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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() | |