Load the Model¶

In [1]:

%load_ext autoreload
%autoreload 2

import numpy as np
import tensorflow as tf
import gradio

In [2]:

model = tf.keras.applications.inception_v3.InceptionV3()

In [5]:

inp = gradio.inputs.ImageUpload()
out = gradio.outputs.Label(label_names='imagenet1000', max_label_length=8)

io = gradio.Interface(inputs=inp, 
                      outputs=out,
                      model=model, 
                      model_type='keras')

In [6]:

io.launch(inline=True, inbrowser=False, share=False, validate=False);

NOTE: Gradio is in beta stage, please report all bugs to: contact.gradio@gmail.com
Model is running locally at: http://localhost:7862/
To create a public link, set `share=True` in the argument to `launch()`.

2.4 KiB Raw Blame History

Load the Model¶

2.4 KiB

Raw Blame History