Upload app.py

app.py

@@ -0,0 +1,8 @@
+import tensorflow as tf
+import gradio as gr
+import numpy as np
+model = tf.keras.models.load_model('Model.h5')
+def predict(inp):
+  prediction = model.predict(np.array([tf.keras.preprocessing.image.img_to_array(inp)]) )
+  return (1-prediction)*100
+gr.Interface(fn=predict,inputs=gr.Image(shape=(224, 224)),outputs=gr.Number()).launch()