import gradio as gr
import tensorflow as tf
from keras.models import model_from_json

model = tf.keras.models.load_model('model') 

image_size = 250

def predict_image(img):
    img_4d=img.reshape(-1,image_size,image_size,3)
    prediction=model.predict(img_4d, verbose=0)[0]
    print(prediction)
    return {"Victoria": float(prediction[i]) for i in range(1)}    

image = gr.inputs.Image(source="webcam", shape=(image_size,image_size))
label = gr.outputs.Label(num_top_classes=1)

gr.Interface(fn=predict_image, inputs=image, outputs=label,interpretation='default').launch(debug='True')