File size: 3,991 Bytes
79904b0 4575a6f 79904b0 4575a6f 79904b0 4575a6f 79904b0 4575a6f 79904b0 4575a6f 79904b0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 |
import traceback
import gradio as gr
from utils.get_RGB_image import get_RGB_image, is_online_file, steam_online_file
from pdf2image import convert_from_path, convert_from_bytes
def similarity_fn(document_image_1, document_image_2):
xxx = 'BOTH' if document_image_1 and document_image_2 else 'ONE' if document_image_1 or document_image_2 else 'NONE'
return gr.HTML(f'<pre>Similarity between the two documents: {xxx}<pre>', visible=True)
def load_image(filename, page = 0):
try:
image = None
try:
if (is_online_file(filename)):
image = get_RGB_image(convert_from_bytes(steam_online_file(filename))[page])
else:
image = get_RGB_image(convert_from_path(filename)[page])
except:
image = get_RGB_image(filename)
return [
gr.Image(value=image, visible=True),
None
]
except:
error = traceback.format_exc()
return [None, gr.HTML(value=error, visible=True)]
def preview_url(url, page = 0):
[image, error] = load_image(url, page = page)
if image:
return [gr.Tabs(selected=0), image, error]
else:
return [gr.Tabs(selected=1), image, error]
def document_view(document_number: int):
gr.HTML(value=f'<h4>Load the {"first" if document_number == 1 else "second"} PDF or Document Image<h4>', elem_classes=['center'])
with gr.Tabs() as document_tabs:
with gr.Tab("From Image", id=0):
document = gr.Image(type="pil", label=f"Document {document_number}", visible=False)
document_error_message = gr.HTML(label="Error Message", visible=False)
document_preview = gr.UploadButton(
"Click to PDF or Document Image",
file_types=["image", ".pdf"],
file_count="single")
with gr.Tab("From URL", id=1):
document_url = gr.Textbox(
label=f"Document {document_number} URL",
info="Paste a Link/URL to PDF or Document Image",
placeholder="https://datasets-server.huggingface.co/.../image.jpg")
document_url_error_message = gr.HTML(label="Error Message", visible=False)
document_url_preview = gr.Button(value="Preview", variant="primary")
document_preview.upload(
fn = lambda file: load_image(file.name),
inputs = [document_preview],
outputs = [document, document_error_message])
document_url_preview.click(
fn = preview_url,
inputs = [document_url],
outputs = [document_tabs, document, document_url_error_message])
return document
def app():
title = 'Document Similarity Search Using Visual Layout Features'
description = f"<h2>{title}<h2>"
css = '''
image { max-height="86vh" !important; }
.center { display: flex; flex: 1 1 auto; align-items: center; align-content: center; justify-content: center; justify-items: center; }
.hr { width: 100%; display: block; padding: 0; margin: 0; background: gray; height: 4px; border: none; }
'''
with gr.Blocks(title=title, css=css) as app:
with gr.Row():
gr.HTML(value=description, elem_classes=['center'])
with gr.Row(equal_height = False):
with gr.Column():
document_1_image = document_view(1)
with gr.Column():
document_2_image = document_view(2)
gr.HTML('<hr/>', elem_classes=['hr'])
with gr.Row(elem_classes=['center']):
with gr.Column():
submit = gr.Button(value="Similarity", variant="primary")
reset = gr.Button(value="Reset", variant="secondary")
with gr.Column():
similarity_output = gr.HTML(visible=False)
submit.click(
fn=similarity_fn,
inputs=[document_1_image, document_2_image],
outputs=[similarity_output])
return app.launch(debug=True) |