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This video demonstrates how to use the Text Input CSV to Excel Converter template.
import logging
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app
# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()
class StandaloneApplication(BaseApplication):
def __init__(self, app, options=None):
self.application = app
self.options = options or {}
super().__init__()
def load_config(self):
# Apply configuration to Gunicorn
for key, value in self.options.items():
if key in self.cfg.settings and value is not None:
self.cfg.set(key.lower(), value)
def load(self):Created: | Last Updated:
Here's a step-by-step guide for using the CSV to Excel Converter template:
Introduction
The CSV to Excel Converter is a web application that allows users to easily convert CSV-formatted text into downloadable Excel files. This template provides a simple interface for users to input their CSV data and receive a converted Excel file with just a click.
Getting Started
- Click "Start with this Template" to begin using the CSV to Excel Converter template in the Lazy Builder interface.
Test the Application
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Press the "Test" button in the Lazy Builder interface to deploy and launch the application.
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Once the deployment is complete, Lazy will provide you with a dedicated server link to access the web application.
Using the CSV to Excel Converter
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Open the provided server link in your web browser to access the CSV to Excel Converter interface.
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You'll see a text area where you can enter your CSV data. The placeholder text provides an example of the expected format:
Name,Age,City
John,25,New York
Jane,30,London
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Enter your CSV data into the text area, following the format shown in the example.
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Once you've entered your CSV data, click the "Download Excel" button.
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The application will process your CSV data and generate an Excel file. Your browser will automatically download the converted file named "converted.xlsx".
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Open the downloaded Excel file to verify that your CSV data has been correctly converted.
Additional Notes
- The application supports multiple rows and columns of CSV data.
- Make sure your CSV data is properly formatted with commas separating each value and new lines for each row.
- If you encounter any issues with the conversion, double-check that your CSV data is correctly formatted and try again.
By following these steps, you can easily convert CSV data to Excel format using this template. The application provides a straightforward way to transform your data without the need for complex software or manual conversion processes.
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