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import gradio as gr
from RenderMarkdownZh import md_introduction_zh, md_transform_zh, md_likelihood_zh, md_posterior_zh
from RenderMarkdownZh import md_forward_process_zh, md_backward_process_zh, md_fit_posterior_zh
from RenderMarkdownZh import md_posterior_transform_zh, md_deconvolution_zh, md_cond_kl_zh, md_approx_gauss_zh
from RenderMarkdownZh import md_non_expanding_zh, md_stationary_zh, md_reference_zh, md_about_zh
from RenderMarkdownEn import md_introduction_en, md_transform_en, md_likelihood_en, md_posterior_en
from RenderMarkdownEn import md_forward_process_en, md_backward_process_en, md_fit_posterior_en
from RenderMarkdownEn import md_posterior_transform_en, md_deconvolution_en, md_cond_kl_en, md_approx_gauss_en
from RenderMarkdownEn import md_non_expanding_en, md_stationary_en, md_reference_en, md_about_en
def md_introduction_block(md_type="offline"):
if md_type == "offline":
gr.Accordion(label="0. Introduction", elem_classes="first_md", elem_id="introduction")
elif md_type == "zh":
md_introduction_zh()
elif md_type == "en":
md_introduction_en()
else:
raise NotImplementedError
return
def md_transform_block(md_type="offline"):
if md_type == "offline":
gr.Accordion(label="1. How To Transform", elem_classes="first_md", elem_id="transform")
elif md_type == "zh":
md_transform_zh()
elif md_type == "en":
md_transform_en()
else:
raise NotImplementedError
return
def md_likelihood_block(md_type="offline"):
if md_type == "offline":
gr.Accordion(label="2. Likelihood of The Transform", elem_classes="first_md", elem_id="likelihood")
elif md_type == "zh":
md_likelihood_zh()
elif md_type == "en":
md_likelihood_en()
else:
raise NotImplementedError
return
def md_posterior_block(md_type="offline"):
if md_type == "offline":
gr.Accordion(label="3. Posterior of The Transform", elem_classes="first_md", elem_id="posterior")
elif md_type == "zh":
md_posterior_zh()
elif md_type == "en":
md_posterior_en()
else:
raise NotImplementedError
return
def md_forward_process_block(md_type="offline"):
if md_type == "offline":
title = "4. Transform Data Distribution To Normal Distribution"
gr.Accordion(label=title, elem_classes="first_md", elem_id="forward_process")
elif md_type == "zh":
md_forward_process_zh()
elif md_type == "en":
md_forward_process_en()
else:
raise NotImplementedError
return
def md_backward_process_block(md_type="offline"):
if md_type == "offline":
title = "5. Restore Data Distribution From Normal Distribution"
gr.Accordion(label=title, elem_classes="first_md", elem_id="backward_process")
elif md_type == "zh":
md_backward_process_zh()
elif md_type == "en":
md_backward_process_en()
else:
raise NotImplementedError
return
def md_fit_posterior_block(md_type="offline"):
if md_type == "offline":
title = "6. Fitting Posterior With Conditional Gaussian Model"
gr.Accordion(label=title, elem_classes="first_md", elem_id="fit_posterior")
elif md_type == "zh":
md_fit_posterior_zh()
elif md_type == "en":
md_fit_posterior_en()
else:
raise NotImplementedError
return
def md_posterior_transform_block(md_type="offline"):
if md_type == "offline":
gr.Accordion(label="7. Posterior Transform", elem_classes="first_md", elem_id="posterior_transform")
elif md_type == "zh":
md_posterior_transform_zh()
elif md_type == "en":
md_posterior_transform_en()
else:
raise NotImplementedError
return
def md_deconvolution_block(md_type="offline"):
if md_type == "offline":
title = "8. Can the data distribution be restored by deconvolution?"
gr.Accordion(label=title, elem_classes="first_md", elem_id="deconvolution")
elif md_type == "zh":
md_deconvolution_zh()
elif md_type == "en":
md_deconvolution_en()
else:
raise NotImplementedError
return
def md_cond_kl_block(md_type="offline"):
if md_type == "offline":
title = "Appendix A Conditional KL Divergence"
gr.Accordion(label=title, elem_classes="first_md", elem_id="cond_kl")
elif md_type == "zh":
md_cond_kl_zh()
elif md_type == "en":
md_cond_kl_en()
else:
raise NotImplementedError
return
def md_approx_gauss_block(md_type="offline"):
if md_type == "offline":
title = "Appendix B When does the Posterior Approximate to Gaussian ?"
gr.Accordion(label=title, elem_classes="first_md", elem_id="approx_gauss")
elif md_type == "zh":
md_approx_gauss_zh()
elif md_type == "en":
md_approx_gauss_en()
else:
raise NotImplementedError
return
def md_non_expanding_block(md_type="offline"):
if md_type == "offline":
title = "Appendix C Posterior Transform is a Non-expanding Mapping"
gr.Accordion(label=title, elem_classes="first_md", elem_id="non_expanding")
elif md_type == "zh":
md_non_expanding_zh()
elif md_type == "en":
md_non_expanding_en()
else:
raise NotImplementedError
return
def md_stationary_block(md_type="offline"):
if md_type == "offline":
title = "Appendix D Posterior Transform Converges to the Unique Stationary Distribution"
gr.Accordion(label=title, elem_classes="first_md", elem_id="stationary")
elif md_type == "zh":
md_stationary_zh()
elif md_type == "en":
md_stationary_en()
else:
raise NotImplementedError
return
def md_reference_block(md_type="offline"):
if md_type == "offline":
gr.Accordion(label="Reference", elem_classes="first_md", elem_id="reference")
elif md_type == "zh":
md_reference_zh()
elif md_type == "en":
md_reference_en()
else:
raise NotImplementedError
return
def md_about_block(md_type="offline"):
if md_type == "offline":
gr.Accordion(label="About", elem_classes="first_md", elem_id="about")
elif md_type == "zh":
md_about_zh()
elif md_type == "en":
md_about_en()
else:
raise NotImplementedError
return
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