| from model import model | |
| import gradio as gr | |
| import numpy as np | |
| def classify_image(image): | |
| probabilities = model.predict(image) # Call prediction function | |
| return probabilities | |
| demo = gr.Interface( | |
| fn=classify_image, | |
| inputs=gr.Image(), | |
| outputs=gr.Label(num_top_classes=4), | |
| title="Brain tumor image MRI classification", | |
| description="CNN Keras model to classify brain MRI images in 4 categories: Glioma, Meningioma, Pituitary and No tumor. AI model and interface made by Eng. Michael Leonardo Aguas",) | |
| demo.launch() |