nltk punkt downloaded

app.py

@@ -2,9 +2,13 @@ import gradio as gr
 from transformers import MarianMTModel, MarianTokenizer
 import torch
 import nltk
+import os
 
 # Download punkt for sentence tokenization
-nltk.download('punkt')
+nltk_data_path = "/tmp/nltk_data"  # Use "./nltk_data" if you want persistence
+os.makedirs(nltk_data_path, exist_ok=True)
+nltk.download('punkt', download_dir=nltk_data_path)
+nltk.data.path.append(nltk_data_path)
 
 from nltk.tokenize import sent_tokenize
 
@@ -59,7 +63,20 @@ def translate_text(model_name, text):
 model_options = [
     ("English to Turkish", "Helsinki-NLP/opus-mt-tc-big-en-tr"),
     ("Turkish to English", "Helsinki-NLP/opus-mt-tc-big-tr-en"),
-    # Add other models here...
+    ("English to French", "Helsinki-NLP/opus-mt-tc-big-en-fr"),
+    ("French to English", "Helsinki-NLP/opus-mt-tc-big-fr-en"),
+    ("English to German", "Helsinki-NLP/opus-mt-en-de"),
+    ("German to English", "Helsinki-NLP/opus-mt-de-en"),
+    ("English to Spanish", "Helsinki-NLP/opus-mt-tc-big-en-es"),
+    ("Spanish to English", "Helsinki-NLP/opus-mt-es-en"),
+    ("English to Arabic", "Helsinki-NLP/opus-mt-tc-big-en-ar"),
+    ("Arabic to English", "Helsinki-NLP/opus-mt-tc-big-ar-en"),
+    ("English to Urdu", "Helsinki-NLP/opus-mt-en-ur"),
+    ("Urdu to English", "Helsinki-NLP/opus-mt-ur-en"),
+    ("English to Hindi", "Helsinki-NLP/opus-mt-en-hi"),
+    ("Hindi to English", "Helsinki-NLP/opus-mt-hi-en"),
+    ("English to Chinese", "Helsinki-NLP/opus-mt-en-zh"),
+    ("Chinese to English", "Helsinki-NLP/opus-mt-zh-en")
 ]
 
 # Create Gradio interface