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nouhadziri
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Parent(s):
07aaea6
app script added
Browse files
app.py
ADDED
@@ -0,0 +1,217 @@
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import json
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from collections import OrderedDict
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from pathlib import Path
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import streamlit as st
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SEEKER_ICON = "https://github.com/McGill-NLP/FaithDial/raw/gh-pages/assets/img/seeker.png"
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EXPERT_ICON = "https://github.com/McGill-NLP/FaithDial/raw/gh-pages/assets/img/expert.png"
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begin_badges = {
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"Entailment": "success",
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"Hallucination": "danger",
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"Partial Hallucination": "warning",
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"Generic": "secondary",
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"Uncooperative": "secondary",
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}
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st.set_page_config(page_title="FaithDial Explorer", page_icon=":stars:", layout="wide")
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st.markdown(
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"""
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.1.1/css/all.min.css" integrity="sha512-KfkfwYDsLkIlwQp6LFnl8zNdLGxu9YAA1QvwINks4PhcElQSvqcyVLLD9aMhXd13uQjoXtEKNosOWaZqXgel0g==" crossorigin="anonymous" referrerpolicy="no-referrer" />
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<script src="https://cdn.jsdelivr.net/npm/jquery@3.5.1/dist/jquery.slim.min.js" integrity="sha384-DfXdz2htPH0lsSSs5nCTpuj/zy4C+OGpamoFVy38MVBnE+IbbVYUew+OrCXaRkfj" crossorigin="anonymous"></script>
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<script src="https://cdn.jsdelivr.net/npm/bootstrap@4.6.1/dist/js/bootstrap.bundle.min.js" integrity="sha384-fQybjgWLrvvRgtW6bFlB7jaZrFsaBXjsOMm/tB9LTS58ONXgqbR9W8oWht/amnpF" crossorigin="anonymous"></script>
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@4.6.1/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha256-DF7Zhf293AJxJNTmh5zhoYYIMs2oXitRfBjY+9L//AY=" crossorigin="anonymous">
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=Permanent+Marker&display=swap" rel="stylesheet">
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<style>
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.dataset-title {
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font-family: 'Permanent Marker', cursive;
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font-size: 3.5rem;
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}
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.speaker-icon {
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width: 20px;
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}
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p {
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font-size: 2.8vmin;
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}
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span {
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font-size: 2.8vmin;
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}
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.fa-flip-style {
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--fa-animation-duration: 10s;
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}
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.faith-edit {
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background-color: #d0f0c0;
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}
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</style>""",
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unsafe_allow_html=True,
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)
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st.sidebar.write(
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"""<center><p class="dataset-title">
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<a href="https://mcgill-nlp.github.io/FaithDial/">FaithDial</a>
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</p></center>""",
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unsafe_allow_html=True,
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)
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# st.sidebar.image("datasets_logo_name.png", width=300)
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st.sidebar.subheader("A Faithful Benchmark for Information-Seeking Dialogue")
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@st.cache
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def load_dialogues():
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"""
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Loads the samples from the data folder.
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"""
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samples_path = Path(__file__).parent / "faithdial-samples.jsonl"
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with samples_path.open("r") as f:
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samples = [json.loads(line) for line in f]
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topics = OrderedDict()
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for i, sample in enumerate(samples):
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if sample.get("topic", None):
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if sample["topic"] not in topics:
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key = sample["topic"]
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else:
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key = f"{sample['topic']} (dialogue {i + 1})"
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else:
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key = f"Dialogue {i + 1}"
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topics[key] = sample
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return topics
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dialogues = load_dialogues()
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topics = tuple(dialogues.keys())
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st.sidebar.markdown(
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"FaithDial contains 50,761 turns spanning 5649 conversations. Below you can choose a topic and visualize the conversation on the right hand side. Download the data from [here](https://huggingface.co/datasets/McGill-NLP/FaithDial)."
