rw-book-cover

Metadata

Highlights

  • Gradio’s Image Component Use the image component if you need to upload or display image data. Image Input Component: • Users can upload an image from a file, webcam, or clipboard. • The uploaded image data is passed to the linked Gradio interface/blocks function as the datatype numpy.array, PIL.Image or str file path depending on components type= parameter. Image Output Component: • Displays an image to the user. • Displayed image data should be returned by the Gradio interface/blocks function as the datatype numpy.array, PIL.Image or str or pathlib.Path file path to an image. String Shortcut: “image” (View Highlight)
  • How To Use: The Gradio Image Component As An Input Component Task: Allow users to upload an image from a file, webcam, or clipboard. Datatype passed to Python function: numpy.array, PIL.Image or str file path. • The datatype used by the Image component can be controlled using the type= parameter. Image adapted from https://www.gradio.app/docs/image It’s important to remember that the default datatype used by the Gradio image component is numpy.array. This means that if you don’t set the datatype using the type=parameter, Gradio will automatically pass your image data to the function as *numpy.array.* (View Highlight)
  • type=”pil” *PIL.Image* “”pil” converts the image to a PIL image object” import gradio as gr def show_image(img): print(type(img)) return img app = gr.Interface( fn=show_image, inputs=gr.Image(label=“Input Image Component”, type=“pil”), # Set image componet’s type= parameter to “pil” PIL.Image outputs=gr.Image(label=“Output Image Component”), ) app.launch() Image of print() result in Python Console In the above code snippet, the image input component’s type=parameter is set as “pil”. In this case, the image input component will always pass the image data to the Python function as a PIL.Image object. (View Highlight)
  • type=”str” str ““filepath” passes a str path to a temporary file containing the image.” import gradio as gr def show_image(img): print(type(img)) print(img) return img app = gr.Interface( fn=show_image, inputs=gr.Image(label=“Input Image Component”, type=“filepath”), # Set image componet’s type= parameter to “filepath” str outputs=gr.Image(label=“Output Image Component”), ) app.launch() (View Highlight)