amir22010 commited on
Commit
07f2655
·
1 Parent(s): 9869286

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -4
app.py CHANGED
@@ -1,4 +1,5 @@
1
  import os
 
2
  os.system('pip install transformers==4.25.1')
3
  os.system('pip install sentencepiece')
4
  # workaround: install old version of pytorch since detectron2 hasn't released packages for pytorch 1.9 (issue: https://github.com/facebookresearch/detectron2/issues/3158)
@@ -23,8 +24,9 @@ model = LayoutLMv2ForTokenClassification.from_pretrained("amir22010/layoutxlm-xf
23
  # load image example
24
  #dataset = load_dataset("ranpox/xfund", 'xfund.ja', split="validation")
25
  #image = Image.open(dataset[0]["image"][0]).convert("RGB")
26
- image = Image.open("./ja_val_49.jpg").convert("RGB")
27
- image.save("document.jpg")
 
28
  # define id2label, label2color
29
  labels = [
30
  'O',
@@ -93,8 +95,8 @@ css = ".output-image, .input-image {height: 40rem !important; width: 100% !impor
93
  css = ".image-preview {height: auto !important;}"
94
 
95
  iface = gr.Interface(fn=infer,
96
- inputs=gr.Image(type="pil"),
97
- outputs=gr.Image(type="pil", label="annotated image"),
98
  title=title,
99
  description=description,
100
  article=article,
 
1
  import os
2
+ os.system('pip install pyyaml==5.1')
3
  os.system('pip install transformers==4.25.1')
4
  os.system('pip install sentencepiece')
5
  # workaround: install old version of pytorch since detectron2 hasn't released packages for pytorch 1.9 (issue: https://github.com/facebookresearch/detectron2/issues/3158)
 
24
  # load image example
25
  #dataset = load_dataset("ranpox/xfund", 'xfund.ja', split="validation")
26
  #image = Image.open(dataset[0]["image"][0]).convert("RGB")
27
+ image1 = Image.open("./ja_val_49.jpg").convert("RGB")
28
+ image1.save("document.jpg")
29
+
30
  # define id2label, label2color
31
  labels = [
32
  'O',
 
95
  css = ".image-preview {height: auto !important;}"
96
 
97
  iface = gr.Interface(fn=infer,
98
+ inputs=gr.inputs.Image(type="pil"),
99
+ outputs=gr.outputs.Image(type="pil", label="annotated image"),
100
  title=title,
101
  description=description,
102
  article=article,