Added streamlit expander for aesthetics

app.py

@@ -31,8 +31,12 @@ question_answer = load_pipeline(model_cp, tokenizer_cp)
 st.write("Model and tokenizer successfully loaded.")
 
 
-# Load csv
-uploaded_file = st.file_uploader("Choose a csv file", type="csv", key='file_uploader')
+# Upload csv - format with expander for aesthetics
+with st.expander("Upload csv file"):
+    uploaded_file = st.file_uploader("Choose a csv file", type="csv", key='file_uploader')
+
+
+# If file is uploaded, run inference
 if uploaded_file is not None:
     df = load_data(uploaded_file)
     st.write(df.head())