Update app.py

app.py

@@ -67,6 +67,7 @@ predict_and_log(data_open, 'Predicted_M', 'processed_text_mopen', true_label_col
 # Optionally display a confirmation message 
 st.write("Predictions have been logged. Check your logs for details.")
 """
+import streamlit as st
 import pandas as pd
 from transformers import pipeline
 from sklearn.metrics import accuracy_score, precision_recall_fscore_support, confusion_matrix
@@ -75,6 +76,7 @@ import matplotlib.pyplot as plt
 
 # Load data
 data = pd.read_excel("ResponseOpenPredicted.xlsx")
+st.title("Resume-based Personality Prediction by Serikov Ayanbek")
 
 # Calculate metrics
 def calculate_metrics(true_labels, predicted_labels):