Final style update
Browse files- app.py +19 -13
- contents.py +11 -23
- presets.py +22 -21
- requirements.txt +2 -1
- style.py +1 -1
app.py
CHANGED
@@ -4,7 +4,8 @@ import os
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import gradio as gr
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import spaces
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from contents import (
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-
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description,
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examples,
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how_it_works_intro,
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@@ -12,12 +13,14 @@ from contents import (
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cci_explanation,
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how_to_use,
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example_explanation,
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subtitle,
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title,
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powered_by,
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support,
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)
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from gradio_highlightedtextbox import HighlightedTextbox
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from presets import (
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set_chatml_preset,
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set_cora_preset,
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@@ -178,7 +181,9 @@ with gr.Blocks(css=custom_css) as demo:
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input_current_text = gr.Textbox(
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label="Input query", placeholder="Your input query..."
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)
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-
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with gr.Column():
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pecore_output_highlights = HighlightedTextbox(
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value=[
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@@ -215,7 +220,6 @@ with gr.Blocks(css=custom_css) as demo:
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attribute_input_examples = gr.Examples(
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examples,
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inputs=[input_current_text, input_context_text],
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-
outputs=pecore_output_highlights,
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examples_per_page=1,
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)
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with gr.Tab("βοΈ Parameters") as params_tab:
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@@ -478,7 +482,16 @@ with gr.Blocks(css=custom_css) as demo:
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with gr.Tab("π§ Usage Guide"):
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gr.Markdown(how_to_use)
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gr.Markdown(example_explanation)
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-
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with gr.Row(equal_height=True):
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python_code_snippet = gr.Code(
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value="""Generate Python code snippet by pressing the button.""",
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@@ -494,12 +507,6 @@ with gr.Blocks(css=custom_css) as demo:
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interactive=False,
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show_label=True,
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)
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-
with gr.Tab("π Citing PECoRe"):
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gr.Markdown(citation)
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with gr.Row(elem_classes="footer-container"):
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gr.Markdown(powered_by)
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gr.Markdown(support)
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-
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# Main logic
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@@ -650,11 +657,10 @@ with gr.Blocks(css=custom_css) as demo:
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],
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).success(preload_model, inputs=load_model_args, cancels=load_model_event)
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-
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update_code_snippets_fn,
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inputs=pecore_args,
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outputs=[python_code_snippet, shell_code_snippet],
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-
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)
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demo.launch(allowed_paths=["outputs/", "img/"])
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import gradio as gr
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import spaces
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from contents import (
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pecore_citation,
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inseq_citation,
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description,
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examples,
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how_it_works_intro,
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cci_explanation,
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how_to_use,
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example_explanation,
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+
show_code_modal,
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subtitle,
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title,
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powered_by,
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support,
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)
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from gradio_highlightedtextbox import HighlightedTextbox
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+
from gradio_modal import Modal
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from presets import (
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set_chatml_preset,
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set_cora_preset,
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input_current_text = gr.Textbox(
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label="Input query", placeholder="Your input query..."
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)
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+
with gr.Row(equal_height=True):
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show_code_btn = gr.Button("Show code", variant="secondary")
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attribute_input_button = gr.Button("Run PECoRe", variant="primary")
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with gr.Column():
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pecore_output_highlights = HighlightedTextbox(
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value=[
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attribute_input_examples = gr.Examples(
