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  _\\-------- **Image Data Extractor** -------\\_
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  _\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\_
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  # Overview:
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  The **Image Data Extractor** is a Python-based tool designed to extract and structure text data from images of visiting cards using **PaddleOCR**. The tool processes the extracted text to recognize key information such as name, designation, contact number, address, and company name, organizing the output into a well-defined structure. The **Mistral 7B model** is used for advanced text analysis, and if it becomes unavailable, the system seamlessly switches to the **Gliner urchade/gliner_mediumv2.1** model.
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  β”‚ β”‚ └── run_evaluation.py
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  β”‚ β”‚ └── span_rep.py
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  β”‚ β”‚ └── token_rep.py
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- β”‚ β”œβ”€β”€ backup.py # Backup handling
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- β”‚ └── model.py # Gliner Model integration and backup logic
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- β”‚ └── save_load.py # Mistral 7B model integration and backup logic
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- β”‚ └── train.py # Mistral 7B model integration and backup logic
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  β”‚
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  └── .env # Environment variables (includes Hugging Face token)
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  ```
 
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  _\\-------- **Image Data Extractor** -------\\_
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  _\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\_
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+ ---
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  # Overview:
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  The **Image Data Extractor** is a Python-based tool designed to extract and structure text data from images of visiting cards using **PaddleOCR**. The tool processes the extracted text to recognize key information such as name, designation, contact number, address, and company name, organizing the output into a well-defined structure. The **Mistral 7B model** is used for advanced text analysis, and if it becomes unavailable, the system seamlessly switches to the **Gliner urchade/gliner_mediumv2.1** model.
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  β”‚ β”‚ └── run_evaluation.py
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  β”‚ β”‚ └── span_rep.py
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  β”‚ β”‚ └── token_rep.py
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+ β”‚ β”œβ”€β”€ backup.py # Backup handling Gliner Model integration and backup logic
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+ β”‚ └── model.py
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+ β”‚ └── save_load.py
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+ β”‚ └── train.py
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  β”‚
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  └── .env # Environment variables (includes Hugging Face token)
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  ```