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Fix predictions and adds requirements #12

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Fix predictions and adds requirements #12

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6 changes: 6 additions & 0 deletions requirements.txt
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Original file line number Diff line number Diff line change
@@ -0,0 +1,6 @@
Flask==1.0.2
Keras==2.2.4
tensorflow==1.11.0
numpy
PIL
io
8 changes: 6 additions & 2 deletions run_keras_server.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@
# python simple_request.py

# import the necessary packages
import tensorflow as tf
from keras.applications import ResNet50
from keras.preprocessing.image import img_to_array
from keras.applications import imagenet_utils
Expand All @@ -25,6 +26,8 @@ def load_model():
# substitute in your own networks just as easily)
global model
model = ResNet50(weights="imagenet")
global graph
graph = tf.get_default_graph()

def prepare_image(image, target):
# if the image mode is not RGB, convert it
Expand Down Expand Up @@ -58,7 +61,8 @@ def predict():

# classify the input image and then initialize the list
# of predictions to return to the client
preds = model.predict(image)
with graph.as_default():
preds = model.predict(image)
results = imagenet_utils.decode_predictions(preds)
data["predictions"] = []

Expand All @@ -80,4 +84,4 @@ def predict():
print(("* Loading Keras model and Flask starting server..."
"please wait until server has fully started"))
load_model()
app.run()
app.run()