(student_model, chunk_data)
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  #new_chunk_data = []
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  #new_chunk_emb = tensor([])
@@ -133,6 +131,9 @@ def search(input, user_concepts):
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  new_chunk_emb = generate_chunk_emb(student_model, new_chunk_data)
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  result = search_document(input, new_chunk_data, new_chunk_emb, student_model)
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  else:
 
 
 
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  result = search_document(input, chunk_data, chunk_emb, student_model)
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  return " ".join(result)
 
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  mse = (emb_student - emb_teacher).pow(2).mean()
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  return mse
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  student_model=torch.load("myTextEmbeddingStudent.pt",map_location='cpu').student_model.eval()
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+
 
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  #new_chunk_data = []
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  #new_chunk_emb = tensor([])
 
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  new_chunk_emb = generate_chunk_emb(student_model, new_chunk_data)
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  result = search_document(input, new_chunk_data, new_chunk_emb, student_model)
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  else:
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+ chunk_data = generate_chunk_data(["machine learning","moon","brain"])
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+ # create the embedding vector database
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+ chunk_emb = generate_chunk_emb(student_model, chunk_data)
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  result = search_document(input, chunk_data, chunk_emb, student_model)
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  return " ".join(result)