readme

README.md

@@ -11,3 +11,36 @@ license: apache-2.0
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+#LLMlocal's Text Tokenization Tool
+
+##Introduction
+
+LLMlocal's Text Tokenization Tool is a user-friendly application designed to tokenize large bodies of text using various methods. This tool is built using Gradio, a Python library that allows the easy creation of web interfaces for machine learning models.
+
+##Features
+Tokenization Method Selection: Users can select different text tokenization methods. The current version supports the RecursiveCharacterTextSplitter method.
+Customizable Parameters: Users have the flexibility to set parameters like chunk size, chunk overlap, and the number of chunks to display.
+Interactive Interface: The tool features an intuitive interface with dropdowns, textboxes, and number inputs for easy interaction.
+Installation
+Before using the tool, ensure you have Python and the necessary packages installed. You can install the required packages using the following command:
+
+bash'
+pip install gradio pandas langchain'
+
+##Usage
+To use the tool, follow these simple steps:
+
+Launch the Tool: Run the provided Python script. This will launch the Gradio interface in your default web browser.
+Select a Tokenization Method: Choose the desired method from the dropdown menu.
+Enter Text: Type or paste the text you want to tokenize in the textbox.
+Set Parameters: Adjust the chunk size, chunk overlap, and the number of chunks as per your requirements.
+View Results: The tokenized text will be displayed in a table format with details such as chunk number, text chunk, character count, and token count.
+Contributing
+Feedback and contributions to enhance the tool are always welcome. Please feel free to raise issues or submit pull requests on the repository.
+
+##License
+This tool is open-source and available under apache-2.0 .
+
+Acknowledgments
+Thanks to the developers of Gradio, Pandas, and Langchain for providing the libraries that made this tool possible.