Update app.py

app.py

@@ -4,7 +4,17 @@ import tensorflow as tf
 import numpy as np
 from tensorflow.keras.models import load_model
 
+model=load_model('/content/saved_model/best_model.h5')
 
+def classify_image(inp):
+  inp = inp.reshape((-1, IMG_SIZE, IMG_SIZE, 3))
+  #inp = tf.keras.applications.vgg16.preprocess_input(inp)
+  prediction = model.predict(inp).flatten()
+  return {labels[i]: float(prediction[i]) for i in range(NUM_CLASSES)}
 
+image = gr.inputs.Image(shape=(IMG_SIZE, IMG_SIZE),label='Input')
+label = gr.outputs.Label(num_top_classes=2)
+
+gr.Interface(fn=classify_image, inputs=image, outputs=label, title='Cats Vs Dogs',height=600, width=1200).launch(debug=False)