Spaces:
Sleeping
Sleeping
File size: 5,989 Bytes
5ebeb73 d76b5dc 3b057c5 5ebeb73 c9a1c2d 5ebeb73 3b057c5 deef83a 5ebeb73 deef83a 5ebeb73 deef83a 5ebeb73 deef83a b742b60 deef83a b742b60 deef83a 5ebeb73 d76b5dc 5ebeb73 d76b5dc 5ebeb73 b742b60 5ebeb73 |
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 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 |
import gradio as gr
from helper.gradio_config import css, js, theme
from helper.text.text_about import TextAbout
from helper.text.text_app import TextApp
from helper.text.text_howto import TextHowTo
from helper.text.text_roadmap import TextRoadmap
from tabs.htr_tool import htr_tool_tab
from tabs.stepwise_htr_tool import stepwise_htr_tool_tab
with gr.Blocks(title="HTR Riksarkivet", theme=theme, css=css) as demo:
gr.Markdown(TextApp.title_markdown)
with gr.Tabs():
with gr.Tab("HTR Tool"):
htr_tool_tab.render()
with gr.Tab("Stepwise HTR Tool"):
stepwise_htr_tool_tab.render()
with gr.Tab("How to use"):
with gr.Tabs():
with gr.Tab("HTR Tool"):
with gr.Row().style(equal_height=False):
with gr.Column():
gr.Markdown(TextHowTo.htr_tool)
with gr.Column():
gr.Markdown(TextHowTo.both_htr_tool_video)
gr.Video(
value="https://github.com/Borg93/htr_gradio_file_placeholder/raw/main/htr_tool_media_cut.mp4",
label="How to use HTR Tool",
)
gr.Markdown(TextHowTo.reach_out)
with gr.Tab("Stepwise HTR Tool"):
with gr.Row().style(equal_height=False):
with gr.Column():
gr.Markdown(TextHowTo.stepwise_htr_tool)
with gr.Column():
gr.Markdown(TextHowTo.both_htr_tool_video)
gr.Video(
value="https://github.com/Borg93/htr_gradio_file_placeholder/raw/main/eating_spaghetti.mp4",
label="How to use Stepwise HTR Tool",
)
gr.Markdown(TextHowTo.reach_out)
with gr.Row():
gr.Markdown(TextHowTo.stepwise_htr_tool_tab_intro)
with gr.Row():
with gr.Accordion("The tabs for the Stepwise HTR Tool:", open=True):
with gr.Tabs():
with gr.Tab("1. Region Segmentation"):
gr.Markdown(TextHowTo.stepwise_htr_tool_tab1)
with gr.Tab("2. Line Segmentation"):
gr.Markdown(TextHowTo.stepwise_htr_tool_tab2)
with gr.Tab("3. Transcribe Text"):
gr.Markdown(TextHowTo.stepwise_htr_tool_tab3)
with gr.Tab("4. Explore Results"):
gr.Markdown(TextHowTo.stepwise_htr_tool_tab4)
gr.Markdown(TextHowTo.stepwise_htr_tool_end)
with gr.Tab("API"):
with gr.Row():
with gr.Column():
gr.Markdown(TextHowTo.htr_tool_api_text)
gr.Code(
value="""
from gradio_client import Client # pip install gradio_client
# Change url to your client (localhost: http://127.0.0.1:7860/)
client = Client("https://huggingface.co/spaces/Riksarkivet/htr_demo")
job = client.submit(
"https://your.image.url.or.pah.jpg",
api_name="/predict",
)
print(job.result())
""",
language="python",
interactive=False,
show_label=False,
)
gr.Markdown(
"""
Below you can see the results, in XML, from the API call:
"""
)
gr.Markdown(TextHowTo.figure_htr_api)
with gr.Column():
gr.Markdown(TextHowTo.duplicatin_space_htr_text)
gr.Markdown(TextHowTo.figure_htr_hardware)
gr.Markdown(
"Note that if you have GPU hardware available, you can also run this application on Docker or clone it locally."
)
with gr.Tab("About"):
with gr.Tabs():
with gr.Tab("Project"):
with gr.Row():
gr.Markdown(TextAbout.intro_and_pipeline_overview_text)
with gr.Row():
with gr.Tabs():
with gr.Tab("I. Binarization"):
gr.Markdown(TextAbout.binarization)
with gr.Tab("II. Region Segmentation"):
gr.Markdown(TextAbout.text_region_segment)
with gr.Tab("III. Line Segmentation"):
gr.Markdown(TextAbout.text_line_segmentation)
with gr.Tab("IV. Transcriber"):
gr.Markdown(TextAbout.text_htr)
with gr.Row():
with gr.Column():
gr.Markdown(TextAbout.text_data)
with gr.Column():
gr.Markdown(TextAbout.text_models)
with gr.Tab("Roadmap"):
with gr.Row():
with gr.Column():
gr.Markdown(TextRoadmap.roadmap)
with gr.Column():
gr.Markdown(TextRoadmap.discussion)
demo.load(None, None, None, _js=js)
demo.queue(concurrency_count=5, max_size=20)
if __name__ == "__main__":
demo.launch(server_name="0.0.0.0", server_port=7860, show_api=False, show_error=True)
|