Update Demo.py

Demo.py

@@ -143,8 +143,8 @@ output = fit_data(pipeline, text_to_analyze)
 # Display matched sentence
 st.subheader("Processed output:")
 
-# Define the abbreviation mapping
-abbreviation_mapping = dict(zip('RGC', ['LOC', 'PER', 'MISC', 'ORG']))
+# Define the correct abbreviation mapping
+abbreviation_mapping = {'R': 'PER', 'G': 'ORG', 'C': 'LOC', 'SC': 'MISC'}
 
 # Extract the NER results
 results = {