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tresdtres/recursive_wildcards
recursive_wildcards is a machine learning model from tresdtres. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
How it Works The user selects an input file to edit. The user enters the desired text to be added at the beginning and the end of each line. The user specifies the output file path where the modified file will be save…
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Updated Jun 13, 2023
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From the Hugging Face model README
How it Works The user selects an input file to edit. The user enters the desired text to be added at the beginning and the end of each line. The user specifies the output file path where the modified file will be saved. Clicking the "Edit File" button triggers the editing process. The program reads the contents of the input file. Each line in the input file is modified by adding the specified text at the beginning and the end. The modified lines are written to the output file. The user can then access the modified file from the specified output file path.
To run this program, you need the following:
Python (version 3.6 or higher) Gradio (install using pip install gradio) You can execute the program in either a local Jupyter notebook environment or Google Colab.
Install Python and Gradio if you haven't already. Clone or download the project from the GitHub repository. Open the file editor.ipynb notebook in a Jupyter notebook environment or upload it to Google Colab. Run the notebook cells to execute the program. Follow the instructions on the notebook interface to edit files.
This project is open to contributions. If you find any issues or have suggestions for improvements, please feel free to create a pull request or open an issue on the GitHub repository.