create new function to proceed column name in CSV file

app.py

@@ -13,6 +13,17 @@ nlp = spacy.load("en_core_web_md")
 st.title("Scattertext Analysis")
 st.header("Put your file here... ")
 
+def find_column_name(df, column_hint):
+    """
+    Searches through the DataFrame columns to find a match for a hint provided,
+    ignoring case and whitespace differences.
+    """
+    column_hint = column_hint.lower().replace(' ', '')
+    for col in df.columns:
+        if col.lower().replace(' ', '') == column_hint:
+            return col
+    raise ValueError(f"Column matching '{column_hint}' not found.")
+
 def compatison1(selected_column):
     # type_of_comparison 1
     row2_col1, row2_col2 = st.columns(2)
@@ -99,7 +110,7 @@ if __name__ == '__main__':
             df = pd.read_csv(uploaded_file)
             abstract_col = 'Abstract'
             title_col = 'Title'
-            source_title_col = 'Source title'
+            source_title_col = find_column_name(df, 'Source Title')
             year_col = 'Year'
             # preview the uploaded file
         elif uploaded_file.name.endswith(".txt"):