File size: 1,110 Bytes
e1d63e2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
import requests
import tensorflow as tf
import gradio as gr
inception_net = tf.keras.applications.MobileNetV2() # load the model
response = requests.get("https://git.io/JJkYN")
labels = response.text.split("\n")
def classify_image(inp):
inp = inp.reshape((-1, 224, 224, 3))
inp = tf.keras.applications.mobilenet_v2.preprocess_input(inp)
prediction = inception_net.predict(inp).flatten()
return {labels[i]: float(prediction[i]) for i in range(1000)}
title = "Image Classifiction + Interpretation"
description = """
Task: Image Classification\n
Dataset: COCO 2017, 1,000 classes\n
Model: https://huggingface.co/google/mobilenet_v2_1.0_224\n
Developer: Google \n
"""
image = gr.Image(shape=(224, 224))
label = gr.Label(num_top_classes=3)
examples = [
["buger.jpg"],
["goldfish.jpg"],
["lake-house.jpg"],
["truck.jpg"],
]
demo = gr.Interface(
fn=classify_image,
inputs=image,
outputs=label,
interpretation="default",
title=title,
description=description,
examples=examples,
theme="freddyaboulton/dracula_revamped",
)
demo.launch()
|