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| import gradio as gr | |
| transformer_model = "huggingface/google/vit-base-patch16-224" | |
| Instructuction = "Browse the internet to download any unique image" | |
| title="Simple Image classification playground" | |
| description = "Drop an image to classify, then observe how the machine learning model\ | |
| is able to show the percentages for different class predictions made." | |
| article = """ | |
| - Select an image from the examples provided as demo image | |
| - Click submit button to make Image classification | |
| - Click clear button to try new Image for classification | |
| """ | |
| # Gradio app design | |
| interface = gr.Interface.load( | |
| transformer_model, | |
| title = title, | |
| description = description, | |
| article = article, | |
| allow_flagging = "never", | |
| theme = "peach", | |
| live = False, | |
| examples=["examples-jpg/example_image1.png", | |
| "examples-jpg/example_image2.jpg", | |
| "examples-jpg/example_image3.jpg"] | |
| ) | |
| interface.launch() |