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import gradio as gr
from helper.examples.examples import DemoImages
from src.htr_pipeline.gradio_backend import FastTrack, SingletonModelLoader
model_loader = SingletonModelLoader()
fast_track = FastTrack(model_loader)
images_for_demo = DemoImages()
with gr.Blocks() as htr_tool_tab:
with gr.Row(equal_height=True):
with gr.Column(scale=2):
with gr.Row():
fast_track_input_region_image = gr.Image(
label="Image to run HTR on", type="numpy", tool="editor", elem_id="image_upload", height=395
)
with gr.Row():
radio_file_input = gr.CheckboxGroup(
choices=["Txt", "XML"],
value=["XML"],
label="Output file extension",
# info="Only txt and page xml is supported for now!",
scale=1,
)
htr_pipeline_button = gr.Button(
"Run HTR", variant="primary", visible=True, elem_id="run_pipeline_button", scale=1
)
with gr.Group():
with gr.Row():
fast_file_downlod = gr.File(label="Download output file", visible=False)
with gr.Row():
with gr.Accordion("Example images to use:", open=False) as fast_example_accord:
fast_name_files_placeholder = gr.Markdown(visible=False)
gr.Examples(
examples=images_for_demo.examples_list,
inputs=[fast_name_files_placeholder, fast_track_input_region_image],
label="Example images",
examples_per_page=5,
)
with gr.Row():
gr.Markdown(
"""
Image viewer for xml output:
<p align="center">
<a href="https://huggingface.co/spaces/Riksarkivet/Viewer_demo">
<img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-xl-dark.svg" alt="Badge 1">
</a>
</p>
"""
)
with gr.Column(scale=4):
fast_track_output_image = gr.Image(label="HTR results visualizer", type="numpy", tool="editor", height=650)
with gr.Row(visible=False) as api_placeholder:
htr_pipeline_button_api = gr.Button("Run pipeline", variant="primary", visible=False, scale=1)
xml_rendered_placeholder_for_api = gr.Textbox(visible=False)
htr_pipeline_button.click(
fast_track.segment_to_xml,
inputs=[fast_track_input_region_image, radio_file_input],
outputs=[fast_track_output_image, fast_file_downlod, fast_file_downlod],
)
htr_pipeline_button_api.click(
fast_track.segment_to_xml_api,
inputs=[fast_track_input_region_image],
outputs=[xml_rendered_placeholder_for_api],
api_name="predict",
)
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