Update app.py

app.py

@@ -4,7 +4,7 @@ import cv2
 import numpy as np
 
 # Function for image augmentation
-def augment_image(image, flip=False, rotate=0, brightness=1.0, noise=0, elastic=False):
+def augment_image(image, flip=False, rotate=0, brightness=1.0, noise=0, elastic=False, alpha=1.0, sigma=50):
     image = np.array(image)
     
     aug_list = []
@@ -21,7 +21,7 @@ def augment_image(image, flip=False, rotate=0, brightness=1.0, noise=0, elastic=
         aug_list.append(A.GaussNoise(var_limit=(noise, noise), p=1.0))
     
     if elastic:
-        aug_list.append(A.ElasticTransform(alpha=1, sigma=50, alpha_affine=50, p=1.0))
+        aug_list.append(A.ElasticTransform(alpha=alpha, sigma=sigma, alpha_affine=None, p=1.0))
     
     aug = A.Compose(aug_list)
     augmented = aug(image=image)
@@ -29,8 +29,8 @@ def augment_image(image, flip=False, rotate=0, brightness=1.0, noise=0, elastic=
     return augmented["image"]
 
 # Gradio Interface
-def image_augmentor_interface(image, flip, rotate, brightness, noise, elastic):
-    augmented_image = augment_image(image, flip, rotate, brightness, noise, elastic)
+def image_augmentor_interface(image, flip, rotate, brightness, noise, elastic, alpha, sigma):
+    augmented_image = augment_image(image, flip, rotate, brightness, noise, elastic, alpha, sigma)
     return augmented_image
 
 iface = gr.Interface(
@@ -41,10 +41,12 @@ iface = gr.Interface(
         gr.Slider(0, 360, label="Rotate Degrees"),
         gr.Slider(0.5, 1.5, step=0.1, label="Brightness Adjustment"),
         gr.Slider(0, 100, step=1, label="Noise Scale"),
-        gr.Checkbox(label="Elastic Distortion")
+        gr.Checkbox(label="Elastic Distortion"),
+        gr.Slider(1.0, 200.0, step=1.0, label="Elastic Alpha (distortion intensity)"),
+        gr.Slider(1.0, 100.0, step=1.0, label="Elastic Sigma (smoothness)")
     ],
     outputs="image",
     title="Image Augmentation with Gradio"
 )
 
-iface.launch()
+iface.launch(share=True)