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Update app.py
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app.py
CHANGED
@@ -20,6 +20,7 @@ from models import (
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LabelRobertaForTokenClassification,
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)
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DEFAULT_TEXT = "τίω δέ μιν ἐν καρὸς αἴσῃ."
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BUTTON_CSS = "float: right; --tw-border-opacity: 1; border-color: rgb(229 231 235 / var(--tw-border-opacity)); --tw-gradient-from: rgb(243 244 246 / 0.7); --tw-gradient-stops: var(--tw-gradient-from), var(--tw-gradient-to, rgb(243 244 246 / 0)); --tw-gradient-to: rgb(229 231 235 / 0.8); --tw-text-opacity: 1; color: rgb(55 65 81 / var(--tw-text-opacity)); border-width: 1px; --tw-bg-opacity: 1; background-color: rgb(255 255 255 / var(--tw-bg-opacity)); background-image: linear-gradient(to bottom right, var(--tw-gradient-stops)); display: inline-flex; flex: 1 1 0%; align-items: center; justify-content: center; --tw-shadow: 0 1px 2px 0 rgb(0 0 0 / 0.05); --tw-shadow-colored: 0 1px 2px 0 var(--tw-shadow-color); box-shadow: var(--tw-ring-offset-shadow, 0 0 #0000), var(--tw-ring-shadow, 0 0 #0000), var(--tw-shadow); -webkit-appearance: button; border-radius: 0.5rem; padding-top: 0.5rem; padding-bottom: 0.5rem; padding-left: 1rem; padding-right: 1rem; font-size: 1rem; line-height: 1.5rem; font-weight: 600;"
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DEFAULT_COLOR = "white"
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@@ -33,7 +34,6 @@ MODEL_PATHS = {
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MODEL_MAX_LENGTH = 512
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AUTH_TOKEN = os.environ.get("TOKEN") or True
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# PoS
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pos_tokenizer = AutoTokenizer.from_pretrained(
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MODEL_PATHS["POS"], model_max_length=MODEL_MAX_LENGTH, use_auth_token=AUTH_TOKEN, revision="8bd84df2bcaee089307fd604c80139a34ac71f12",
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@@ -196,7 +196,7 @@ def parse(
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)["arcs"]
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options = {"compact": compact, "bg": bg, "color": text}
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svg = displacy.render(doc, manual=True, style="dep",
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if col_lemmata:
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soup = BeautifulSoup(svg, "lxml-xml")
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@@ -207,26 +207,31 @@ def parse(
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return svg, download_link
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def setup_parser_ui():
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with
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with gr.
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gr.Markdown("# Athena's Lens")
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gr.Markdown(
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"### From Ἀlkaios to Ὠrigen: A Modern Lens on Timeless Texts"
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)
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with gr.Group():
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gr.Markdown("## Enter some text")
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with gr.Row():
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with gr.Column(
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)
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with gr.Column():
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with gr.Row():
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with gr.Column():
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@@ -242,7 +247,6 @@ def setup_parser_ui():
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bg = gr.Textbox(label="Background Color", value=DEFAULT_COLOR)
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with gr.Column():
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text = gr.Textbox(label="Text Color", value="black")
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with gr.Group():
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with gr.Row():
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dep_output = gr.HTML(
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value=parse(
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@@ -254,16 +258,20 @@ def setup_parser_ui():
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False,
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DEFAULT_COLOR,
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"black",
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)[0]
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)
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with gr.Row():
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with gr.Column():
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dep_button = gr.Button(
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with gr.Column():
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dep_download_button = gr.HTML(
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value=download_svg(dep_output.value)
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)
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with gr.Column():
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with gr.Row():
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with gr.Column():
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@@ -277,21 +285,22 @@ def setup_parser_ui():
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)
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gr.Markdown(
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"""```bibtex
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)
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button.click(
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execute_parse,
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inputs=[
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@@ -324,7 +333,6 @@ def setup_parser_ui():
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return demo
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def main():
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demo = setup_parser_ui()
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demo.launch()
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LabelRobertaForTokenClassification,
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)
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+
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DEFAULT_TEXT = "τίω δέ μιν ἐν καρὸς αἴσῃ."
