Update README.md

README.md

@@ -10,46 +10,126 @@ pinned: false
 license: mit
 ---
 
-# OSINT Tool 🏢
+# OSINT Tool & GitHub Repository Analysis
 
-An open-source intelligence (OSINT) tool designed to gather and analyze information from various sources.
-
-![GitHub stars](https://img.shields.io/github/stars/your-username/osint-tool?style=social)
-![GitHub forks](https://img.shields.io/github/forks/your-username/osint-tool?style=social)
-![Hugging Face Space](https://img.shields.io/badge/Hugging%20Face-OSINT%20Tool-FFD21E?style=flat-square&logo=huggingface&logoColor=000)
+## Overview
+This project is designed to perform Open Source Intelligence (OSINT) analysis on GitHub repositories and fetch titles from URLs. It also provides functionalities to upload datasets in CSV format for fine-tuning machine learning models. Currently, it supports fine-tuning models like `distilbert-base-uncased` for sequence classification tasks.
 
 ## Features
+- **GitHub Repository Analysis**: Analyze GitHub repositories by entering the repository owner and name.
+- **URL Title Fetcher**: Fetch titles from given URLs.
+- **Dataset Upload & Model Fine-Tuning**: Upload CSV files for fine-tuning models and perform sequence classification tasks.
+
+## Prerequisites
+Before running the project, make sure you have the following dependencies installed:
+
+- Python 3.6 or higher
+- PyTorch (for model fine-tuning)
+- Hugging Face Transformers
+- Other dependencies listed in `requirements.txt`
+
+## Badges
+![Build Status](https://img.shields.io/github/workflow/status/canstralian/osint-tool/CI)
+![Code Coverage](https://img.shields.io/codecov/c/github/canstralian/osint-tool)
+![License](https://img.shields.io/github/license/canstralian/osint-tool)
+
+## Installation
+
+### 1. Clone the repository
+
+```bash
+git clone https://github.com/<username>/<repository>.git
+cd <repository>
+```
+
+### 2. Create and activate a virtual environment
+
+For Linux/MacOS:
+
+```bash
+python3 -m venv venv
+source venv/bin/activate
+```
+
+For Windows:
+
+```bash
+python -m venv venv
+.\venv\Scripts\activate
+```
+
+### 3. Install dependencies
+
+```bash
+pip install -r requirements.txt
+```
 
-- **Multi-threaded Scanning**: Efficiently scans multiple sources concurrently.
-- **Data Processing**: Extracts and processes valuable information using regular expressions.
-- **Reporting**: Generates comprehensive reports in JSON and CSV formats.
-- **User Interface**: Interactive interface built with Streamlit for easy interaction.
+### 4. Install PyTorch (if not already installed)
 
-## Setup
+```bash
+pip install torch
+```
 
-1. Clone the repository:
+## Usage
 
-   ```bash
-   git clone https://github.com/your-username/osint-tool.git
-   cd osint-tool
-   ```
+### Running the Application
 
-2. Install the required dependencies:
+To run the application, simply execute the following command:
 
-   ```bash
-   pip install -r requirements.txt
-   ```
+```bash
+python app.py
+```
 
-3. Run the Streamlit app:
+### Features
 
-   ```bash
-   streamlit run app.py
-   ```
+#### GitHub Repository Analysis
+
+1. Enter the GitHub repository owner and name.
+2. The application will fetch details and analyze the repository.
+
+#### URL Title Fetcher
+
+1. Enter a URL, and the application will fetch the title of the page.
+
+#### Dataset Upload & Model Fine-Tuning
+
+1. Upload a CSV file (limit 200MB).
+2. Select the model for fine-tuning (e.g., `distilbert-base-uncased`).
+3. Fine-tune the model for sequence classification tasks.
+
+### Example CSV Format for Fine-Tuning
+
+```csv
+text,label
+"This is an example sentence.",1
+"This is another example.",0
+```
+
+### Running the Model Fine-Tuning
+
+```bash
+python fine_tune.py --model distilbert-base-uncased --data dataset.csv
+```
 
 ## Contributing
 
-Contributions are welcome! Please fork the repository and submit a pull request with your proposed changes.
+Contributions are welcome! Please open an issue or submit a pull request with your suggestions or fixes.
+
+### Steps to Contribute
+
+1. Fork the repository.
+2. Clone your fork: `git clone https://github.com/<your-username>/<repository>.git`
+3. Create a branch: `git checkout -b feature/your-feature`
+4. Commit your changes: `git commit -m "Add feature"`
+5. Push to the branch: `git push origin feature/your-feature`
+6. Open a pull request.
 
 ## License
 
 This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+## Acknowledgments
+
+- [Hugging Face](https://huggingface.co/) for providing the pre-trained models.
+- [PyTorch](https://pytorch.org/) for deep learning frameworks.
+- [Shields.io](https://shields.io/) for providing awesome badges.