File size: 758 Bytes
005418e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 |
import gradio as gr
import tensorflow as tf
import cv2
title = "Covid 19 Prediction App using X-ray Images"
head = (
"<center>"
"Upload an X-ray image to check for covid19. The app is for research purposes and not clinically authorized"
"</center>"
)
cnn = tf.keras.models.load_model("cnn_model.h5")
def predict_input_image(img):
img = img.reshape(1, 500, 500, 1)
prediction = cnn.predict(img).tolist()[0]
class_names = ["Covid"]
return {class_names[i]: 1-prediction[i] for i in range(1)}
image = gr.inputs.Image(shape=(500, 500), image_mode='L', invert_colors=False, source="upload")
label = gr.outputs.Label()
iface = gr.Interface(fn=predict_input_image, inputs=image, outputs=label,title=title, description=head)
iface.launch() |