-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathhomepage.py
31 lines (22 loc) · 970 Bytes
/
homepage.py
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
import streamlit as st
from streamlit.logger import get_logger
LOGGER = get_logger(__name__)
def run():
st.set_page_config(
page_title="Text Style Extraction"
)
st.markdown(
"""
Project Description: \n
"""
)
st.image('data_visualisation/home_image.png')
st.markdown(
"""
Style extraction is a fascinating area of machine learning that focuses on the automatic identification and extraction of stylistic elements from various forms of media, including text, images, and audio.
- These stylistic elements can include characteristics such as color schemes, typography, writing style, and artistic motifs.
- By leveraging machine learning techniques, style extraction enables the analysis and understanding of artistic expression, aiding in tasks such as content categorization, recommendation systems, and content creation.
"""
)
if __name__ == "__main__":
run()