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
|
|
| 4 |
import gradio as gr
|
| 5 |
import spaces
|
| 6 |
from contents import (
|
| 7 |
-
|
|
|
|
| 8 |
description,
|
| 9 |
examples,
|
| 10 |
how_it_works_intro,
|
|
@@ -12,12 +13,14 @@ from contents import (
|
|
| 12 |
cci_explanation,
|
| 13 |
how_to_use,
|
| 14 |
example_explanation,
|
|
|
|
| 15 |
subtitle,
|
| 16 |
title,
|
| 17 |
powered_by,
|
| 18 |
support,
|
| 19 |
)
|
| 20 |
from gradio_highlightedtextbox import HighlightedTextbox
|
|
|
|
| 21 |
from presets import (
|
| 22 |
set_chatml_preset,
|
| 23 |
set_cora_preset,
|
|
@@ -178,7 +181,9 @@ with gr.Blocks(css=custom_css) as demo:
|
|
| 178 |
input_current_text = gr.Textbox(
|
| 179 |
label="Input query", placeholder="Your input query..."
|
| 180 |
)
|
| 181 |
-
|
|
|
|
|
|
|
| 182 |
with gr.Column():
|
| 183 |
pecore_output_highlights = HighlightedTextbox(
|
| 184 |
value=[
|
|
@@ -215,7 +220,6 @@ with gr.Blocks(css=custom_css) as demo:
|
|
| 215 |
attribute_input_examples = gr.Examples(
|
| 216 |
examples,
|
| 217 |
inputs=[input_current_text, input_context_text],
|
| 218 |
-
outputs=pecore_output_highlights,
|
| 219 |
examples_per_page=1,
|
| 220 |
)
|
| 221 |
with gr.Tab("βοΈ Parameters") as params_tab:
|
|
@@ -478,7 +482,16 @@ with gr.Blocks(css=custom_css) as demo:
|
|
| 478 |
with gr.Tab("π§ Usage Guide"):
|
| 479 |
gr.Markdown(how_to_use)
|
| 480 |
gr.Markdown(example_explanation)
|
| 481 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 482 |
with gr.Row(equal_height=True):
|
| 483 |
python_code_snippet = gr.Code(
|
| 484 |
value="""Generate Python code snippet by pressing the button.""",
|
|
@@ -494,12 +507,6 @@ with gr.Blocks(css=custom_css) as demo:
|
|
| 494 |
interactive=False,
|
| 495 |
show_label=True,
|
| 496 |
)
|
| 497 |
-
with gr.Tab("π Citing PECoRe"):
|
| 498 |
-
gr.Markdown(citation)
|
| 499 |
-
with gr.Row(elem_classes="footer-container"):
|
| 500 |
-
gr.Markdown(powered_by)
|
| 501 |
-
gr.Markdown(support)
|
| 502 |
-
|
| 503 |
|
| 504 |
# Main logic
|
| 505 |
|
|
@@ -650,11 +657,10 @@ with gr.Blocks(css=custom_css) as demo:
|
|
| 650 |
],
|
| 651 |
).success(preload_model, inputs=load_model_args, cancels=load_model_event)
|
| 652 |
|
| 653 |
-
|
| 654 |
update_code_snippets_fn,
|
| 655 |
inputs=pecore_args,
|
| 656 |
outputs=[python_code_snippet, shell_code_snippet],
|
| 657 |
-
|
| 658 |
-
)
|
| 659 |
|
| 660 |
demo.launch(allowed_paths=["outputs/", "img/"])
|
|
|
|
| 4 |
import gradio as gr
|
| 5 |
import spaces
|
| 6 |
from contents import (
|
| 7 |
+
pecore_citation,
|
| 8 |
+
inseq_citation,
|
| 9 |
description,
|
| 10 |
examples,
|
| 11 |
how_it_works_intro,
|
|
|
|
| 13 |
cci_explanation,
|
| 14 |
how_to_use,
|
| 15 |
example_explanation,
|
| 16 |
+
show_code_modal,
|
| 17 |
subtitle,
|
| 18 |
title,
|
| 19 |
powered_by,
|
| 20 |
support,
|
| 21 |
)
|
| 22 |
from gradio_highlightedtextbox import HighlightedTextbox
|
| 23 |
+
from gradio_modal import Modal
|
| 24 |
from presets import (
|
| 25 |
set_chatml_preset,
|
| 26 |
set_cora_preset,
|
|
|
|
| 181 |
input_current_text = gr.Textbox(
|
| 182 |
label="Input query", placeholder="Your input query..."
