File size: 586 Bytes
b12a850 b657d51 b12a850 35dd703 b12a850 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
import gradio as gr
import tensorflow as tf
model = tf.keras.models.load_model('best_model.h5')
categories = ["Normal","Pneumonia", "Tubercolosis"]
def classify(img):
img = img.reshape((-1, 224, 224, 3))
pred = model.predict(img)[0]
return {categories[i]: float(pred[i]) for i in range(3)}
image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label(num_top_classes=3)
examples = ["Normal.png", "Tuberculosis.png", "Pneumonia.jpeg"]
intf = gr.Interface(classify,inputs=image, outputs=label, examples=examples, capture_session=True)
intf.launch(inline=False)
|