Update app.py

app.py

@@ -4,8 +4,8 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
 
 # Function for cross-lingual summarization
-def cross_lingual_summarization(article_text):
-    target_language = " "
+def cross_lingual_summarization(article_text, target_language):
+    
     WHITESPACE_HANDLER = lambda k: re.sub('\s+', ' ', re.sub('\n+', ' ', k.strip()))
 
     # Load the model and tokenizer
@@ -55,7 +55,7 @@ iface = gr.Interface(
     fn=cross_lingual_summarization,
     inputs=[
         gr.Textbox(label='Article Text'),
-        gr.Dropdown(['amharic', 'arabic', 'azerbaijani', 'bengali', 'burmese', 'chinese_simplified', 'chinese_traditional',
+        gr.Dropdown(choices = ['amharic', 'arabic', 'azerbaijani', 'bengali', 'burmese', 'chinese_simplified', 'chinese_traditional',
                     'english', 'french', 'gujarati', 'hausa', 'hindi', 'igbo', 'indonesian', 'japanese', 'kirundi',
                     'korean', 'kyrgyz', 'marathi', 'nepali', 'oromo', 'pashto', 'persian', 'pidgin', 'portuguese',
                     'punjabi', 'russian', 'scottish_gaelic', 'serbian_cyrillic', 'serbian_latin', 'sinhala', 'somali',