Spaces:
Build error
Build error
jijivski
commited on
Commit
•
bccb671
1
Parent(s):
bfe1f92
add former
Browse files- .gitignore +1 -0
- __pycache__/app.cpython-37.pyc +0 -0
- __pycache__/hello_test.cpython-310.pyc +0 -0
- app.py +1 -1
- get_loss/__pycache__/get_loss_hf.cpython-310.pyc +0 -0
- hf_space_test.py +4 -1
- requirements.txt +1 -0
.gitignore
CHANGED
|
@@ -1 +1,2 @@
|
|
| 1 |
get_loss/__pycache__/
|
|
|
|
|
|
| 1 |
get_loss/__pycache__/
|
| 2 |
+
*.pyc
|
__pycache__/app.cpython-37.pyc
DELETED
|
Binary file (422 Bytes)
|
|
|
__pycache__/hello_test.cpython-310.pyc
DELETED
|
Binary file (431 Bytes)
|
|
|
app.py
CHANGED
|
@@ -21,7 +21,7 @@ def color_text(text_list=["hi", "FreshEval","!"], loss_list=[0.1,0.7]):
|
|
| 21 |
loss_list=[0]+loss_list
|
| 22 |
# print('loss_list',loss_list)
|
| 23 |
# print('text_list',text_list)
|
| 24 |
-
pdb.set_trace()
|
| 25 |
for text, loss in zip(text_list, loss_list):
|
| 26 |
# color = "#FF0000" if float(loss) > 0.5 else "#00FF00"
|
| 27 |
color=loss/20#TODO rescale
|
|
|
|
| 21 |
loss_list=[0]+loss_list
|
| 22 |
# print('loss_list',loss_list)
|
| 23 |
# print('text_list',text_list)
|
| 24 |
+
# pdb.set_trace()
|
| 25 |
for text, loss in zip(text_list, loss_list):
|
| 26 |
# color = "#FF0000" if float(loss) > 0.5 else "#00FF00"
|
| 27 |
color=loss/20#TODO rescale
|
get_loss/__pycache__/get_loss_hf.cpython-310.pyc
CHANGED
|
Binary files a/get_loss/__pycache__/get_loss_hf.cpython-310.pyc and b/get_loss/__pycache__/get_loss_hf.cpython-310.pyc differ
|
|
|
hf_space_test.py
CHANGED
|
@@ -11,7 +11,10 @@ def predict(input_img):
|
|
| 11 |
|
| 12 |
gradio_app = gr.Interface(
|
| 13 |
predict,
|
| 14 |
-
inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
|
|
|
|
|
|
|
|
|
|
| 15 |
outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
|
| 16 |
title="Hot Dog? Or Not?",
|
| 17 |
)
|
|
|
|
| 11 |
|
| 12 |
gradio_app = gr.Interface(
|
| 13 |
predict,
|
| 14 |
+
inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),# upload means upload the image, webcam means use the camera,
|
| 15 |
+
# if I want to craw and drop the image, I can use the following code
|
| 16 |
+
# inputs=gr.Image(label="Select hot dog candidate", source='webcam', type="pil"),
|
| 17 |
+
|
| 18 |
outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
|
| 19 |
title="Hot Dog? Or Not?",
|
| 20 |
)
|
requirements.txt
CHANGED
|
@@ -1,2 +1,3 @@
|
|
| 1 |
transformers
|
| 2 |
torch
|
|
|
|
|
|
| 1 |
transformers
|
| 2 |
torch
|
| 3 |
+
spacy
|