resize image instead of crop

app.py

@@ -9,12 +9,14 @@ with open('labels.txt','r') as f:
 
 def classify_image(inp):
   model = tf.keras.models.load_model('saved_model')
+  inp.resize((480,480))
+  inp = np.array(inp)
   inp = inp.reshape((-1, 480, 480, 3)).astype(np.float32)
-  inp = tf.divide(inp,255.0)
+  inp = inp.divide(inp,255.0)
   prediction = model.predict(inp).flatten()
   return {labels[i]: float(prediction[i]) for i in range(36)}
 
-image = gr.inputs.Image(shape=(480, 480))
+image = gr.inputs.Image(type='pil')
 label = gr.outputs.Label(num_top_classes=3)
 
 gr.Interface(fn=classify_image, inputs=image, outputs=label, capture_session=True, theme = "grass", examples = [["test.jpg"]]).launch()