Spaces:
Running
Running
improve file handling , display html
Browse files- .gitignore +2 -1
- app.py +40 -23
.gitignore
CHANGED
|
@@ -1,2 +1,3 @@
|
|
| 1 |
.DS_Store
|
| 2 |
-
.venv/*
|
|
|
|
|
|
| 1 |
.DS_Store
|
| 2 |
+
.venv/*
|
| 3 |
+
notes.py
|
app.py
CHANGED
|
@@ -10,6 +10,9 @@ import numpy as np
|
|
| 10 |
import yaml
|
| 11 |
from pathlib import Path
|
| 12 |
from globe import title, description, modelinfor, joinus
|
|
|
|
|
|
|
|
|
|
| 13 |
|
| 14 |
model_name = 'ucaslcl/GOT-OCR2_0'
|
| 15 |
|
|
@@ -24,28 +27,36 @@ def image_to_base64(image):
|
|
| 24 |
image.save(buffered, format="PNG")
|
| 25 |
return base64.b64encode(buffered.getvalue()).decode()
|
| 26 |
|
| 27 |
-
|
|
|
|
| 28 |
|
| 29 |
@spaces.GPU
|
| 30 |
def process_image(image, task, ocr_type=None, ocr_box=None, ocr_color=None):
|
|
|
|
|
|
|
|
|
|
| 31 |
if task == "Plain Text OCR":
|
| 32 |
res = model.chat(tokenizer, image, ocr_type='ocr')
|
| 33 |
-
return res, None
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
|
| 39 |
-
|
| 40 |
-
|
| 41 |
-
|
| 42 |
-
|
| 43 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
|
| 45 |
-
with open(html_file, 'r') as f:
|
| 46 |
-
html_content = f.read()
|
| 47 |
-
return res, html_content
|
| 48 |
-
|
| 49 |
def update_inputs(task):
|
| 50 |
if task in ["Plain Text OCR", "Format Text OCR", "Multi-crop OCR", "Render Formatted OCR"]:
|
| 51 |
return [gr.update(visible=False)] * 3
|
|
@@ -64,17 +75,22 @@ def update_inputs(task):
|
|
| 64 |
def ocr_demo(image, task, ocr_type, ocr_box, ocr_color):
|
| 65 |
res, html_content = process_image(image, task, ocr_type, ocr_box, ocr_color)
|
| 66 |
|
| 67 |
-
res = f"
|
| 68 |
-
res = res.replace("
|
| 69 |
-
res = res.replace("\\end{tabular}
|
| 70 |
-
res = res.replace("\\(", "")
|
| 71 |
-
res = res.replace("\\)", "")
|
| 72 |
|
| 73 |
if html_content:
|
| 74 |
html_string = f'<iframe srcdoc="{html_content}" width="100%" height="600px"></iframe>'
|
| 75 |
return res, html_string
|
| 76 |
return res, None
|
| 77 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 78 |
|
| 79 |
with gr.Blocks() as demo:
|
| 80 |
gr.Markdown(title)
|
|
@@ -102,7 +118,7 @@ with gr.Blocks() as demo:
|
|
| 102 |
)
|
| 103 |
ocr_box_input = gr.Textbox(
|
| 104 |
label="OCR Box (x1,y1,x2,y2)",
|
| 105 |
-
placeholder="
|
| 106 |
visible=False
|
| 107 |
)
|
| 108 |
ocr_color_dropdown = gr.Dropdown(
|
|
@@ -130,4 +146,5 @@ with gr.Blocks() as demo:
|
|
| 130 |
)
|
| 131 |
|
| 132 |
if __name__ == "__main__":
|
|
|
|
| 133 |
demo.launch()
|
|
|
|
| 10 |
import yaml
|
| 11 |
from pathlib import Path
|
| 12 |
from globe import title, description, modelinfor, joinus
|
| 13 |
+
import uuid
|
| 14 |
+
import tempfile
|
| 15 |
+
import time
|
| 16 |
|
| 17 |
model_name = 'ucaslcl/GOT-OCR2_0'
|
| 18 |
|
|
|
|
| 27 |
image.save(buffered, format="PNG")
|
| 28 |
return base64.b64encode(buffered.getvalue()).decode()
|
| 29 |
|
| 30 |
+
results_folder = Path('./results')
|
| 31 |
+
results_folder.mkdir(parents=True, exist_ok=True)
