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- license: mit
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+ license: mit
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+ ---
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+ This will open a GUI. From there:
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+ 1. πŸ“‚ Click "Open Text File" to select your text file.
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+ 2. πŸ” Click "Identify Quotes" to process the file.
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+ 3. πŸ–₯️ A new window will open showing the text with identified quotes highlighted.
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+ ## πŸ“ Included Files
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+ - `quote_identifier.py`: The main Python script 🐍
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+ - `quotation_identifer_model/`: Directory containing the pre-trained model 🧠
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+ - `checkpoint-1000/`: The model checkpoint βœ…
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+ - `sample_book.txt`: A sample text file to test the program πŸ“˜
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+
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+ ## πŸ€— Hugging Face Repository
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+ The Hugging Face repository for this project includes:
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+ 1. 🧠 The pre-trained quote identification model
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+ 2. πŸ“˜ A sample text file (`sample_book.txt`)
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+ 3. 🐍 The `quote_identifier.py` script
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+ 4. πŸ“„ This README
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+
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+ ## πŸ“ Notes
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+ - The program uses a local model stored in `./quotation_identifer_model/checkpoint-1000/`. Ensure this directory is present.
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+ - The program will create a `BERT_infrence_quote_input.csv` file in the same directory when processing a text file.
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+ - πŸŒ“ You can toggle between light and dark modes using the "Toggle Dark Mode" button.
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+ ## πŸ†˜ Troubleshooting
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+ If you encounter any issues:
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+ - πŸ“¦ Ensure all required packages are installed correctly.
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+ - πŸ—‚οΈ Check that the model directory is present and contains the necessary files.
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+ - 🐍 Verify that you're using Python 3.10.
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+ For further assistance, please open an issue in the GitHub repository. πŸ™‹β€β™‚οΈπŸ™‹β€β™€οΈ