add mbart for translation

app.py

@@ -25,10 +25,16 @@ import argparse
 
 import langid
 from transformers import pipeline, AutoModelForSeq2SeqLM, AutoTokenizer
+from easynmt import EasyNMT
 
+# Initialize nllb-200 models
 tokenizer = AutoTokenizer.from_pretrained("facebook/nllb-200-distilled-600M")
 model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M")
 
+# Initialize mbart50 models
+mbart_m2en_model = EasyNMT("mbart50_m2en")
+mbart_en2m_model = EasyNMT("mbart50_en2m")
+
 
 class myTheme(Base):
     def __init__(
@@ -155,11 +161,23 @@ def nllb_trans(article, target_language):
     return translated
 
 
+def mbart_trans(article, target_language):
+    result_lang = detect_lang(article)
+
+    if result_lang != target_language:
+        if target_language == "English":
+            return mbart_m2en_model.translate(article)
+        else:
+            return mbart_en2m_model.translate(article, target_lang="zh")
+
+
 def translate(article, toolkit, target_language):
     if toolkit == "OPUS":
         translated = opus_trans(article, target_language)
     elif toolkit == "NLLB":
         translated = nllb_trans(article, target_language)
+    elif toolkit == "MBART":
+        translated = mbart_trans(article, target_language)
 
     return translated
 
@@ -169,7 +187,7 @@ myTheme = myTheme()
 with gr.Blocks(theme=myTheme) as demo:
     article = gr.Textbox(label="Article")
     toolkit_select = gr.Radio(
-        ["OPUS", "NLLB"], label="Select Translation Model", value="OPUS"
+        ["OPUS", "NLLB", "MBART"], label="Select Translation Model", value="OPUS"
     )
     lang_select = gr.Radio(["English", "Chinese"], label="Select Desired Language")
     result = gr.Textbox(label="Translated Result")