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)
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selected_topic = st.sidebar.radio("Pick a topic", topics, help="", key="topic_picker")
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st.sidebar.markdown(
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"<div class='mt-5'>Proudly collected at <a href='https://mcgill-nlp.github.io/'>McGill-NLP</a> in collaboration with <a href='https://www.amii.ca/'>Amii</a> & IBM</div>",
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unsafe_allow_html=True
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)
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if selected_topic is not None:
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selected_dialogue = dialogues[selected_topic]
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st.write(
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f"""<i class="far fa-comments fa-2x fa-flip fa-flip-style"></i> <span class="h1">{selected_topic}</span>""",
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unsafe_allow_html=True)
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st.markdown("***")
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for i, exchange in enumerate(selected_dialogue["exchanges"]):
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turn = i + 1
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# if exchange["history"]:
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# history_template = """
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# <div class="card">
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# <div class="card-header">History</div>
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# <div class="card-body">
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# """
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# for i, history in enumerate(exchange["history"]):
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# icon = SEEKER_ICON if i % 2 == 0 else EXPERT_ICON
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# history_template += (
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# f""" <p class="card-text"><img src="{icon}" class="rounded speaker-icon" /> {history}</p>"""
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# )
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# history_template += """</div></div>"""
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# st.write(history_template, unsafe_allow_html=True)
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# st.write(f"""<h3>Turn {turn}</h3>""", unsafe_allow_html=True)
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evidence_col, exchange_col = st.columns((0.7, 1))
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evidence_template = f"""
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<div class="alert alert-secondary" role="alert">
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<h6 class="alert-heading"><span class="font-weight-bold" id="knowledge-{turn}">Knowledge</h6>
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<p class="card-text mb-1">{exchange["evidence"]}</p>
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</div>
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<br/>
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"""
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evidence_col.write(evidence_template, unsafe_allow_html=True)
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parallel_template = """
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<div class="container">
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<div class="row mb-3">
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<div class="col">
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{seeker}
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</div>
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</div>
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<div class="row mb-4">
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<div class="col">
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{expert}
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</div>
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</div>
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</div>
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"""
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seeker = exchange["seeker"]
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is_seeker_modified = bool(seeker.get("OldText", None))
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expert = exchange["expert"]
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is_expert_modified = bool(expert.get("OldText", None))
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exchange_pane = exchange_col.empty()
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seeker_template = f"""<img src="{SEEKER_ICON}" class="rounded" style="text-align:center; width: 20px"/>
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<span class="font-weight-bold">Seeker:</span> <span>{seeker["Text"]}</span>"""
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expert_template = f"""<img src="{EXPERT_ICON}" class="rounded" style="text-align:center; width: 20px"/>
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<span class="font-weight-bold">Wizard:</span> <span>{expert["Text"]}</span>"""
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exchange_pane.write(
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parallel_template.format(
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seeker=seeker_template,
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expert=expert_template,
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),
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unsafe_allow_html=True,
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)
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show_original = exchange_col.checkbox("Show original", key=f"show-{selected_topic}-{turn}")
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if show_original:
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apprentice_template = f"<span class='font-weight-bold'>Apprentice:</span> <span class='font-italic'>{seeker.get('OldText', None) or seeker['Text']}</span>"
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badges = f"""<span class='badge badge-{begin_badges[expert['BEGIN']]}'>{expert['BEGIN']}</span>
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{" ".join("<span class='badge badge-light'>{}</span>".format(v) for v in sorted(expert['VRM']))}"""
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wizard_template = f"""<span class="font-weight-bold">Wizard:</span>
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<span class="font-italic">{expert.get("OldText", None) or expert["Text"]}</span> {badges}"""
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original_template = """<div class="card card-body bg-secondary text-white">
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<div class="row mb-3">
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<div class="col">
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{apprentice}
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</div>
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</div>
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<div class="row">
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<div class="col">
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{wizard}
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</div>
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</div>
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</div>
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"""
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exchange_col.write(
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original_template.format(apprentice=apprentice_template, wizard=wizard_template, turn=turn),
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unsafe_allow_html=True,
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)
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seeker_template = f"""<img src="{SEEKER_ICON}" class="rounded" style="text-align:center; width: 20px"/>
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<span class="font-weight-bold">Seeker:</span> {"<span class='faith-edit'>" if is_seeker_modified else "<span>"}{seeker["Text"]}</span>"""
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expert_template = f"""<img src="{EXPERT_ICON}" class="rounded" style="text-align:center; width: 20px"/>
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<span class="font-weight-bold">Wizard:</span> {"<span class='faith-edit'>" if is_expert_modified else "<span>"}{expert["Text"]}</span>"""
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exchange_pane.write(
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parallel_template.format(
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seeker=seeker_template,
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expert=expert_template,
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),
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unsafe_allow_html=True,
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)
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exchange_col.markdown('')
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exchange_col.markdown("""***""")
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