Joe Shamon commited on
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Update README.md

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@@ -35,8 +35,6 @@ pip install -r requirements.txt
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  Use the CodeChunker class to chunk a specific code file. You can specify the file extension and token limit for chunking.
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  Example:
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  ```py
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- from backend.app.util.TextChunker.Chunker import CodeChunker
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-
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  chunker = CodeChunker(file_extension='py', encoding_name='gpt-4')
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  chunks = chunker.chunk(your_code_here, token_limit=1000)
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  CodeChunker.print_chunks(chunks)
@@ -46,8 +44,6 @@ CodeChunker.print_chunks(chunks)
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  The CodeParser class allows you to parse code to identify points of interest and comments, which can then be used for chunking or other analysis.
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  Example:
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  ```
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- from backend.app.util.CodeParsing.CodeParser import CodeParser
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-
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  parser = CodeParser(['py'])
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  tree = parser.parse_code(your_code_here, 'py')
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  points_of_interest = parser.extract_points_of_interest(tree, 'py')
 
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  Use the CodeChunker class to chunk a specific code file. You can specify the file extension and token limit for chunking.
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  Example:
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  ```py
 
 
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  chunker = CodeChunker(file_extension='py', encoding_name='gpt-4')
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  chunks = chunker.chunk(your_code_here, token_limit=1000)
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  CodeChunker.print_chunks(chunks)
 
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  The CodeParser class allows you to parse code to identify points of interest and comments, which can then be used for chunking or other analysis.
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  Example:
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  ```
 
 
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  parser = CodeParser(['py'])
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  tree = parser.parse_code(your_code_here, 'py')
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  points_of_interest = parser.extract_points_of_interest(tree, 'py')