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import json
from collections import OrderedDict
from pathlib import Path
import streamlit as st
SEEKER_ICON = "https://github.com/McGill-NLP/FaithDial/raw/gh-pages/assets/img/seeker.png"
EXPERT_ICON = "https://github.com/McGill-NLP/FaithDial/raw/gh-pages/assets/img/expert.png"
begin_badges = {
"Entailment": "success",
"Hallucination": "danger",
"Partial Hallucination": "warning",
"Generic": "secondary",
"Uncooperative": "secondary",
}
st.set_page_config(page_title="FaithDial Explorer", page_icon=":stars:", layout="wide")
st.markdown(
"""
<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" />
<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>
<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>
<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">
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Permanent+Marker&display=swap" rel="stylesheet">
<style>
.dataset-title {
font-family: 'Permanent Marker', cursive;
font-size: 3.5rem;
}
.speaker-icon {
width: 20px;
}
p {
font-size: 2.8vmin;
}
span {
font-size: 2.8vmin;
}
.fa-flip-style {
--fa-animation-duration: 10s;
}
.faith-edit {
background-color: #d0f0c0;
}
</style>""",
unsafe_allow_html=True,
)
st.sidebar.write(
"""<center><p class="dataset-title">
<a href="https://mcgill-nlp.github.io/FaithDial/">FaithDial</a>
</p></center>""",
unsafe_allow_html=True,
)
# st.sidebar.image("datasets_logo_name.png", width=300)
st.sidebar.subheader("A Faithful Benchmark for Information-Seeking Dialogue")
@st.cache
def load_dialogues():
"""
Loads the samples from the data folder.
"""
samples_path = Path(__file__).parent / "faithdial-samples.jsonl"
with samples_path.open("r") as f:
samples = [json.loads(line) for line in f]
topics = OrderedDict()
for i, sample in enumerate(samples):
if sample.get("topic", None):
if sample["topic"] not in topics:
key = sample["topic"]
else:
key = f"{sample['topic']} (dialogue {i + 1})"
else:
key = f"Dialogue {i + 1}"
topics[key] = sample
return topics
dialogues = load_dialogues()
topics = tuple(dialogues.keys())
st.sidebar.markdown(
"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)."
)
selected_topic = st.sidebar.radio("Pick a topic", topics, help="", key="topic_picker")
st.sidebar.markdown(
"<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>",
unsafe_allow_html=True
)
if selected_topic is not None:
selected_dialogue = dialogues[selected_topic]
st.write(
f"""<i class="far fa-comments fa-2x fa-flip fa-flip-style"></i> <span class="h1">{selected_topic}</span>""",
unsafe_allow_html=True)
st.markdown("***")
for i, exchange in enumerate(selected_dialogue["exchanges"]):
turn = i + 1
# if exchange["history"]:
# history_template = """
# <div class="card">
# <div class="card-header">History</div>
# <div class="card-body">
# """
# for i, history in enumerate(exchange["history"]):
# icon = SEEKER_ICON if i % 2 == 0 else EXPERT_ICON
# history_template += (
# f""" <p class="card-text"><img src="{icon}" class="rounded speaker-icon" /> {history}</p>"""
# )
# history_template += """</div></div>"""
# st.write(history_template, unsafe_allow_html=True)
# st.write(f"""<h3>Turn {turn}</h3>""", unsafe_allow_html=True)
evidence_col, exchange_col = st.columns((0.7, 1))
evidence_template = f"""
<div class="alert alert-secondary" role="alert">
<h6 class="alert-heading"><span class="font-weight-bold" id="knowledge-{turn}">Knowledge</h6>
<p class="card-text mb-1">{exchange["evidence"]}</p>
</div>
<br/>
"""
evidence_col.write(evidence_template, unsafe_allow_html=True)
parallel_template = """
<div class="container">
<div class="row mb-3">
<div class="col">
{seeker}
</div>
</div>
<div class="row mb-4">
<div class="col">
{expert}
</div>
</div>
</div>
"""
seeker = exchange["seeker"]
is_seeker_modified = bool(seeker.get("OldText", None))
expert = exchange["expert"]
is_expert_modified = bool(expert.get("OldText", None))
exchange_pane = exchange_col.empty()
seeker_template = f"""<img src="{SEEKER_ICON}" class="rounded" style="text-align:center; width: 20px"/>
<span class="font-weight-bold">Seeker:</span> <span>{seeker["Text"]}</span>"""
expert_template = f"""<img src="{EXPERT_ICON}" class="rounded" style="text-align:center; width: 20px"/>
<span class="font-weight-bold">Wizard:</span> <span>{expert["Text"]}</span>"""
exchange_pane.write(
parallel_template.format(
seeker=seeker_template,
expert=expert_template,
),
unsafe_allow_html=True,
)
show_original = exchange_col.checkbox("Show original", key=f"show-{selected_topic}-{turn}")
if show_original:
apprentice_template = f"<span class='font-weight-bold'>Apprentice:</span> <span class='font-italic'>{seeker.get('OldText', None) or seeker['Text']}</span>"
badges = f"""<span class='badge badge-{begin_badges[expert['BEGIN']]}'>{expert['BEGIN']}</span>
{" ".join("<span class='badge badge-light'>{}</span>".format(v) for v in sorted(expert['VRM']))}"""
wizard_template = f"""<span class="font-weight-bold">Wizard:</span>
<span class="font-italic">{expert.get("OldText", None) or expert["Text"]}</span> {badges}"""
original_template = """<div class="card card-body bg-secondary text-white">
<div class="row mb-3">
<div class="col">
{apprentice}
</div>
</div>
<div class="row">
<div class="col">
{wizard}
</div>
</div>
</div>
"""
exchange_col.write(
original_template.format(apprentice=apprentice_template, wizard=wizard_template, turn=turn),
unsafe_allow_html=True,
)
seeker_template = f"""<img src="{SEEKER_ICON}" class="rounded" style="text-align:center; width: 20px"/>
<span class="font-weight-bold">Seeker:</span> {"<span class='faith-edit'>" if is_seeker_modified else "<span>"}{seeker["Text"]}</span>"""
expert_template = f"""<img src="{EXPERT_ICON}" class="rounded" style="text-align:center; width: 20px"/>
<span class="font-weight-bold">Wizard:</span> {"<span class='faith-edit'>" if is_expert_modified else "<span>"}{expert["Text"]}</span>"""
exchange_pane.write(
parallel_template.format(
seeker=seeker_template,
expert=expert_template,
),
unsafe_allow_html=True,
)
exchange_col.markdown('')
exchange_col.markdown("""***""")
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