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BUTTON_CSS = "float: right; --tw-border-opacity: 1; border-color: rgb(229 231 235 / var(--tw-border-opacity)); --tw-gradient-from: rgb(243 244 246 / 0.7); --tw-gradient-stops: var(--tw-gradient-from), var(--tw-gradient-to, rgb(243 244 246 / 0)); --tw-gradient-to: rgb(229 231 235 / 0.8); --tw-text-opacity: 1; color: rgb(55 65 81 / var(--tw-text-opacity)); border-width: 1px; --tw-bg-opacity: 1; background-color: rgb(255 255 255 / var(--tw-bg-opacity)); background-image: linear-gradient(to bottom right, var(--tw-gradient-stops)); display: inline-flex; flex: 1 1 0%; align-items: center; justify-content: center; --tw-shadow: 0 1px 2px 0 rgb(0 0 0 / 0.05); --tw-shadow-colored: 0 1px 2px 0 var(--tw-shadow-color); box-shadow: var(--tw-ring-offset-shadow, 0 0 #0000), var(--tw-ring-shadow, 0 0 #0000), var(--tw-shadow); -webkit-appearance: button; border-radius: 0.5rem; padding-top: 0.5rem; padding-bottom: 0.5rem; padding-left: 1rem; padding-right: 1rem; font-size: 1rem; line-height: 1.5rem; font-weight: 600;"
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DEFAULT_COLOR = "white"
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MODEL_MAX_LENGTH = 512
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AUTH_TOKEN = os.environ.get("TOKEN") or True
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# PoS
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pos_tokenizer = AutoTokenizer.from_pretrained(
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MODEL_PATHS["POS"], model_max_length=MODEL_MAX_LENGTH, use_auth_token=AUTH_TOKEN, revision="8bd84df2bcaee089307fd604c80139a34ac71f12",
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)["arcs"]
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options = {"compact": compact, "bg": bg, "color": text}
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svg = displacy.render(doc, manual=True, options=options) #style="dep",
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if col_lemmata:
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soup = BeautifulSoup(svg, "lxml-xml")
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return svg, download_link
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def setup_parser_ui():
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demo = gr.Blocks(css="scrollbar.css")
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with demo:
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with gr.Row():
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with gr.Row():
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with gr.Column():
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gr.Markdown("# Athena's Lens")
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gr.Markdown(
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"### From Ἀlkaios to Ὠrigen: A Modern Lens on Timeless Texts"
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)
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with gr.Row():
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with gr.Column():
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gr.Markdown(" ## Enter some text")
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with gr.Row():
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with gr.Column(scale=0.5):
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text_input = gr.Textbox(
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value=DEFAULT_TEXT, interactive=True, label="Input Text"
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)
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with gr.Row():
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with gr.Column(scale=0.25):
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button = gr.Button("Update", variant="primary")#.style(
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#full_width=False
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#)
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with gr.Row():
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with gr.Column():
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with gr.Row():
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with gr.Column():
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bg = gr.Textbox(label="Background Color", value=DEFAULT_COLOR)
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with gr.Column():
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text = gr.Textbox(label="Text Color", value="black")
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with gr.Row():
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dep_output = gr.HTML(
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value=parse(
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False,
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DEFAULT_COLOR,
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"black",
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)[0],
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elem_classes=["output-html"]
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)
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with gr.Row():
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with gr.Column(scale=0.25):
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dep_button = gr.Button(
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"Update Parser", variant="primary"
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)#.style(full_width=False)
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with gr.Column():
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dep_download_button = gr.HTML(
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value=download_svg(dep_output.value)
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)
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with gr.Row():
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with gr.Column():
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with gr.Row():
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with gr.Column():
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)
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gr.Markdown(
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"""```bibtex
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@incollection{riemenschneider-frank-2023-exploring,
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title = "Exploring Large Language Models for Classical Philology",
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author = "Riemenschneider, Frederick and Frank, Anette",
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booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
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month = jul,
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year = "2023",
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address = "Toronto, Canada",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2023.acl-long.846",
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doi = "10.18653/v1/2023.acl-long.846",
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pages = "15181--15199",
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}
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```
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"""
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)
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button.click(
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execute_parse,
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inputs=[
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return demo
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def main():
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demo = setup_parser_ui()
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demo.launch()
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