app description, title

app.py

@@ -11,6 +11,15 @@ import streamlit as st
 # Initialize the pipeline
 pipe = pipeline("table-question-answering", model="google/tapas-large-finetuned-wtq")
 
+st.set_page_config(page_title="Table Question Answering", layout="wide")
+st.title("📊 Table Question Answering")
+st.write("""
+Welcome to the **Table Question Answering** app! 
+You can upload or paste your own table and ask questions about it.
+The model will analyze the table and provide accurate answers.
+""")
+
+
 # Define the table data
 data = {
     "year": [1896, 1900, 1904, 2004, 2008, 2012],
@@ -28,7 +37,7 @@ query = st.text_input("Ask a question about the table:", "In which year did beij
 if "history" not in st.session_state:
     st.session_state.history = []
 
-# Process query and display result
+#process query and display result
 if st.button("Get Answer"):
     result = pipe(table=table, query=query)
     st.session_state.history.append({"query": query, "answer": result["answer"]})