fix: Auto-download Stanza Coptic models on first use

- Modified CopticParserCore.load_parser() to detect missing models
- Automatically downloads Coptic models via stanza.download('cop')
- Added detailed error handling and user feedback
- Modified get_parser() to load models on-demand, not at initialization
- Fixes "Resources file not found" error in HuggingFace deployment

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>

apertus_ui.py

@@ -313,7 +313,8 @@ def get_parser():
     """Initialize and cache the Coptic parser"""
     try:
         parser = CopticParserCore()
-        parser.load_parser()  # Pre-load to avoid delays
+        # Note: Don't pre-load here, load on demand to avoid startup delays
+        # First use will trigger model download if needed
         return parser
     except Exception as e:
         st.error(f"Failed to initialize parser: {e}")

coptic_parser_core.py

@@ -25,15 +25,38 @@ class CopticParserCore:
 
         print("Loading Coptic NLP models...")
 
-        # Load Stanza with all processors
-        self.nlp = stanza.Pipeline(
-            lang='cop',
-            processors='tokenize,pos,lemma,depparse',
-            download_method=None,
-            verbose=False
-        )
-
-        print("✓ Coptic parser loaded successfully")
+        try:
+            # Try to load Stanza with all processors
+            self.nlp = stanza.Pipeline(
+                lang='cop',
+                processors='tokenize,pos,lemma,depparse',
+                download_method=None,
+                verbose=False
+            )
+            print("✓ Coptic parser loaded successfully")
+
+        except Exception as e:
+            # If models not found, download them
+            if "Resources file not found" in str(e) or "not found" in str(e).lower():
+                print("📥 Coptic models not found. Downloading (this may take 2-3 minutes)...")
+                try:
+                    # Download Coptic models
+                    stanza.download('cop', verbose=False)
+
+                    # Try loading again
+                    self.nlp = stanza.Pipeline(
+                        lang='cop',
+                        processors='tokenize,pos,lemma,depparse',
+                        download_method=None,
+                        verbose=False
+                    )
+                    print("✓ Coptic models downloaded and loaded successfully")
+                except Exception as download_error:
+                    print(f"❌ Failed to download Coptic models: {download_error}")
+                    raise
+            else:
+                print(f"❌ Failed to load parser: {e}")
+                raise
 
     def parse_text(self, text):
         """