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import streamlit as st
import datasets
import numpy as np
import html
def show_examples(category_name, dataset_name, model_lists, display_model_names):
st.divider()
sample_folder = f"./examples/{category_name}/{dataset_name}"
dataset = datasets.load_from_disk(sample_folder)
for index in range(len(dataset)):
with st.container():
st.markdown(f'##### Example-{index+1}')
col1, col2 = st.columns([0.3, 0.7], vertical_alignment="center")
# with col1:
st.audio(f'{sample_folder}/sample_{index}.wav', format="audio/wav")
if dataset_name in ['CN-College-Listen-MCQ-Test', 'DREAM-TTS-MCQ-Test']:
choices = dataset[index]['other_attributes']['choices']
if isinstance(choices, str):
choices_text = choices
elif isinstance(choices, list):
choices_text = ' '.join(i for i in choices)
question_text = f"""{dataset[index]['instruction']['text']} {choices_text}"""
else:
question_text = f"""{dataset[index]['instruction']['text']}"""
question_text = html.escape(question_text)
# st.divider()
with st.container():
custom_css = """
<style>
.my-container-table, p.my-container-text {
background-color: #fcf8dc;
padding: 10px;
border-radius: 5px;
font-size: 13px;
# height: 50px;
word-wrap: break-word
}
</style>
"""
st.markdown(custom_css, unsafe_allow_html=True)
model_lists.sort()
s = f"""<tr>
<td><b>REFERENCE</td>
<td><b>{html.escape(question_text.replace('(A)', '<br>(A)').replace('(B)', '<br>(B)').replace('(C)', '<br>(C)'))}
</td>
<td><b>{html.escape(dataset[index]['answer']['text'])}
</td>
</tr>
"""
if dataset_name in ['CN-College-Listen-MCQ-Test', 'DREAM-TTS-MCQ-Test']:
for model in model_lists:
try:
model_prediction = dataset[index][model]['model_prediction']
model_prediction = model_prediction.replace('<','').replace('>','').replace('\n','(newline)').replace('*','')
s += f"""<tr>
<td>{display_model_names[model]}</td>
<td>
{dataset[index][model]['text'].replace('Choices:', '<br>Choices:').replace('(A)', '<br>(A)').replace('(B)', '<br>(B)').replace('(C)', '<br>(C)')
}
</td>
<td>{html.escape(model_prediction)}</td>
</tr>"""
except:
print(f"{model} is not in {dataset_name}")
continue
else:
for model in model_lists:
print(dataset[index][model]['model_prediction'])
try:
model_prediction = dataset[index][model]['model_prediction']
model_prediction = model_prediction.replace('<','').replace('>','').replace('\n','(newline)').replace('*','')
s += f"""<tr>
<td>{display_model_names[model]}</td>
<td>{html.escape(dataset[index][model]['text'])}</td>
<td>{html.escape(model_prediction)}</td>
</tr>"""
except:
print(f"{model} is not in {dataset_name}")
continue
body_details = f"""<table style="table-layout: fixed; width:100%">
<thead>
<tr style="text-align: center;">
<th style="width:20%">MODEL</th>
<th style="width:30%">QUESTION</th>
<th style="width:50%">MODEL PREDICTION</th>
</tr>
{s}
</thead>
</table>"""
st.markdown(f"""<div class="my-container-table">
{body_details}
</div>""", unsafe_allow_html=True)
st.text("")
st.divider()
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