Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -5,6 +5,7 @@ import torch
|
|
| 5 |
import torch.nn.functional as F
|
| 6 |
import torchvision.transforms as T
|
| 7 |
from uniformer import uniformer_small
|
|
|
|
| 8 |
|
| 9 |
import gradio as gr
|
| 10 |
|
|
@@ -21,11 +22,6 @@ model.load_state_dict(state_dict['model'])
|
|
| 21 |
model = model.to(device)
|
| 22 |
model = model.eval()
|
| 23 |
|
| 24 |
-
os.system("wget https://huggingface.co/Andy1621/uniformer/blob/main/imagenet_class_index.json")
|
| 25 |
-
|
| 26 |
-
with open("imagenet_class_index.json", "r") as f:
|
| 27 |
-
imagenet_classnames = json.load(f)
|
| 28 |
-
|
| 29 |
# Create an id to label name mapping
|
| 30 |
imagenet_id_to_classname = {}
|
| 31 |
for k, v in imagenet_classnames.items():
|
|
|
|
| 5 |
import torch.nn.functional as F
|
| 6 |
import torchvision.transforms as T
|
| 7 |
from uniformer import uniformer_small
|
| 8 |
+
from imagenet_class_index import imagenet_classnames
|
| 9 |
|
| 10 |
import gradio as gr
|
| 11 |
|
|
|
|
| 22 |
model = model.to(device)
|
| 23 |
model = model.eval()
|
| 24 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
# Create an id to label name mapping
|
| 26 |
imagenet_id_to_classname = {}
|
| 27 |
for k, v in imagenet_classnames.items():
|