Spaces:
Sleeping
Sleeping
Zengyf-CVer
commited on
Commit
•
5a0f532
1
Parent(s):
57627c5
app update
Browse files- .gitignore +0 -1
- app.py +137 -0
.gitignore
CHANGED
@@ -58,6 +58,5 @@
|
|
58 |
!requirements.txt
|
59 |
!.pre-commit-config.yaml
|
60 |
|
61 |
-
app.py
|
62 |
test.py
|
63 |
test*.py
|
|
|
58 |
!requirements.txt
|
59 |
!.pre-commit-config.yaml
|
60 |
|
|
|
61 |
test.py
|
62 |
test*.py
|
app.py
ADDED
@@ -0,0 +1,137 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# OCR Translate v0.1
|
2 |
+
# 创建人:曾逸夫
|
3 |
+
# 创建时间:2022-06-14
|
4 |
+
# email: zyfiy1314@163.com
|
5 |
+
|
6 |
+
import os
|
7 |
+
|
8 |
+
import gradio as gr
|
9 |
+
import nltk
|
10 |
+
import pytesseract
|
11 |
+
from nltk.tokenize import sent_tokenize
|
12 |
+
from transformers import MarianMTModel, MarianTokenizer
|
13 |
+
|
14 |
+
nltk.download('punkt')
|
15 |
+
|
16 |
+
# ----------- 翻译 -----------
|
17 |
+
# https://huggingface.co/Helsinki-NLP/opus-mt-en-zh
|
18 |
+
modchoice = "Helsinki-NLP/opus-mt-en-zh" # 模型名称
|
19 |
+
|
20 |
+
tokenizer = MarianTokenizer.from_pretrained(modchoice) # 分词器
|
21 |
+
model = MarianMTModel.from_pretrained(modchoice) # 模型
|
22 |
+
|
23 |
+
OCR_TR_DESCRIPTION = '''# OCR Translate v0.1
|
24 |
+
<div id="content_align">基于Tesseract的OCR翻译系统</div>'''
|
25 |
+
|
26 |
+
# 图片路径
|
27 |
+
img_dir = "./data"
|
28 |
+
|
29 |
+
# 获取tesseract语言列表
|
30 |
+
choices = os.popen('tesseract --list-langs').read().split('\n')[1:-1]
|
31 |
+
|
32 |
+
|
33 |
+
# tesseract语言列表转pytesseract语言
|
34 |
+
def ocr_lang(lang_list):
|
35 |
+
lang_str = ""
|
36 |
+
lang_len = len(lang_list)
|
37 |
+
if lang_len == 1:
|
38 |
+
return lang_list[0]
|
39 |
+
else:
|
40 |
+
for i in range(lang_len):
|
41 |
+
lang_list.insert(lang_len - i, "+")
|
42 |
+
|
43 |
+
lang_str = "".join(lang_list[:-1])
|
44 |
+
return lang_str
|
45 |
+
|
46 |
+
|
47 |
+
# ocr tesseract
|
48 |
+
def ocr_tesseract(img, languages):
|
49 |
+
ocr_str = pytesseract.image_to_string(img, lang=ocr_lang(languages))
|
50 |
+
return ocr_str
|
51 |
+
|
52 |
+
|
53 |
+
# 示例
|
54 |
+
def set_example_image(example: list) -> dict:
|
55 |
+
return gr.Image.update(value=example[0])
|
56 |
+
|
57 |
+
|
58 |
+
# 清除
|
59 |
+
def clear_content():
|
60 |
+
return None
|
61 |
+
|
62 |
+
|
63 |
+
# 翻译
|
64 |
+
def translate(input_text):
|
65 |
+
# 参考:https://huggingface.co/docs/transformers/model_doc/marian
|
66 |
+
if input_text is None or input_text == "":
|
67 |
+
return "系统提示:没有可翻译的内容!"
|
68 |
+
|
69 |
+
translated = model.generate(**tokenizer(sent_tokenize(input_text), return_tensors="pt", padding=True))
|
70 |
+
tgt_text = [tokenizer.decode(t, skip_special_tokens=True) for t in translated]
|
71 |
+
translate_text = "".join(tgt_text)
|
72 |
+
|
73 |
+
return translate_text
|
74 |
+
|
75 |
+
|
76 |
+
def main():
|
77 |
+
|
78 |
+
with gr.Blocks(css='style.css') as ocr_tr:
|
79 |
+
gr.Markdown(OCR_TR_DESCRIPTION)
|
80 |
+
|
81 |
+
# -------------- OCR 文字提取 --------------
|
82 |
+
with gr.Box():
|
83 |
+
|
84 |
+
with gr.Row():
|
85 |
+
gr.Markdown("### Step 01: 文字提取")
|
86 |
+
|
87 |
+
with gr.Row():
|
88 |
+
with gr.Column():
|
89 |
+
with gr.Row():
|
90 |
+
inputs_img = gr.Image(image_mode="RGB", source="upload", type="pil", label="图片")
|
91 |
+
with gr.Row():
|
92 |
+
inputs_lang = gr.CheckboxGroup(choices=choices, type="value", value=['eng'], label='语言')
|
93 |
+
|
94 |
+
with gr.Row():
|
95 |
+
clear_img_btn = gr.Button('Clear')
|
96 |
+
ocr_btn = gr.Button(value='OCR 提取', variant="primary")
|
97 |
+
|
98 |
+
with gr.Column():
|
99 |
+
imgs_path = sorted(os.listdir(img_dir))
|
100 |
+
example_images = gr.Dataset(components=[inputs_img],
|
101 |
+
samples=[[f"{img_dir}/{i}"] for i in imgs_path])
|
102 |
+
|
103 |
+
# -------------- 翻译 --------------
|
104 |
+
with gr.Box():
|
105 |
+
|
106 |
+
with gr.Row():
|
107 |
+
gr.Markdown("### Step 02: 翻译")
|
108 |
+
|
109 |
+
with gr.Row():
|
110 |
+
with gr.Column():
|
111 |
+
with gr.Row():
|
112 |
+
outputs_text = gr.Textbox(label="提取内容", lines=20)
|
113 |
+
with gr.Row():
|
114 |
+
clear_text_btn = gr.Button('Clear')
|
115 |
+
translate_btn = gr.Button(value='翻译', variant="primary")
|
116 |
+
with gr.Column():
|
117 |
+
outputs_tr_text = gr.Textbox(label="翻译内容", lines=20)
|
118 |
+
|
119 |
+
# ---------------------- OCR Tesseract ----------------------
|
120 |
+
ocr_btn.click(fn=ocr_tesseract, inputs=[inputs_img, inputs_lang], outputs=[
|
121 |
+
outputs_text,])
|
122 |
+
|
123 |
+
clear_img_btn.click(fn=clear_content, inputs=[], outputs=[inputs_img])
|
124 |
+
|
125 |
+
example_images.click(fn=set_example_image, inputs=[
|
126 |
+
example_images,], outputs=[
|
127 |
+
inputs_img,])
|
128 |
+
|
129 |
+
# ---------------------- OCR Tesseract ----------------------
|
130 |
+
translate_btn.click(fn=translate, inputs=[outputs_text], outputs=[outputs_tr_text])
|
131 |
+
clear_text_btn.click(fn=clear_content, inputs=[], outputs=[outputs_text])
|
132 |
+
|
133 |
+
ocr_tr.launch(inbrowser=True)
|
134 |
+
|
135 |
+
|
136 |
+
if __name__ == '__main__':
|
137 |
+
main()
|