Skyhighque commited on
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3eadb91
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  1. app.py +0 -1
app.py CHANGED
@@ -35,7 +35,6 @@ cleaned_chunks = preprocess_text(recycling_text, aqi_text)
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  model = SentenceTransformer('all-MiniLM-L6-v2')
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  def create_embeddings(text_chunks):
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-   # Convert each text chunk into a vector embedding and store as a tensor
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    chunk_embeddings = model.encode(text_chunks, convert_to_tensor=True) # Replace ... with the text_chunks list
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    # Print the chunk embeddings
 
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  model = SentenceTransformer('all-MiniLM-L6-v2')
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  def create_embeddings(text_chunks):
 
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    chunk_embeddings = model.encode(text_chunks, convert_to_tensor=True) # Replace ... with the text_chunks list
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    # Print the chunk embeddings