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examples,
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inputs=[input_current_text, input_context_text],
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examples_per_page=1,
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)
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with gr.Tab("βοΈ Parameters") as params_tab:
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with gr.Tab("π§ Usage Guide"):
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gr.Markdown(how_to_use)
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gr.Markdown(example_explanation)
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with gr.Tab("π Citing PECoRe"):
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gr.Markdown("To refer to the PECoRe framework for context usage detection, cite:")
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gr.Code(pecore_citation, interactive=False, label="PECoRe (Sarti et al., 2024)")
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gr.Markdown("If you use the Inseq implementation of PECoRe (<a href=\"https://inseq.org/en/latest/main_classes/cli.html#attribute-context\"><code>inseq attribute-context</code></a>, including this demo), please also cite:")
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gr.Code(inseq_citation, interactive=False, label="Inseq (Sarti et al., 2023)")
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with gr.Row(elem_classes="footer-container"):
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gr.Markdown(powered_by)
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gr.Markdown(support)
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with Modal(visible=False) as code_modal:
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gr.Markdown(show_code_modal)
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with gr.Row(equal_height=True):
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python_code_snippet = gr.Code(
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value="""Generate Python code snippet by pressing the button.""",
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interactive=False,
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show_label=True,
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)
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# Main logic
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],
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).success(preload_model, inputs=load_model_args, cancels=load_model_event)
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show_code_btn.click(
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update_code_snippets_fn,
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inputs=pecore_args,
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outputs=[python_code_snippet, shell_code_snippet],
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).then(lambda: Modal(visible=True), None, code_modal)
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demo.launch(allowed_paths=["outputs/", "img/"])
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contents.py
CHANGED
@@ -54,19 +54,15 @@ example_explanation = """
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<li>When using a model, make sure that the <b>contextual and contextless templates are set to match the expected format</b>. You can use presets to auto-fill these for the provided models.</li>
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<li>If you are using an encoder-decoder expecting an output context (e.g. the multilingual MT preset), the <b>output context should be provided manually</b> before running PECoRe in the <code>Generation context</code> parameter. This is a requirement for the demo because the splitting between output context and current cannot be reliably performed in an automatic way. However, the <code>inseq attribute-context</code> CLI command actually support various strategies, including prompting users for a split and/or trying an automatic source-target alignment. </li>
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</ol>
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-
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<p>This demo is useful for testing out various models and methods for PECoRe attribution, but the <a href="https://inseq.org/en/latest/main_classes/cli.html#attribute-context"><code>inseq attribute-context</code></a> CLI command is the way to go if you want to run experiments on several examples, or if you want to exploit the full customizability of the Inseq API.</p>
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<p>The
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<p>Once you are satisfied with the parameters you set (including context/query strings in the <code>π Demo</code> tab), just press the button and get your code snippets ready for usage! π€</p>
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"""
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-
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<p>To refer to the PECoRe framework for context usage detection, cite:</p>
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<div class="code_wrap"><button class="copy_code_button" title="copy">
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<span class="copy-text"><svg viewBox="0 0 32 32" height="100%" width="100%" xmlns="http://www.w3.org/2000/svg"><path d="M28 10v18H10V10h18m0-2H10a2 2 0 0 0-2 2v18a2 2 0 0 0 2 2h18a2 2 0 0 0 2-2V10a2 2 0 0 0-2-2Z" fill="currentColor"></path><path d="M4 18H2V4a2 2 0 0 1 2-2h14v2H4Z" fill="currentColor"></path></svg></span>
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<span class="check"><svg stroke-linejoin="round" stroke-linecap="round" stroke-width="3" stroke="currentColor" fill="none" viewBox="0 0 24 24" height="100%" width="100%" xmlns="http://www.w3.org/2000/svg"><polyline points="20 6 9 17 4 12"></polyline></svg></span>
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</button><pre><code>
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@inproceedings{sarti-etal-2023-quantifying,
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title = "Quantifying the Plausibility of Context Reliance in Neural Machine Translation",
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author = "Sarti, Gabriele and
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Chrupa{\l}a, Grzegorz and
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@@ -78,15 +74,9 @@ citation = r"""
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address = "Vienna, Austria",
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publisher = "OpenReview",
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url = "https://openreview.net/forum?id=XTHfNGI3zT"
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}
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-
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-
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If you use the Inseq implementation of PECoRe (<a href="https://inseq.org/en/latest/main_classes/cli.html#attribute-context"><code>inseq attribute-context</code></a>, including this demo), please also cite:
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<div class="code_wrap"><button class="copy_code_button" title="copy">
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<span class="copy-text"><svg viewBox="0 0 32 32" height="100%" width="100%" xmlns="http://www.w3.org/2000/svg"><path d="M28 10v18H10V10h18m0-2H10a2 2 0 0 0-2 2v18a2 2 0 0 0 2 2h18a2 2 0 0 0 2-2V10a2 2 0 0 0-2-2Z" fill="currentColor"></path><path d="M4 18H2V4a2 2 0 0 1 2-2h14v2H4Z" fill="currentColor"></path></svg></span>