|
| 32 |
|
| 33 |
@spaces.GPU
|
| 34 |
def process_image(image, task, ocr_type=None, ocr_box=None, ocr_color=None):
|
| 35 |
+
unique_id = str(uuid.uuid4())
|
| 36 |
+
temp_html_path = results_folder / f"{unique_id}.html"
|
| 37 |
+
|
| 38 |
if task == "Plain Text OCR":
|
| 39 |
res = model.chat(tokenizer, image, ocr_type='ocr')
|
| 40 |
+
return res, None, unique_id
|
| 41 |
+
else:
|
| 42 |
+
if task == "Format Text OCR":
|
| 43 |
+
res = model.chat(tokenizer, image, ocr_type='format', render=True, save_render_file=str(temp_html_path))
|
| 44 |
+
elif task == "Fine-grained OCR (Box)":
|
| 45 |
+
res = model.chat(tokenizer, image, ocr_type=ocr_type, ocr_box=ocr_box, render=True, save_render_file=str(temp_html_path))
|
| 46 |
+
elif task == "Fine-grained OCR (Color)":
|
| 47 |
+
res = model.chat(tokenizer, image, ocr_type=ocr_type, ocr_color=ocr_color, render=True, save_render_file=str(temp_html_path))
|
| 48 |
+
elif task == "Multi-crop OCR":
|
| 49 |
+
res = model.chat_crop(tokenizer, image, ocr_type='format', render=True, save_render_file=str(temp_html_path))
|
| 50 |
+
elif task == "Render Formatted OCR":
|
| 51 |
+
res = model.chat(tokenizer, image, ocr_type='format', render=True, save_render_file=str(temp_html_path))
|
| 52 |
+
|
| 53 |
+
if temp_html_path.exists():
|
| 54 |
+
with open(temp_html_path, 'r') as f:
|
| 55 |
+
html_content = f.read()
|
| 56 |
+
return res, html_content, unique_id
|
| 57 |
+
else:
|
| 58 |
+
return res, None, unique_id
|
| 59 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 60 |
def update_inputs(task):
|
| 61 |
if task in ["Plain Text OCR", "Format Text OCR", "Multi-crop OCR", "Render Formatted OCR"]:
|
| 62 |
return [gr.update(visible=False)] * 3
|
|
|
|
| 75 |
def ocr_demo(image, task, ocr_type, ocr_box, ocr_color):
|
| 76 |
res, html_content = process_image(image, task, ocr_type, ocr_box, ocr_color)
|
| 77 |
|
| 78 |
+
res = f"$$ {res} $$"
|
| 79 |
+
# res = res.replace("$$ \\begin{tabular}", "\\begin{tabular}")
|
| 80 |
+
# res = res.replace("\\end{tabular} $$", "\\end{tabular}")
|
| 81 |
+
# res = res.replace("\\(", "")
|
| 82 |
+
# res = res.replace("\\)", "")
|
| 83 |
|
| 84 |
if html_content:
|
| 85 |
html_string = f'<iframe srcdoc="{html_content}" width="100%" height="600px"></iframe>'
|
| 86 |
return res, html_string
|
| 87 |
return res, None
|
| 88 |
+
|
| 89 |
+
def cleanup_old_files():
|
| 90 |
+
current_time = time.time()
|
| 91 |
+
for file_path in results_folder.glob('*.html'):
|
| 92 |
+
if current_time - file_path.stat().st_mtime > 3600: # 1 hour
|
| 93 |
+
file_path.unlink()
|
| 94 |
|
| 95 |
with gr.Blocks() as demo:
|
| 96 |
gr.Markdown(title)
|
|
|
|
| 118 |
)
|
| 119 |
ocr_box_input = gr.Textbox(
|
| 120 |
label="OCR Box (x1,y1,x2,y2)",
|
| 121 |
+
placeholder="[100,100,200,200]",
|
| 122 |
visible=False
|
| 123 |
)
|
| 124 |
ocr_color_dropdown = gr.Dropdown(
|
|
|
|
| 146 |
)
|
| 147 |
|
| 148 |
if __name__ == "__main__":
|
| 149 |
+
cleanup_old_files()
|
| 150 |
demo.launch()
|