app.py

import gradio as gr
from huggingface_hub import from_pretrained_keras

def infer(filepath):
    image_tensor = np.load(filepath)
    prediction = model.predict(np.expand_dims(image_tensor, axis=0))[0]
    confidence = 100 * (1 - prediction[0])
    return confidence

model = from_pretrained_keras('jalFaizy/3D_CNN')

filepath = gr.inputs.File()
text = gr.outputs.Textbox()

iface = gr.Interface(
    infer, 
    filepath,
    text,
    title='3D CNN for CT scans',
    examples=['example_1_normal.npy']
)

iface.launch()