Create app.py

app.py

@@ -0,0 +1,24 @@
+import cv2
+import numpy as np
+import matplotlib.pyplot as plt
+import gradio as gr
+
+def imagen(image):
+    print(type(image),image.dtype)
+    #image = cv2.imread(np.uint8(image))
+    print(f"Image shape: {image.shape}\nImage dtype {image.dtype}")
+    image= cv2.cvtColor(image,cv2.COLOR_BGR2RGB)
+    grayImage = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
+    grayImage = cv2.GaussianBlur(grayImage, (3, 3), 0)
+    edgeImage = cv2.Laplacian(grayImage, -1, ksize=5)
+    edgeImage = 255 - edgeImage
+    ret, edgeImage = cv2.threshold(edgeImage, 150, 255, cv2.THRESH_BINARY)
+    edgePreservingImage = cv2.edgePreservingFilter(image, flags=2, sigma_s=50, sigma_r=0.4)
+    output = np.zeros(grayImage.shape)
+    output = cv2.bitwise_and(edgePreservingImage, edgePreservingImage, mask=edgeImage)
+    candidate = cv2.cvtColor(output,cv2.COLOR_RGB2BGR)
+    #cv2.imwrite('candidate.png',candidate)
+    return candidate
+
+interface = gr.Interface(imagen,inputs = gr.inputs.Image(shape=(1024,1024)),outputs = "image")
+interface.launch(share=True)