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<span class="check"><svg stroke-linejoin="round" stroke-linecap="round" stroke-width="3" stroke="currentColor" fill="none" viewBox="0 0 24 24" height="100%" width="100%" xmlns="http://www.w3.org/2000/svg"><polyline points="20 6 9 17 4 12"></polyline></svg></span>
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</button><pre><code>
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@inproceedings{sarti-etal-2023-inseq,
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title = "Inseq: An Interpretability Toolkit for Sequence Generation Models",
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author = "Sarti, Gabriele and
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Feldhus, Nils and
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@@ -101,13 +91,11 @@ If you use the Inseq implementation of PECoRe (<a href="https://inseq.org/en/lat
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2023.acl-demo.40",
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pages = "421--435",
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}
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</code></pre></div>
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"""
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powered_by = """<div class="footer-custom-block"><b>Powered by</b> <a href='https://github.com/inseq-team/inseq' target='_blank'><img src="file/img/inseq_logo_white_contour.png" width=150px /></a></div>"""
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support = """<div class="footer-custom-block"><b>Built by <a href="https://gsarti.com" target="_blank">Gabriele Sarti</a> with the support of</b> <a href='https://www.rug.nl/research/clcg/research/cl/' target='_blank'><img src="file/img/rug_logo_white_contour.png" width=170px /></a><a href='https://projects.illc.uva.nl/indeep/' target='_blank'><img src="file/img/indeep_logo_white_contour.png" width=100px /></a><a href='https://www.esciencecenter.nl/' target='_blank'><img src="file/img/escience_logo_white_contour.png" width=120px /></a></div>"""
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examples = [
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[
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<li>When using a model, make sure that the <b>contextual and contextless templates are set to match the expected format</b>. You can use presets to auto-fill these for the provided models.</li>
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55 |
<li>If you are using an encoder-decoder expecting an output context (e.g. the multilingual MT preset), the <b>output context should be provided manually</b> before running PECoRe in the <code>Generation context</code> parameter. This is a requirement for the demo because the splitting between output context and current cannot be reliably performed in an automatic way. However, the <code>inseq attribute-context</code> CLI command actually support various strategies, including prompting users for a split and/or trying an automatic source-target alignment. </li>
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</ol>
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"""
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show_code_modal = """
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<h2>Using PECoRe CLI</h3>
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<p>This demo is useful for testing out various models and methods for PECoRe attribution, but the <a href="https://inseq.org/en/latest/main_classes/cli.html#attribute-context"><code>inseq attribute-context</code></a> CLI command is the way to go if you want to run experiments on several examples, or if you want to exploit the full customizability of the Inseq API.</p>
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<p>The snippets provided below are updated based on the current parameter configuration of the demo, and allow you to use Python and Shell code to call the Inseq CLI. <b>We recommend using the Python version for repeated evaluation, since it allows for model-preloading.</b></p>
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"""
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pecore_citation = """@inproceedings{sarti-etal-2023-quantifying,
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title = "Quantifying the Plausibility of Context Reliance in Neural Machine Translation",
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author = "Sarti, Gabriele and
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Chrupa{\l}a, Grzegorz and
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address = "Vienna, Austria",
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publisher = "OpenReview",
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url = "https://openreview.net/forum?id=XTHfNGI3zT"
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}"""
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inseq_citation = """@inproceedings{sarti-etal-2023-inseq,
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title = "Inseq: An Interpretability Toolkit for Sequence Generation Models",
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author = "Sarti, Gabriele and
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Feldhus, Nils and
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2023.acl-demo.40",
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pages = "421--435",
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}"""
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powered_by = """<div class="footer-custom-block"><b>Powered by</b> <a href='https://github.com/inseq-team/inseq' target='_blank'><img src="file/img/inseq_logo_white_contour.png" width=150px /></a></div>"""
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support = """<div class="footer-custom-block"><b>Built by <a href="https://gsarti.com" target="_blank">Gabriele Sarti</a><br> with the support of</b> <a href='https://www.rug.nl/research/clcg/research/cl/' target='_blank'><img src="file/img/rug_logo_white_contour.png" width=170px /></a><a href='https://projects.illc.uva.nl/indeep/' target='_blank'><img src="file/img/indeep_logo_white_contour.png" width=100px /></a><a href='https://www.esciencecenter.nl/' target='_blank'><img src="file/img/escience_logo_white_contour.png" width=120px /></a></div>"""
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examples = [
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[
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presets.py
CHANGED
@@ -107,6 +107,10 @@ def update_code_snippets_fn(
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) -> tuple[str, str]:
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if not input_current_text:
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input_current_text = "<MISSING INPUT CURRENT TEXT, REQUIRED>"
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def py_get_kwargs_str(kwargs: str, name: str, pad: str = " " * 4) -> str:
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kwargs_dict = json.loads(kwargs)
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return nl + pad + name + '=' + str(kwargs_dict) + ',' if kwargs_dict else ''
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@@ -120,18 +124,16 @@ def update_code_snippets_fn(
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else:
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return nl + pad + name + "=" + str(arg) + ","
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def sh_get_kwargs_str(kwargs: str, name: str, pad: str = " " * 4) -> str:
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-
return nl + pad + f"--{name} " + '"' + str(kwargs).
