Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import pipeline
+from PIL import Image, ImageFilter
+import numpy as np
+
+pipe = pipeline(task="depth-estimation", model="LiheYoung/depth-anything-small-hf")
+
+def blur_img(img, blur):
+    depth = pipe(img)["depth"]
+    depth_array = np.array(depth) / 255.0
+    blurred_image_pil = img.filter(ImageFilter.GaussianBlur(blur))
+    blurred_image_array = np.array(blurred_image_pil)
+    mask_array = np.expand_dims(depth_array, axis=-1)
+    result_array = np.uint8(np.array(img) * mask_array + blurred_image_array * (1 - mask_array))
+    result_pil = Image.fromarray(result_array)
+    return result_pil
+    
+#interface
+inputs = [
+    gr.inputs.Image(type="pil", label="Input Image"),
+    gr.inputs.Slider(minimum=0, maximum=10, default=5, label="Blur Amount", step=1)
+]
+
+output = gr.outputs.Image(type="pil", label="Blurred Image")
+
+gr.Interface(fn=blur_img, inputs=inputs, outputs=output, title="Depth-Based Image Blurring", 
+             description="Upload an image and adjust the blur amount using the slider.").launch()