Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -7,6 +7,20 @@ from tensorflow.keras.layers.experimental.preprocessing import RandomHeight
|
|
7 |
with CustomObjectScope({'RandomHeight': RandomHeight}):
|
8 |
model_0 = tf.keras.models.load_model('bestmodel.h5')
|
9 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
10 |
def classify_image(inp):
|
11 |
# Convert to PIL Image if we have a numpy array
|
12 |
image = None
|
|
|
7 |
with CustomObjectScope({'RandomHeight': RandomHeight}):
|
8 |
model_0 = tf.keras.models.load_model('bestmodel.h5')
|
9 |
|
10 |
+
|
11 |
+
print("TensorFlow version:", tf.__version__)
|
12 |
+
print("GPU Available:", tf.config.list_physical_devices('GPU'))
|
13 |
+
|
14 |
+
# Configure TensorFlow to use memory growth
|
15 |
+
gpus = tf.config.experimental.list_physical_devices('GPU')
|
16 |
+
if gpus:
|
17 |
+
try:
|
18 |
+
for gpu in gpus:
|
19 |
+
tf.config.experimental.set_memory_growth(gpu, True)
|
20 |
+
except RuntimeError as e:
|
21 |
+
print(e)
|
22 |
+
|
23 |
+
|
24 |
def classify_image(inp):
|
25 |
# Convert to PIL Image if we have a numpy array
|
26 |
image = None
|