setup project and example

.gitattributes

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app.py

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+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()