updt

app.py

@@ -21,9 +21,10 @@ nllb_tokenizer = AutoTokenizer.from_pretrained(nllb_model_name)
 
 def get_chinese_translation(text):  #in_language_first, in_language_second, 
   print("********Inside get_chinese_translation ********")
-  print(f"text is :{text}, source language is : {in_language_first}, target language is : {in_language_second} ") 
   src = 'eng_Latn' 
   tgt= 'zho_Hans'
+  print(f"text is :{text}, source language is : {in_language_first}, target language is : {in_language_second} ") 
+
   translator = pipeline('translation', model=nllb_model, tokenizer=nllb_tokenizer, src_lang=src, tgt_lang=tgt)
   output = translator(text, max_length=400)
   print(f"initial output is:{output}")