Update app.py

Updated the app file with the required changes.

app.py

@@ -1,9 +1,14 @@
 import streamlit as st
+st.set_page_config(page_title="CRIS CMS System",layout="wide")
+
 import pandas as pd
+import numpy as np
+
+import altair as alt
 
-complaints_count = st.container() # contains the number of complaints in each bucket
-graphs = st.container() # contains the graphs for the complaints
-dataset = st.container() # shows the recent complaints
+complaints_count = st.container(border=True) # contains the number of complaints in each bucket
+graphs = st.container(border=True) # 
+dataset = st.container(border=True) #
 
 
 # TOTAL COUNT SECTION
@@ -25,7 +30,34 @@ with complaints_count:
 
 #Graphs SECTION
 with graphs:
-    st.header("Gprahs")
+    st.header("Complaints plots")
+    
+    col1, col2 = st.columns(2)
+    with col1:
+        st.subheader('Complaints mon-o-mon', divider=True)
+        data = {
+            'Month': ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun'],
+            'Service Issues': np.random.randint(30, 71, size=6),
+            'Product Issues': np.random.randint(30, 71, size=6),
+            'Billing Issues': np.random.randint(30, 71, size=6)
+        }
+        # Convert to DataFrame
+        mom_df = pd.DataFrame(data)
+        st.line_chart(mom_df,
+                      x='Month',
+                      use_container_width=True)
+
+    with col2:
+        st.subheader('Frequent Issues', divider=True)
+        issue_labels = ['service_issues', 'product_issues', 'billing_issues']
+        issue_counts = [complaints_df['sub_cat'].value_counts().get(label, 0) for label in issue_labels]
+        source = pd.DataFrame({"issue_labels": issue_labels, "issue_counts": issue_counts})
+        chart = alt.Chart(source).mark_arc(innerRadius=75).encode(
+                    theta=alt.Theta(field="issue_counts", type="quantitative"),
+                    color=alt.Color(field="issue_labels", type="nominal"),
+                    )
+        st.altair_chart(chart, theme="streamlit", use_container_width=True) 
+
 
 
 # RECENT COMPLAINTS SECTION
@@ -35,5 +67,6 @@ with dataset:
     ground_truth_data.rename(columns= {'audio_id':'Audio ID','file_name':'File Name', 'transcription':'Complaints', 'sub_cat':'Complaint Category'}, inplace = True)
     columns = ['Audio ID','File Name', 'Complaints', 'Complaint Category']
     st.dataframe(ground_truth_data[columns].iloc[15:23], 
-                 hide_index=True
+                 hide_index=True,
+                 use_container_width=True
                  )