diff --git a/.gitattributes b/.gitattributes
index bc86863c3baa4d2b96277811f33b90289d78fca7..971b8989ec25861789c21cba769e3eca3e250568 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -33,3 +33,71 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 volleyball_final.weights filter=lfs diff=lfs merge=lfs -text
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diff --git a/app.py b/app.py
new file mode 100644
index 0000000000000000000000000000000000000000..3d6a01a667cac71a8ac1b3095080a438c01a73ff
--- /dev/null
+++ b/app.py
@@ -0,0 +1,33 @@
+import gradio as gr
+from PIL import Image
+
+# model load
+
+
+def predict(inp):
+    inp = Image.fromarray(inp.astype('uint8'), 'RGB')
+
+    # preprocess input
+
+    # model predict
+
+    # convert to pil image or np array
+
+    # return the images
+    return inp # if you use many outputs `return a, b, ...`
+
+
+gr.Interface(
+    fn=predict,
+    inputs=[
+        gr.inputs.Image() # you can have many inputs
+    ],
+    outputs=[
+        gr.inputs.Image() # you can have many outputs
+    ],
+    title="Titolo",
+    description="Description of the app",
+    examples=[
+        "images/test_image1.jpg" # if you have many input use a list ["gabbiano.jpg", "other input", ...]
+    ]
+).launch()
diff --git a/images/test_image1.jpg b/images/test_image1.jpg
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