fix the code in sentence

.gitignore

@@ -2,4 +2,5 @@ __pycache__/
 DS_Store
 .env
 .vscode/
-*.pyc
+*.pyc
+.gradio/

app.py

@@ -4,6 +4,7 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 import logging
 from detect_language import detect_language
 import traceback
+import re
 
 # --- 1. SETUP ---
 logging.getLogger("transformers.tokenization_utils_base").setLevel(logging.ERROR)
@@ -48,10 +49,13 @@ def predict(text, tgt_choice):
     # B. GET TARGET
     tgt_lang = LANG_CODES.get(tgt_choice, "uig_Arab")
     tokenizer.src_lang = src_lang
+    
+    sentences = re.split(r'(?<=[.!?؟])\s+|(?<=[。！？])', text.strip())
+    print(f"Splitting paragraph into {len(sentences)} sentences to translate...")
 
     # C. GENERATE
     inputs = tokenizer(
-        text,
+        sentences,
         return_tensors="pt",
         padding=True,
         truncation=True,
@@ -69,8 +73,10 @@ def predict(text, tgt_choice):
             no_repeat_ngram_size=3
         )
 
-    translation = tokenizer.batch_decode(out, skip_special_tokens=True)[0]
-    
+    translated_sentences = tokenizer.batch_decode(out, skip_special_tokens=True)
+
+    translation = " ".join(translated_sentences)
+
     print(f"From {src_lang} to {tgt_lang}: {translation}")
 
     # D. HANDLE UI DIRECTION
@@ -161,7 +167,7 @@ js_logic = """
     setTimeout(adjustTextareaHeight, 1000);
 """
 
-demo.launch(css=custom_css, js=js_logic, theme=gr.themes.Ocean(), share=True)
+demo.launch(css=custom_css, js=js_logic, theme=gr.themes.Ocean())