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def sh_get_if_specified(arg: str | int | float | list | None, name: str, pad: str = " " * 4) -> str:
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if arg is None or (isinstance(arg, (str, list)) and not arg) or (isinstance(arg, (int, float)) and arg <= 0):
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return ""
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elif isinstance(arg, str):
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-
return nl + pad + f"--{name} " + '"' + arg
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elif isinstance(arg, list):
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-
return nl + pad + f"--{name} " + " ".join(str(arg)) + "
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else:
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-
return nl + pad + f"--{name} " + str(arg) + "
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-
nl = "\n"
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-
tq = "\"\"\""
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# Python
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python = f"""#!pip install inseq
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import inseq
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@@ -161,20 +163,19 @@ pecore_args = AttributeContextArgs(
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out = attribute_context_with_model(pecore_args, loaded_model)"""
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# Bash
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bash = f"""# pip install inseq
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-
inseq attribute-context
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--
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--
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-
--
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--
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--
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--
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--
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--
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--
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--
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--
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--
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--
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"""
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return python, bash
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) -> tuple[str, str]:
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if not input_current_text:
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input_current_text = "<MISSING INPUT CURRENT TEXT, REQUIRED>"
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+
nl = "\n"
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tq = "\"\"\""
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+
def escape_quotes(s: str) -> str:
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return s.replace('"', '\\"')
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def py_get_kwargs_str(kwargs: str, name: str, pad: str = " " * 4) -> str:
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kwargs_dict = json.loads(kwargs)
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return nl + pad + name + '=' + str(kwargs_dict) + ',' if kwargs_dict else ''
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else:
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return nl + pad + name + "=" + str(arg) + ","
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def sh_get_kwargs_str(kwargs: str, name: str, pad: str = " " * 4) -> str:
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+
return nl + pad + f"--{name} " + '"' + escape_quotes("".join(x.strip() for x in str(kwargs).split("\n"))) + '"' + " \\" if json.loads(kwargs) else ''
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128 |
def sh_get_if_specified(arg: str | int | float | list | None, name: str, pad: str = " " * 4) -> str:
|
129 |
if arg is None or (isinstance(arg, (str, list)) and not arg) or (isinstance(arg, (int, float)) and arg <= 0):
|
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return ""
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elif isinstance(arg, str):
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+
return nl + pad + f"--{name} " + '"' + escape_quotes(arg) + '"' + " \\"
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elif isinstance(arg, list):
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+
return nl + pad + f"--{name} " + " ".join(str(arg)) + " \\"
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else:
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return nl + pad + f"--{name} " + str(arg) + " \\"
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# Python
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python = f"""#!pip install inseq
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import inseq
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out = attribute_context_with_model(pecore_args, loaded_model)"""
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# Bash
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bash = f"""# pip install inseq
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+
inseq attribute-context \\
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+
--model_name_or_path "{model_name_or_path}" \\
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+
--attribution_method "{attribution_method}" \\
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+
--attributed_fn "{attributed_fn}" \\
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+
--context_sensitivity_metric "{context_sensitivity_metric}" \\
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--context_sensitivity_std_threshold {context_sensitivity_std_threshold} \\{sh_get_if_specified(context_sensitivity_topk, "context_sensitivity_topk")}
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+
--attribution_std_threshold {attribution_std_threshold} \\{sh_get_if_specified(attribution_topk, "attribution_topk")}
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+
--input_current_text "{escape_quotes(input_current_text)}" \\{sh_get_if_specified(input_context_text, "input_context_text")}
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+
--contextless_input_current_text "{escape_quotes(contextless_input_template)}" \\
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+
--input_template "{escape_quotes(input_template)}" \\{sh_get_if_specified(output_current_text, "output_current_text")}{sh_get_if_specified(output_context_text, "output_context_text")}
|
176 |
+
--contextless_output_current_text "{escape_quotes(contextless_output_template)}" \\
|
177 |
+
--output_template "{escape_quotes(output_template)}" \\{sh_get_if_specified(special_tokens_to_keep, "special_tokens_to_keep")}{sh_get_if_specified(decoder_input_output_separator, "decoder_input_output_separator")}
|
178 |
+
--save_path "pecore_output.json" \\
|
179 |
+
--viz_path "pecore_output.html" \\{sh_get_kwargs_str(model_kwargs, "model_kwargs")}{sh_get_kwargs_str(tokenizer_kwargs, "tokenizer_kwargs")}{sh_get_kwargs_str(generation_kwargs, "generation_kwargs")}{sh_get_kwargs_str(attribution_kwargs, "attribution_kwargs")}""".strip("\\")
|
|
|
180 |
return python, bash
|
181 |
|
requirements.txt
CHANGED
@@ -1,3 +1,4 @@
|
|
1 |
spaces
|
2 |
git+https://github.com/inseq-team/inseq.git@main
|
3 |
-
gradio_highlightedtextbox
|
|
|
|
1 |
spaces
|
2 |
git+https://github.com/inseq-team/inseq.git@main
|
3 |
+
gradio_highlightedtextbox
|
4 |
+
gradio_modal
|
style.py
CHANGED
@@ -35,7 +35,7 @@ custom_css = """
|
|
35 |
margin-right: 10px;
|
36 |
}
|
37 |
|
38 |
-
.footer-custom-block
|
39 |
margin-right: 15px;
|
40 |
}
|
41 |
|
|
|
35 |
margin-right: 10px;
|
36 |
}
|
37 |
|
38 |
+
.footer-custom-block img {
|
39 |
margin-right: 15px;
|
40 |
}
|
41 |
|