Update app.py

making small changes to the values in the respective containers

app.py

@@ -13,7 +13,7 @@ dataset = st.container(border=True) #
 
 # TOTAL COUNT SECTION
 with complaints_count:
-    st.header("Complaints counts")
+    st.header("Complaints counts",divider=True)
     data = "./data/complaints_v1.csv"
     complaints_df = pd.read_csv(data,sep=",")
     total_counts = len(complaints_df.index)
@@ -30,29 +30,31 @@ with complaints_count:
 
 #Graphs SECTION
 with graphs:
-    st.header("Complaints plots")
-    
+    st.header("Complaints plots", divider=True)
     col1, col2 = st.columns(2)
     with col1:
         st.subheader('Complaints mon-o-mon', divider=True)
         data = {
+            'mon_indx': [1,2,3,4,5,6],
             '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)
+            'Service Issues': np.random.randint(0, 36, size=6),
+            'Product Issues': np.random.randint(0, 22, size=6),
+            'Billing Issues': np.random.randint(0, 19, size=6)
         }
         # Convert to DataFrame
         mom_df = pd.DataFrame(data)
         st.line_chart(mom_df,
                       x='Month',
+                      y=['Service Issues','Product Issues','Billing Issues'],
                       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(
+
+        source = pd.DataFrame({"issue_labels": ['Service Issues', 'Product Issues', 'Billing Issues'], "issue_counts": issue_counts})
+        chart = alt.Chart(source).mark_arc(innerRadius=120).encode(
                     theta=alt.Theta(field="issue_counts", type="quantitative"),
                     color=alt.Color(field="issue_labels", type="nominal"),
                     )
@@ -62,7 +64,7 @@ with graphs:
 
 # RECENT COMPLAINTS SECTION
 with dataset:
-    st.header("Recent Complaints")
+    st.header("Recent Complaints",divider=True)
     ground_truth_data = pd.read_csv("./data/ground_truth.csv")
     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']