Spaces:
Runtime error
Runtime error
troubleshoot prediction..
Browse files
app.py
CHANGED
@@ -3,6 +3,7 @@ import tensorflow as tf
|
|
3 |
import numpy as np
|
4 |
|
5 |
model = tf.saved_model.load("/home/user/app/model")
|
|
|
6 |
|
7 |
def mnist_classifier(img):
|
8 |
img_tensor = tf.convert_to_tensor(img['composite'], dtype=tf.float32)
|
@@ -12,8 +13,6 @@ def mnist_classifier(img):
|
|
12 |
img_tensor /= 255.0
|
13 |
img_tensor = tf.expand_dims(img_tensor, 0)
|
14 |
|
15 |
-
prediction = model(img_tensor)
|
16 |
-
print(prediction)
|
17 |
#prediction = model.signatures['serving_default'](img_tensor)
|
18 |
#print(model.signatures['serving_default'].structured_outputs)
|
19 |
#return str(tf.argmax(prediction['output_0'], axis=1).numpy()[0])
|
|
|
3 |
import numpy as np
|
4 |
|
5 |
model = tf.saved_model.load("/home/user/app/model")
|
6 |
+
print(dir(model))
|
7 |
|
8 |
def mnist_classifier(img):
|
9 |
img_tensor = tf.convert_to_tensor(img['composite'], dtype=tf.float32)
|
|
|
13 |
img_tensor /= 255.0
|
14 |
img_tensor = tf.expand_dims(img_tensor, 0)
|
15 |
|
|
|
|
|
16 |
#prediction = model.signatures['serving_default'](img_tensor)
|
17 |
#print(model.signatures['serving_default'].structured_outputs)
|
18 |
#return str(tf.argmax(prediction['output_0'], axis=1).numpy()[0])
|