de-dup in-line citations

app.py

@@ -10,6 +10,7 @@ warnings.filterwarnings(
     category=FutureWarning,
 )
 
+import re
 import gradio as gr
 from gradio.themes.base import Base
 from gradio.themes.utils import colors, fonts, sizes
@@ -271,6 +272,14 @@ Answer:"""
                                 url = context_index_to_url.get(i)
                                 replacement = f"[{source_label}]({url})" if url else source_label
                                 response_text = response_text.replace(f"[Context {i}]", replacement)
+                            # Deduplicate repeated inline markdown links — keep first as link, rest as plain text
+                            seen_inline = set()
+                            def _dedup_link(m):
+                                if m.group(0) in seen_inline:
+                                    return m.group(1)
+                                seen_inline.add(m.group(0))
+                                return m.group(0)
+                            response_text = re.sub(r'\[([^\]]+)\]\([^)]+\)', _dedup_link, response_text)
                             # Only append references when the model actually answered
                             no_answer_phrase = "The provided context does not contain enough information to answer this question."
                             no_answer_replacement = "The organic documents provided do not contain enough information to answer your question. For more information, try taking a look at the [Canadian Food Inspection Agency](https://inspection.canada.ca/en/food-labels/organic-products/) website."