@@ -226,19 +226,20 @@ def get_prediction(image_bytes):
226226# In this final part we will add our model to our Flask API server. Since
227227# our API server is supposed to take an image file, we will update our ``predict``
228228# method to read files from the requests:
229-
230- from flask import request
231-
232-
233- @app .route ('/predict' , methods = ['POST' ])
234- def predict ():
235- if request .method == 'POST' :
236- # we will get the file from the request
237- file = request .files ['file' ]
238- # convert that to bytes
239- img_bytes = file .read ()
240- class_id , class_name = get_prediction (image_bytes = img_bytes )
241- return jsonify ({'class_id' : class_id , 'class_name' : class_name })
229+ #
230+ # .. code-block:: python
231+ #
232+ # from flask import request
233+ #
234+ # @app.route('/predict', methods=['POST'])
235+ # def predict():
236+ # if request.method == 'POST':
237+ # # we will get the file from the request
238+ # file = request.files['file']
239+ # # convert that to bytes
240+ # img_bytes = file.read()
241+ # class_id, class_name = get_prediction(image_bytes=img_bytes)
242+ # return jsonify({'class_id': class_id, 'class_name': class_name})
242243
243244######################################################################
244245# The ``app.py`` file is now complete. Following is the full version:
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