|
| 183 |
)
|
| 184 |
+
with gr.Row(equal_height=True):
|
| 185 |
+
show_code_btn = gr.Button("Show code", variant="secondary")
|
| 186 |
+
attribute_input_button = gr.Button("Run PECoRe", variant="primary")
|
| 187 |
with gr.Column():
|
| 188 |
pecore_output_highlights = HighlightedTextbox(
|
| 189 |
value=[
|
|
|
|
| 220 |
attribute_input_examples = gr.Examples(
|
| 221 |
examples,
|
| 222 |
inputs=[input_current_text, input_context_text],
|
|
|
|
| 223 |
examples_per_page=1,
|
| 224 |
)
|
| 225 |
with gr.Tab("βοΈ Parameters") as params_tab:
|
|
|
|
| 482 |
with gr.Tab("π§ Usage Guide"):
|
| 483 |
gr.Markdown(how_to_use)
|
| 484 |
gr.Markdown(example_explanation)
|
| 485 |
+
with gr.Tab("π Citing PECoRe"):
|
| 486 |
+
gr.Markdown("To refer to the PECoRe framework for context usage detection, cite:")
|
| 487 |
+
gr.Code(pecore_citation, interactive=False, label="PECoRe (Sarti et al., 2024)")
|
| 488 |
+
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:")
|
| 489 |
+
gr.Code(inseq_citation, interactive=False, label="Inseq (Sarti et al., 2023)")
|
| 490 |
+
with gr.Row(elem_classes="footer-container"):
|
| 491 |
+
gr.Markdown(powered_by)
|
| 492 |
+
gr.Markdown(support)
|
| 493 |
+
with Modal(visible=False) as code_modal:
|
| 494 |
+
gr.Markdown(show_code_modal)
|
| 495 |
with gr.Row(equal_height=True):
|
| 496 |
python_code_snippet = gr.Code(
|
| 497 |
value="""Generate Python code snippet by pressing the button.""",
|
|
|
|
| 507 |
interactive=False,
|
| 508 |
show_label=True,
|
| 509 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 510 |
|
| 511 |
# Main logic
|
| 512 |
|
|
|
|
| 657 |
],
|
| 658 |
).success(preload_model, inputs=load_model_args, cancels=load_model_event)
|
| 659 |
|
| 660 |
+
show_code_btn.click(
|
| 661 |
update_code_snippets_fn,
|
| 662 |
inputs=pecore_args,
|
| 663 |
outputs=[python_code_snippet, shell_code_snippet],
|
| 664 |
+
).then(lambda: Modal(visible=True), None, code_modal)
|
|
|
|
| 665 |
|
| 666 |
demo.launch(allowed_paths=["outputs/", "img/"])
|
contents.py
CHANGED
|
@@ -54,19 +54,15 @@ example_explanation = """
|
|
| 54 |
<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>
|
| 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>
|
| 56 |
</ol>
|
| 57 |
-
|
|
|
|
|
|
|
|
|
|
| 58 |
<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>
|
| 59 |
-
<p>The
|
| 60 |
-
<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>
|
| 61 |
"""
|
| 62 |
|
| 63 |
-
|
| 64 |
-
<p>To refer to the PECoRe framework for context usage detection, cite:</p>
|
| 65 |
-
<div class="code_wrap"><button class="copy_code_button" title="copy">
|
| 66 |
-
<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>
|
| 67 |
-
<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>
|
| 68 |
-
</button><pre><code>
|
| 69 |
-
@inproceedings{sarti-etal-2023-quantifying,
|
| 70 |
title = "Quantifying the Plausibility of Context Reliance in Neural Machine Translation",
|
| 71 |
author = "Sarti, Gabriele and
|
| 72 |
Chrupa{\l}a, Grzegorz and
|
|
@@ -78,15 +74,9 @@ citation = r"""
|
|
| 78 |
address = "Vienna, Austria",
|
| 79 |
publisher = "OpenReview",
|
| 80 |
url = "https://openreview.net/forum?id=XTHfNGI3zT"
|
| 81 |
-
}
|
| 82 |
-
|
| 83 |
-
|
| 84 |
-
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:
|
| 85 |
-
<div class="code_wrap"><button class="copy_code_button" title="copy">
|
| 86 |
-
<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>
|
| 87 |
-
<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>
|
| 88 |
-
</button><pre><code>
|
| 89 |
-
@inproceedings{sarti-etal-2023-inseq,
|
| 90 |
title = "Inseq: An Interpretability Toolkit for Sequence Generation Models",
|
| 91 |
author = "Sarti, Gabriele and
|
| 92 |
Feldhus, Nils and
|
|
@@ -101,13 +91,11 @@ If you use the Inseq implementation of PECoRe (<a href="https://inseq.org/en/lat
|
|
| 101 |
publisher = "Association for Computational Linguistics",
|
| 102 |
url = "https://aclanthology.org/2023.acl-demo.40",
|
| 103 |
pages = "421--435",
|
| 104 |
-
}
|
| 105 |
-
</code></pre></div>
|
| 106 |
-
"""
|
| 107 |
|
| 108 |
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>"""
|
| 109 |
|
| 110 |
-
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>"""
|
| 111 |
|
| 112 |
examples = [
|
| 113 |
[
|
|
|
|
| 54 |
<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>
|
| 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>
|
| 56 |
</ol>
|
| 57 |
+
"""
|
| 58 |
+
|
| 59 |
+
show_code_modal = """
|
| 60 |
+
<h2>Using PECoRe CLI</h3>
|
| 61 |
<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>
|
| 62 |
+
<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>
|
|
|
|
| 63 |
"""
|
| 64 |
|
| 65 |
+
pecore_citation = """@inproceedings{sarti-etal-2023-quantifying,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 66 |
title = "Quantifying the Plausibility of Context Reliance in Neural Machine Translation",
|
| 67 |
author = "Sarti, Gabriele and
|
| 68 |
Chrupa{\l}a, Grzegorz and
|
|
|
|
| 74 |
address = "Vienna, Austria",
|
| 75 |
publisher = "OpenReview",
|
| 76 |
url = "https://openreview.net/forum?id=XTHfNGI3zT"
|
| 77 |
+
}"""
|
| 78 |
+
|
| 79 |
+
inseq_citation = """@inproceedings{sarti-etal-2023-inseq,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 80 |
title = "Inseq: An Interpretability Toolkit for Sequence Generation Models",
|
| 81 |
author = "Sarti, Gabriele and
|
| 82 |
Feldhus, Nils and
|
|
|
|
| 91 |
publisher = "Association for Computational Linguistics",
|
| 92 |
url = "https://aclanthology.org/2023.acl-demo.40",
|
| 93 |
pages = "421--435",
|
| 94 |
+
}"""
|
|
|
|
|
|
|
| 95 |
|
| 96 |
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>"""
|
| 97 |
|
| 98 |
+
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>"""
|
| 99 |
|
| 100 |
examples = [
|
| 101 |
[
|
presets.py
CHANGED
|
@@ -107,6 +107,10 @@ def update_code_snippets_fn(
|
|
| 107 |
) -> tuple[str, str]:
|
| 108 |
if not input_current_text:
|
| 109 |
input_current_text = "<MISSING INPUT CURRENT TEXT, REQUIRED>"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 110 |
def py_get_kwargs_str(kwargs: str, name: str, pad: str = " " * 4) -> str:
|
| 111 |
kwargs_dict = json.loads(kwargs)
|
| 112 |
return nl + pad + name + '=' + str(kwargs_dict) + ',' if kwargs_dict else ''
|
|
@@ -120,18 +124,16 @@ def update_code_snippets_fn(
|
|
| 120 |
else:
|
| 121 |
return nl + pad + name + "=" + str(arg) + ","
|
| 122 |
def sh_get_kwargs_str(kwargs: str, name: str, pad: str = " " * 4) -> str:
|
| 123 |
-
return nl + pad + f"--{name} " + '"' + str(kwargs).
