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import streamlit as st
from configs.db_configs import create_table, engine
import plotly.express as px
import pandas as pd
from streamlit.components.v1 import html
from configs.html_features import set_image
def main():
create_table()
st.title('Welcome to the Multi-purpose Text Application')
im1, im2, im3 = st.columns([1, 5.3, 1])
with im1:
pass
with im2:
url = "https://i.postimg.cc/jdF1hPng/combined.png"
html(set_image(url), height=500, width=500)
with im3:
pass
col11, col12, col13, col14 = st.columns([1, 2, 2, 1])
with col11:
pass
with col12:
st.info('Text Summarizer')
with col13:
st.info('Text Analyzer')
with col14:
pass
col21, col22, col23, col24 = st.columns([1, 2, 2, 1])
with col21:
pass
with col22:
st.info('Text Translator')
with col23:
st.info('Topic Modeling')
with col24:
pass
plot1, plot2, plot3 = st.columns([5,1,5])
df = pd.read_sql('SELECT app from input_text', engine)['app'].value_counts().to_frame().reset_index()
df.columns = ['App', 'Frequency']
custom_color = px.colors.sequential.Blues_r
with plot1:
fig1 = px.pie(df, 'App', 'Frequency', title='The frequency of service usage as a percentage', width=400, height=500, color_discrete_sequence=custom_color)
fig1.update_layout(showlegend=False)
st.plotly_chart(fig1)
with plot2:
pass
with plot3:
fig2 = px.area(df, 'App', 'Frequency', width=400, height=500, title='The frequency of service usage')
st.plotly_chart(fig2)
if __name__ == '__main__':
main() |