Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -8,8 +8,6 @@ import tensorflow as tf
|
|
8 |
from transformers import ViTFeatureExtractor
|
9 |
from huggingface_hub import from_pretrained_keras
|
10 |
|
11 |
-
global MODEL
|
12 |
-
|
13 |
PRETRAIN_CHECKPOINT = "google/vit-base-patch16-224-in21k"
|
14 |
feature_extractor = ViTFeatureExtractor.from_pretrained(PRETRAIN_CHECKPOINT)
|
15 |
|
@@ -48,6 +46,8 @@ def preprocess_input(image):
|
|
48 |
}
|
49 |
|
50 |
def get_predictions(wb_token, image):
|
|
|
|
|
51 |
if MODEL is None:
|
52 |
wandb.login(key=wb_token)
|
53 |
path = wandb.use_artifact('tfx-vit-pipeline/final_model:latest', type='model').download()
|
|
|
8 |
from transformers import ViTFeatureExtractor
|
9 |
from huggingface_hub import from_pretrained_keras
|
10 |
|
|
|
|
|
11 |
PRETRAIN_CHECKPOINT = "google/vit-base-patch16-224-in21k"
|
12 |
feature_extractor = ViTFeatureExtractor.from_pretrained(PRETRAIN_CHECKPOINT)
|
13 |
|
|
|
46 |
}
|
47 |
|
48 |
def get_predictions(wb_token, image):
|
49 |
+
print(MODEL)
|
50 |
+
|
51 |
if MODEL is None:
|
52 |
wandb.login(key=wb_token)
|
53 |
path = wandb.use_artifact('tfx-vit-pipeline/final_model:latest', type='model').download()
|