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Update app.py

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  1. app.py +0 -1
app.py CHANGED
@@ -43,7 +43,6 @@ def preprocess_text(text):
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  cleaned_chunks = preprocess_text(water_cycle_text) # Complete this line; edit with my knowledgebase when ready
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  # SEMANTIC SEARCH STEP 4
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- # Load the pre-trained embedding model that converts text to vectors
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  model = SentenceTransformer('all-MiniLM-L6-v2')
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  def create_embeddings(text_chunks):
 
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  cleaned_chunks = preprocess_text(water_cycle_text) # Complete this line; edit with my knowledgebase when ready
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  # SEMANTIC SEARCH STEP 4
 
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  model = SentenceTransformer('all-MiniLM-L6-v2')
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  def create_embeddings(text_chunks):