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import gradio as gr
import numpy as np
import pandas as pd
from tensorflow import keras
model = keras.models.load_model('model.h5')
def analyse(image):
data = image.reshape((1, 128, 128, 3))
return model.predict(data)
iface = gr.Interface(
analyse,
gr.inputs.Image(shape=(128,128)),
"text",
examples=['non.jpg', 'moderate.jpg', 'mild.jpg', 'verymild.jpg'],
)
iface.launch() |