Update README.md
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## DataSet_Visualizer
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The `DataSet_Visualizer` node is designed to visualize datasets by generating a word cloud, a network graph, and a frequency table from tag contents provided in text files.
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#### Inputs
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## DataSet_CopyFiles
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The `DataSet_CopyFiles` node provides a methods to copy files from a source folder to a destination folder based on different copying modes: blind copy and copy by matching destination files.
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#### Inputs
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## DataSet_TriggerWords
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The `DataSet_TriggerWords` node is designed to identify and extract trigger words or phrases from text file contents. Trigger words are identified based on the presence of digits within the words.
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#### Inputs
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## DataSet_TextFilesLoadFromList
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The `DataSet_TextFilesLoadFromList` node is designed to load and read contents from a list of text file paths. It extracts file names, file names without extensions, file paths, and file contents.
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#### Inputs
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## DataSet_TextFilesLoad
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The `DataSet_TextFilesLoad` node is designed to load and read contents from text files within a specified directory. It extracts file names, file names without extensions, file paths, and file contents.
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#### Inputs
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## DataSet_TextFilesSave
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### Overview
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The `DataSet_TextFilesSave` node is designed to save text file contents to a specified directory with various saving modes. It supports overwriting, merging, creating new files, and merging before saving new files.
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- This class does not produce any output types.
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## DataSet_FindAndReplace
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The `DataSet_FindAndReplace` node facilitates finding and replacing specific text patterns within text file contents.
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## DataSet_PathSelector
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The `DataSet_PathSelector` node is designed to search for files with specific extensions in one directory and then select files with matching names (excluding extensions) from another directory.
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#### Inputs
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## DataSet_ConceptManager
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The `DataSet_ConceptManager` node is designed to manage concepts within text file contents. It allows adding or removing specified concepts at defined positions.
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#### Inputs
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## DataSet_OpenAIChat
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The `DataSet_OpenAIChat` node integrates with the OpenAI API to generate responses based on given prompts using various GPT models.
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#### Inputs
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## DataSet_LoadImage
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The `DataSet_LoadImage` node provides functionality to load and process images from a specified directory using Pillow and numpy.
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#### Inputs
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## DataSet_SaveImage
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The `DataSet_SaveImage` node facilitates batch saving of images to a specified directory with optional PNG metadata using Pillow and numpy.
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#### Inputs
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## DataSet_OpenAIChatImage
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The `DataSet_OpenAIChatImage` node integrates image input with OpenAI's chat API for generating text-based responses.
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#### Inputs
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## DataSet_OpenAIChatImageBatch
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The `DataSet_OpenAIChatImageBatch` class extends the functionality of `DataSet_OpenAIChatImage` to process batches of images with OpenAI's chat API for generating text-based responses.
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#### Inputs
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