README2.md

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      Spacy Model Creator
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# Overview:
This project is a comprehensive Resume Parsing tool built using Python,
integrating the Mistral-Nemo-Instruct-2407 model for primary parsing.

# Installation Guide:

1. Create and Activate a Virtual Environment
    python -m venv venv
    source venv/bin/activate  # For Linux/Mac
    # or
    venv\Scripts\activate  # For Windows

    # NOTE: If the virtual environment (venv) is already created, you can skip the creation step and just activate.
        - For Linux/Mac:
            source venv/bin/activate
        - For Windows:
            venv\Scripts\activate

2. Install Required Libraries
    pip install -r requirements.txt

    # Ensure the following dependencies are included:
    - Flask
    - spaCy
    - huggingface_hub
    - PyMuPDF
    - python-docx
    - Tesseract-OCR (for image-based parsing)

; NOTE : If any model or library is not installed, you can install it using:
    pip install <model_name>
    _Replace <model_name> with the specific model or library you need to install_

3. Set up Hugging Face Token
    - Add your Hugging Face token to the .env file as:
    HF_TOKEN=<your_huggingface_token>


# File Structure Overview:
    Spacy_Model_creator/
    │
    ├── Models/
    │   └── ner_model_05_3  # Pretrained spaCy model directory for resume parsing
    │    
    ├── data/
    │   └── Json_data.json 
    │   └── resume_text.txt
    │   └── Spacy_data.spacy
    │
    ├── templates/
    │   ├── anoter.html  
    │   └── result.html   
    │   └── guide.html
    │   └── savejson.html
    │   └── savespacy.html
    │   └── text.html
    │   └── upload.html
    │   └── data_files.html
    │
    ├── JSON/ 
    │   └── Json_data.json 
    │
    ├── utils/
    │   ├── model.py  # Code for calling Mistral API and handling responses
    │   ├── json_to_spacy.py  # spaCy fallback model for parsing resumes
    │   ├── anoter_to_json.py  # Error handling utilities
    │   └── file_To_text.py  # Functions to extract text from different file formats (PDF, DOCX, etc.)
    │
    ├── venv/  # Virtual environment
    │
    ├── .env  # Environment variables file (contains Hugging Face token)
    │
    ├── app.py  # Flask app handling API routes for uploading and processing resumes
    │
    └── requirements.txt  # Dependencies required for the project

# References:

- [Flask Documentation](https://flask.palletsprojects.com/)
- [spaCy Documentation](https://spacy.io/usage)
- [Hugging Face Hub API](https://huggingface.co/docs/huggingface_hub/index)
- [PyMuPDF (MuPDF) Documentation](https://pymupdf.readthedocs.io/en/latest/)
- [python-docx Documentation](https://python-docx.readthedocs.io/en/latest/)
- [Tesseract OCR Documentation](https://github.com/UB-Mannheim/tesseract/wiki)
- [Virtual Environments in Python](https://docs.python.org/3/tutorial/venv.html)