add mnist demo client

02.recognize_digits/client/client.py

+import requests
+from PIL import Image
+import numpy as np
+import os
+
+
+def load_image(file):
+    im = Image.open(file).convert('L')
+    im = im.resize((28, 28), Image.ANTIALIAS)
+    im = np.array(im).astype(np.float32).flatten()
+    im = im / 255.0
+    return im
+
+
+cur_dir = os.path.dirname(os.path.realpath(__file__))
+data = load_image(cur_dir + '/../image/infer_3.png')
+data = data.tolist()
+
+r = requests.post("http://0.0.0.0:8000", json={'img': data})
+
+print(r.text)

serve/README.md

@@ -202,6 +202,11 @@ Here, `code` and `message` represent the status of the request.
 probability of each class, could be the IDs of output sentence, and so
 on.
 
+## MNIST Demo Client
+
+If you have trained an model with [train.py](https://github.com/reyoung/paddle_mnist_v2_demo/blob/master/train.py) and
+start a inference server. Then you can use this [client](https://github.com/PaddlePaddle/book/tree/develop/02.recognize_digits/client/client.py) to test if it works right.
+
 ## Build
 
 We have already prepared the pre-built docker image