Spaces:
Runtime error
Runtime error
Commit
·
6c78b0a
1
Parent(s):
e2d3236
Update app.py
Browse files
app.py
CHANGED
@@ -23,7 +23,7 @@ model.compile(optimizer=tf.keras.optimizers.Adam(),
|
|
23 |
loss=tf.keras.losses.CategoricalCrossentropy(),
|
24 |
metrics=[tf.keras.metrics.MeanSquaredError(), tf.keras.metrics.AUC(), tf.keras.metrics.CategoricalAccuracy()])
|
25 |
|
26 |
-
model = tf.keras.models.load_model('
|
27 |
|
28 |
|
29 |
def classify_image(image):
|
@@ -35,8 +35,6 @@ def classify_image(image):
|
|
35 |
image_tensor = image_tensor / 255.0
|
36 |
prediction = model.predict(image_tensor)
|
37 |
print(prediction)
|
38 |
-
print(prediction.argmax)
|
39 |
-
|
40 |
prediction_label = str(prediction.argmax())
|
41 |
return prediction_label
|
42 |
|
|
|
23 |
loss=tf.keras.losses.CategoricalCrossentropy(),
|
24 |
metrics=[tf.keras.metrics.MeanSquaredError(), tf.keras.metrics.AUC(), tf.keras.metrics.CategoricalAccuracy()])
|
25 |
|
26 |
+
model = tf.keras.models.load_model('my_model_1.h5', compile=False)
|
27 |
|
28 |
|
29 |
def classify_image(image):
|
|
|
35 |
image_tensor = image_tensor / 255.0
|
36 |
prediction = model.predict(image_tensor)
|
37 |
print(prediction)
|
|
|
|
|
38 |
prediction_label = str(prediction.argmax())
|
39 |
return prediction_label
|
40 |
|