Spaces:
Runtime error
Runtime error
Joyantac33
commited on
Commit
•
bcbb9bc
1
Parent(s):
4e3eecd
Upload 8 files
Browse files- .gitattributes +1 -0
- 000.jpg +0 -0
- README.md +5 -5
- app.py +52 -0
- data_sample.jpg +0 -0
- gitattributes.txt +35 -0
- requirements.txt +5 -0
- sample_image_cord_test_receipt_00004.png +3 -0
- sample_image_cord_test_receipt_00012.png +0 -0
.gitattributes
CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
32 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
32 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
33 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
34 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
35 |
+
sample_image_cord_test_receipt_00004.png filter=lfs diff=lfs merge=lfs -text
|
000.jpg
ADDED
README.md
CHANGED
@@ -1,10 +1,10 @@
|
|
1 |
---
|
2 |
-
title: Donut Base Finetuned
|
3 |
-
emoji:
|
4 |
-
colorFrom:
|
5 |
-
colorTo:
|
6 |
sdk: gradio
|
7 |
-
sdk_version: 3.
|
8 |
app_file: app.py
|
9 |
pinned: false
|
10 |
---
|
|
|
1 |
---
|
2 |
+
title: Donut Base Finetuned Cord V2
|
3 |
+
emoji: 🍩
|
4 |
+
colorFrom: blue
|
5 |
+
colorTo: gray
|
6 |
sdk: gradio
|
7 |
+
sdk_version: 3.0.26
|
8 |
app_file: app.py
|
9 |
pinned: false
|
10 |
---
|
app.py
ADDED
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
"""
|
2 |
+
Donut
|
3 |
+
Copyright (c) 2022-present NAVER Corp.
|
4 |
+
MIT License
|
5 |
+
|
6 |
+
https://github.com/clovaai/donut
|
7 |
+
"""
|
8 |
+
import gradio as gr
|
9 |
+
import torch
|
10 |
+
from PIL import Image
|
11 |
+
|
12 |
+
from donut import DonutModel
|
13 |
+
|
14 |
+
|
15 |
+
def _init_weights(DonutModel, module):
|
16 |
+
pass
|
17 |
+
|
18 |
+
def demo_process(input_img):
|
19 |
+
global pretrained_model, task_prompt, task_name
|
20 |
+
# input_img = Image.fromarray(input_img)
|
21 |
+
output = pretrained_model.inference(image=input_img, prompt=task_prompt)["predictions"][0]
|
22 |
+
return output
|
23 |
+
|
24 |
+
task_prompt = f"<s_cord-v2>"
|
25 |
+
|
26 |
+
image = Image.open("./sample_image_cord_test_receipt_00004.png")
|
27 |
+
image.save("cord_sample_receipt1.png")
|
28 |
+
image = Image.open("./sample_image_cord_test_receipt_00012.png")
|
29 |
+
image.save("cord_sample_receipt2.png")
|
30 |
+
|
31 |
+
DonutModel._init_weights= _init_weights
|
32 |
+
|
33 |
+
pretrained_model = DonutModel.from_pretrained("naver-clova-ix/donut-base-finetuned-docvqa",ignore_mismatched_sizes=True)
|
34 |
+
pretrained_model.eval()
|
35 |
+
|
36 |
+
demo = gr.Interface(
|
37 |
+
fn=demo_process,
|
38 |
+
inputs= gr.inputs.Image(type="pil"),
|
39 |
+
outputs="json",
|
40 |
+
title=f"Donut 🍩 demonstration for `cord-v2` task",
|
41 |
+
description="""This model is trained with 800 Indonesian receipt images of CORD dataset. <br>
|
42 |
+
Demonstrations for other types of documents/tasks are available at https://github.com/clovaai/donut <br>
|
43 |
+
More CORD receipt images are available at https://huggingface.co/datasets/naver-clova-ix/cord-v2
|
44 |
+
|
45 |
+
More details are available at:
|
46 |
+
- Paper: https://arxiv.org/abs/2111.15664
|
47 |
+
- GitHub: https://github.com/clovaai/donut""",
|
48 |
+
examples=[["cord_sample_receipt1.png"], ["cord_sample_receipt2.png"]],
|
49 |
+
cache_examples=False,
|
50 |
+
)
|
51 |
+
|
52 |
+
demo.launch()
|
data_sample.jpg
ADDED
gitattributes.txt
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
28 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
29 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
30 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
31 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
32 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
33 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
34 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
35 |
+
sample_image_cord_test_receipt_00004.png filter=lfs diff=lfs merge=lfs -text
|
requirements.txt
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
torch
|
2 |
+
donut-python
|
3 |
+
gradio
|
4 |
+
transformers==4.24.0
|
5 |
+
timm==0.6.13
|
sample_image_cord_test_receipt_00004.png
ADDED
Git LFS Details
|
sample_image_cord_test_receipt_00012.png
ADDED