forked from ayoubakh/topic-detection
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathhome.py
21 lines (16 loc) · 1.1 KB
/
home.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
import streamlit as st
def home():
st.write('--------------------------------------------')
st.markdown("<h1 style='text-align: center'>Topic Detection</h1>", unsafe_allow_html=True)
#st.markdown("<h5 style='text-align: center'>A system that allows you to scrape tweets from Twitter in a given period to detect the topics appearing in this period.</h5>", unsafe_allow_html=True)
st.markdown("<h5 style='text-align: center'>A system that allows you to scrape tweets from Twitter \
and detect the topics appearing in a given period.</h5>", unsafe_allow_html=True)
st.write(' ')
st.markdown("<h4>Fonctionnalities:</h4>", unsafe_allow_html=True)
st.markdown("1- Scraping data from news channels like CNN, FoxNews, BBC, ...")
st.markdown("2- Tweets preporocessing")
st.markdown("3- Topic detection using Latent Dirichlet Allocation")
#st.markdown("4- Topic tracking")
st.markdown('')
st.markdown("<h6 style='text-align: center'>Made By: AKHADAM Ayoub & OULAHBIB Idriss</h6>", unsafe_allow_html=True)
st.write('--------------------------------------------')