https://github.com/ur-code-buddy/smithy
This repository contains a Flask web application that displays categorized data from an Excel file. The data is dynamically presented in tables divided into Red, Blue, and Green categories, with each category section using the full width of the screen. The layout has been optimized to ensure readability and proper alignment of data.
https://github.com/ur-code-buddy/smithy
Last synced: about 1 month ago
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This repository contains a Flask web application that displays categorized data from an Excel file. The data is dynamically presented in tables divided into Red, Blue, and Green categories, with each category section using the full width of the screen. The layout has been optimized to ensure readability and proper alignment of data.
- Host: GitHub
- URL: https://github.com/ur-code-buddy/smithy
- Owner: Ur-Code-Buddy
- Created: 2024-08-26T17:02:23.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-09-05T03:40:07.000Z (10 months ago)
- Last Synced: 2024-12-26T03:27:40.477Z (6 months ago)
- Language: HTML
- Homepage:
- Size: 9.77 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Excel Data Display Web Application
This project is a web application built using Flask and Tailwind CSS. It displays data from an Excel file in a dynamic and styled manner. The application includes features such as refreshing data at set intervals and toggling fullscreen mode.
## Features
- **Data Display:** Displays data from an Excel file categorized into sections (Red, Blue, Green).
- **Refresh Interval:** Allows the user to set an interval for automatically refreshing the data.
- **Fullscreen Mode:** Toggle fullscreen mode to view data in an expanded layout.
- **Responsive Design:** Uses Tailwind CSS for a responsive and modern design.
## Installation
1. **Clone the repository:**
```bash
git clone https://github.com/your-username/your-repository.git
```
2. **Navigate to the project directory:**
```bash
cd your-repository
```
3. **Create and activate a virtual environment:**
```bash
python -m venv myvenv
source myvenv/bin/activate # On Windows use `myvenv\Scripts\activate`
```
4. **Install the dependencies:**
```bash
pip install -r requirements.txt
```
5. **Run the Flask application:**
```bash
flask run
```
The application will be available at `http://127.0.0.1:5000`.
## Usage
- **Refreshing Data:**
- Set the refresh interval (in seconds) using the input box and click "Set Interval."
- The data will automatically refresh based on the set interval.
- **Fullscreen Mode:**
- Click the fullscreen button in the top-right corner to enter fullscreen mode.
- Click again to exit fullscreen mode.
## Folder Structure
- `app.py`: The main Flask application file.
- `templates/`: Contains HTML templates.
- `static/`: Contains static files like CSS and JavaScript.
- `requirements.txt`: Lists the required Python packages.
## Dependencies
- Flask
- openpyxl
- Tailwind CSS (via CDN)
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Acknowledgements
- [Flask](https://flask.palletsprojects.com/)
- [openpyxl](https://openpyxl.readthedocs.io/en/stable/)
- [Tailwind CSS](https://tailwindcss.com/)