Building a training loop - update example from spacy101 v2.x tutorial

Hello, can you please indicate how to change the code below to align with Spacy's current v3.2.x?

Thanks for your support,

Achilleas

```
import spacy
import random
import json

with open("exercises/en/gadgets.json") as f:
TRAINING_DATA = json.loads(f.read())

nlp = spacy.blank("en")
ner = nlp.add_pipe('ner')
ner.add_label("GADGET")

nlp.vocab.vectors.name = 'example'

# Start the training
nlp.begin_training()

# Loop for 10 iterations
for itn in range(10):
# Shuffle the training data
random.shuffle(TRAINING_DATA)
losses = {}

for batch in spacy.util.minibatch(TRAINING_DATA, size=2):
# Batch the examples and iterate over them
texts = [text for text, annotation in batch]
annotations = [annotation for text, annotation in batch]
# Update the model
nlp.update(texts, annotations)
print("{0:.10f}".format(losses['ner']) )
```