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This video demonstrates how to use the Image Color Analyzer template.
import logging
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app
# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()
# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
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 Image Color Analyzer template:
Introduction
The Image Color Analyzer is a web application that allows users to upload images and analyze their primary colors. It provides visual swatches and percentage data for the top 5 colors in the uploaded image.
Getting Started
- Click "Start with this Template" to begin using the Image Color Analyzer template in Lazy.
Test the Application
-
Press the "Test" button in the Lazy interface to deploy and launch the application.
-
Once the deployment is complete, Lazy will provide you with a dedicated server link to access the web application.
Using the Image Color Analyzer
-
Open the provided server link in your web browser to access the Image Color Analyzer interface.
-
You'll see a simple interface with the following elements:
- A title: "Image Color Analysis Tool"
-
An upload form with a file input and a submit button
-
To analyze an image:
- Click the "Choose File" button and select an image from your device.
-
Click the "Upload and Analyze" button to process the image.
-
After processing, the application will display the results:
- Color swatches for the top 5 colors in the image
- Percentage breakdown of each color's presence in the image
Integration (Optional)
The Image Color Analyzer is a standalone web application and doesn't require integration with external tools. However, if you want to embed this functionality in another web application, you can use the following steps:
-
Host the Image Color Analyzer on your Lazy instance.
-
In your main application, create a form that sends a POST request to the
/uploadendpoint of the Image Color Analyzer. The form should include a file input for the image. -
Handle the JSON response from the
/uploadendpoint, which will contain the color analysis data. -
Display the results in your main application as desired.
Here's a sample code snippet for sending a request to the Image Color Analyzer API:
```javascript async function analyzeImage(imageFile) { const formData = new FormData(); formData.append('image', imageFile);
const response = await fetch('https://your-lazy-app-url.com/upload', { method: 'POST', body: formData });
if (response.ok) { const data = await response.json(); // Process and display the color analysis data console.log(data.colors); } else { console.error('Image analysis failed'); } } ```
This code snippet demonstrates how to send an image file to the Image Color Analyzer API and receive the color analysis results.
By following these steps, you can effectively use the Image Color Analyzer template to analyze the primary colors in uploaded images and display the results to your users.
