File size: 729 Bytes
9a78e15 |
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 |
import gradio as gr
import tensorflow as tf
import numpy as np
from PIL import Image
import tensorflow.keras as keras
from tensorflow.keras.models import load_model
# load model
model = load_model('vehicle_cnn.h5')
classnames = ['traintaro', 'cartaro', 'bicycletaro']
def predict_image(img):
img_4d=img.reshape(-1,224, 224,3)
prediction=model.predict(img_4d)[0]
return {classnames[i]: float(prediction[i]) for i in range(3)}
image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label(num_top_classes=3)
gr.Interface(fn=predict_image, inputs=image, title="Garbage Classifier V3",
description="ThiFaces using Gradio.",outputs=label,enable_queue=True,interpretation='default').launch() |