File size: 1,809 Bytes
44931be | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | # -*- 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"""
<html>
<body>
{content}
</body>
</html>
"""
return html_frame
def to_single_row_table(caption: str, content: str):
table_html = f"""
<table border = "1">
<caption>{caption}</caption>
<tr>
<td>{content}</td>
</tr>
</table>
"""
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"""
<img src="data:image/png;base64,{image_base64}" alt="Embedded Image">
"""
return image_tag
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