Update app.py

app.py

@@ -19,6 +19,10 @@ odi_df = pd.read_csv("odi.xls")
 t20_df = pd.read_csv("t20.xls")
 test_df = pd.read_csv("test.xls")
 
+test_teams_df = pd.read_csv("test-teams.xls")
+odi_teams_df = pd.read_csv("odi-teams.xls")
+t20_teams_df = pd.read_csv("t20-teams.xls")
+
 # Load CSV files
 batting_df = pd.read_csv("Batting_10_Teams_Final.csv")
 bowling_df = pd.read_csv("Bowling_10_Teams_Final.csv")
@@ -82,6 +86,20 @@ if option == "Team Info" and team_info:
     ])
     team_chain = team_prompt | model | out_par
     st.write(team_chain.invoke({"team_name": team_info}))
+    # Display bio from CSV
+    bio_text = team_bio_df[team_bio_df['Team'] == team_info]['Bio'].values[0]
+    st.markdown(bio_text)
+
+    # Combine all formats
+    odi_teams_df['Format'] = 'ODI'
+    t20_teams_df['Format'] = 'T20'
+    test_teams_df ['Format'] = 'Test'
+    combined_stats_df = pd.concat([odi_teams_df, t20_teams_df, test_teams_df], ignore_index=True)
+
+    # Show format-wise stats for selected team
+    st.subheader(f"{team_info} Format-wise Statistics")
+    team_stats = combined_stats_df[combined_stats_df['Team'] == team_info]
+    st.dataframe(team_stats.reset_index(drop=True))
 
 elif option == "Team Stats Comparison" and selected_teams_stats:
     st.title("Team Stats Comparison")