app.py

import gradio as gr
from predict import makepredictions

with gr.Blocks() as demo:
    gr.Markdown("Brain Tumor Image classification")
    gr.Markdown("We detect 4 Types of Tumor with 99.12% Accuracy:")
    gr.Markdown("Glioma  |   Meningioma  |   No Tumor  |   Pituitary")
    image_input = gr.Image(label='Tumor Image', type='filepath', height=480)
    with gr.Row():
        image_button = gr.Button("Predict")
        y_pred = output = gr.Textbox(label="Tumor Type:")
        image_button.click(makepredictions, inputs=image_input, outputs=y_pred)
    gr.Markdown(
        """
           This model is trained on the Kaggle dataset:
                  - Only for the educational purpose
                  - Play with that and Have fun.
        """)

if __name__ == "__main__":
    demo.launch()