Update app.py

app.py

@@ -15,36 +15,39 @@ import gradio as gr
 
 import stanza
 
-# baixa modelo uma vez (HF-friendly)
-try:
-    stanza.download(
-        "grc",
-        processors="tokenize,pos,lemma,morph",
-        verbose=False
-    )
-except Exception:
-    pass
-
 ud_nlp = None
 UD_AVAILABLE = False
 
-try:
-    ud_nlp = stanza.Pipeline(
-        lang="grc",
-        processors="tokenize,pos,lemma,morph",
-        tokenize_no_ssplit=True,
-        use_gpu=False
-    )
-    UD_AVAILABLE = True
-except Exception:
-    UD_AVAILABLE = False
-
 
 def morph_ud_analyze(sentence: str):
-    """Morph_Raw UD: frase -> lista de tokens com lema, UPOS e feats."""
-    if not UD_AVAILABLE or not sentence.strip():
+    global ud_nlp, UD_AVAILABLE
+
+    if not sentence or not sentence.strip():
         return None
 
+    # inicializa o UD SOMENTE na primeira chamada
+    if ud_nlp is None:
+        try:
+            stanza.download(
+                "grc",
+                processors="tokenize,pos,lemma,morph",
+                verbose=False
+            )
+
+            ud_nlp = stanza.Pipeline(
+                lang="grc",
+                processors="tokenize,pos,lemma,morph",
+                tokenize_no_ssplit=True,
+                use_gpu=False
+            )
+
+            UD_AVAILABLE = True
+
+        except Exception:
+            UD_AVAILABLE = False
+            return None
+
+    # análise propriamente dita
     doc = ud_nlp(sentence)
     results = []
 
@@ -56,9 +59,11 @@ def morph_ud_analyze(sentence: str):
                 "upos": w.upos,
                 "feats": w.feats
             })
+
     return results
 
 
+
 # ============================================================
 # DDGP — UTILITÁRIOS
 # ============================================================