# -*- coding: utf-8 -*-
# Hunyuan 3D is licensed under the TENCENT HUNYUAN NON-COMMERCIAL LICENSE AGREEMENT
# except for the third-party components listed below.
# Hunyuan 3D does not impose any additional limitations beyond what is outlined
# in the repsective licenses of these third-party components.
# Users must comply with all terms and conditions of original licenses of these third-party
# components and must ensure that the usage of the third party components adheres to
# all relevant laws and regulations.
# For avoidance of doubts, Hunyuan 3D means the large language models and
# their software and algorithms, including trained model weights, parameters (including
# optimizer states), machine-learning model code, inference-enabling code, training-enabling code,
# fine-tuning enabling code and other elements of the foregoing made publicly available
# by Tencent in accordance with TENCENT HUNYUAN COMMUNITY LICENSE AGREEMENT.
import io
import base64
import numpy as np
from PIL import Image
def to_html_frame(content):
html_frame = f"""
{content}
"""
return html_frame
def to_single_row_table(caption: str, content: str):
table_html = f"""
"""
return table_html
def to_image_embed_tag(image: np.ndarray):
# Convert np.ndarray to bytes
img = Image.fromarray(image)
raw_bytes = io.BytesIO()
img.save(raw_bytes, "PNG")
# Encode bytes to base64
image_base64 = base64.b64encode(raw_bytes.getvalue()).decode("utf-8")
image_tag = f"""
"""
return image_tag