|
| 124 |
def sh_get_if_specified(arg: str | int | float | list | None, name: str, pad: str = " " * 4) -> str:
|
| 125 |
if arg is None or (isinstance(arg, (str, list)) and not arg) or (isinstance(arg, (int, float)) and arg <= 0):
|
| 126 |
return ""
|
| 127 |
elif isinstance(arg, str):
|
| 128 |
-
return nl + pad + f"--{name} " + '"' + arg
|
| 129 |
elif isinstance(arg, list):
|
| 130 |
-
return nl + pad + f"--{name} " + " ".join(str(arg)) + "
|
| 131 |
else:
|
| 132 |
-
return nl + pad + f"--{name} " + str(arg) + "
|
| 133 |
-
nl = "\n"
|
| 134 |
-
tq = "\"\"\""
|
| 135 |
# Python
|
| 136 |
python = f"""#!pip install inseq
|
| 137 |
import inseq
|
|
@@ -161,20 +163,19 @@ pecore_args = AttributeContextArgs(
|
|
| 161 |
out = attribute_context_with_model(pecore_args, loaded_model)"""
|
| 162 |
# Bash
|
| 163 |
bash = f"""# pip install inseq
|
| 164 |
-
inseq attribute-context
|
| 165 |
-
--
|
| 166 |
-
--
|
| 167 |
-
--
|
| 168 |
-
--
|
| 169 |
-
--
|
| 170 |
-
--
|
| 171 |
-
--
|
| 172 |
-
--
|
| 173 |
-
--
|
| 174 |
-
--
|
| 175 |
-
--
|
| 176 |
-
--
|
| 177 |
-
--
|
| 178 |
-
"""
|
| 179 |
return python, bash
|
| 180 |
|
|
|
|
| 107 |
) -> tuple[str, str]:
|
| 108 |
if not input_current_text:
|
| 109 |
input_current_text = "<MISSING INPUT CURRENT TEXT, REQUIRED>"
|
| 110 |
+
nl = "\n"
|
| 111 |
+
tq = "\"\"\""
|
| 112 |
+
def escape_quotes(s: str) -> str:
|
| 113 |
+
return s.replace('"', '\\"')
|
| 114 |
def py_get_kwargs_str(kwargs: str, name: str, pad: str = " " * 4) -> str:
|
| 115 |
kwargs_dict = json.loads(kwargs)
|
| 116 |
return nl + pad + name + '=' + str(kwargs_dict) + ',' if kwargs_dict else ''
|
|
|
|
| 124 |
else:
|
| 125 |
return nl + pad + name + "=" + str(arg) + ","
|
| 126 |
def sh_get_kwargs_str(kwargs: str, name: str, pad: str = " " * 4) -> str:
|
| 127 |
+
return nl + pad + f"--{name} " + '"' + escape_quotes("".join(x.strip() for x in str(kwargs).split("\n"))) + '"' + " \\" if json.loads(kwargs) else ''
|
| 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):
|
| 130 |
return ""
|
| 131 |
elif isinstance(arg, str):
|
| 132 |
+
return nl + pad + f"--{name} " + '"' + escape_quotes(arg) + '"' + " \\"
|
| 133 |
elif isinstance(arg, list):
|
| 134 |
+
return nl + pad + f"--{name} " + " ".join(str(arg)) + " \\"
|
| 135 |
else:
|
| 136 |
+
return nl + pad + f"--{name} " + str(arg) + " \\"
|
|
|
|
|
|
|
| 137 |
# Python
|
| 138 |
python = f"""#!pip install inseq
|
| 139 |
import inseq
|
|
|
|
| 163 |
out = attribute_context_with_model(pecore_args, loaded_model)"""
|
| 164 |
# Bash
|
| 165 |
bash = f"""# pip install inseq
|
| 166 |
+
inseq attribute-context \\
|
| 167 |
+
--model_name_or_path "{model_name_or_path}" \\
|
| 168 |
+
--attribution_method "{attribution_method}" \\
|
| 169 |
+
--attributed_fn "{attributed_fn}" \\
|
| 170 |
+
--context_sensitivity_metric "{context_sensitivity_metric}" \\
|
| 171 |
+
--context_sensitivity_std_threshold {context_sensitivity_std_threshold} \\{sh_get_if_specified(context_sensitivity_topk, "context_sensitivity_topk")}
|
| 172 |
+
--attribution_std_threshold {attribution_std_threshold} \\{sh_get_if_specified(attribution_topk, "attribution_topk")}
|
| 173 |
+
--input_current_text "{escape_quotes(input_current_text)}" \\{sh_get_if_specified(input_context_text, "input_context_text")}
|
| 174 |
+
--contextless_input_current_text "{escape_quotes(contextless_input_template)}" \\
|
| 175 |
+
--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 |
|