Upload Home.py

Home.py

@@ -0,0 +1,65 @@
+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()