Add MADLAD model

app.py

@@ -173,14 +173,14 @@ def translate_text(
     #translated_text_Helsinki = translate_with_Helsinki(
     #    chunks, src_lang, tgt_lang, input_max_length, output_max_length)
     translated_text_m2m100 = translate_with_m2m100(chunks, src_lang, tgt_lang)
-    #translated_text_MADLAD = translate_with_MADLAD(chunks, tgt_lang)
+    translated_text_MADLAD = translate_with_MADLAD(chunks, tgt_lang)
     translated_text_google_translate = GoogleTranslator(
         source='auto', target='en').translate(text=text)
 
     return (
         #translated_text_Helsinki,
         translated_text_m2m100,
-        #translated_text_MADLAD,
+        translated_text_MADLAD,
         translated_text_google_translate
     )
 
@@ -206,14 +206,14 @@ with gr.Blocks() as demo:
     #)
     output_text_m2m100 = gr.Textbox(
         lines=6,
-        label="Facebook m2m100 translation model (**small**)",
+        label="Facebook m2m100 translation model (1.2B)",
+        render=False
+    )
+    output_text_MADLAD = gr.Textbox(
+        lines=6,
+        label="Google MADLAD translation model (3B)",
         render=False
     )
-    #output_text_MADLAD = gr.Textbox(
-    #    lines=6,
-    #    label="Google MADLAD translation model (**small**)",
-    #    render=False
-    #)
     output_text_google_translate = gr.Textbox(
         lines=6,
         label="Google Translate",
@@ -243,23 +243,23 @@ with gr.Blocks() as demo:
     
     gr.Interface(
         fn=translate_text,
-        inputs=[input_text, src_lang,],
+        inputs=[input_text, src_lang],
         outputs=[
             #output_text_Helsinki,
             output_text_m2m100,
-            #output_text_MADLAD,
+            output_text_MADLAD,
             output_text_google_translate,
         ],
         additional_inputs=[sentences_per_chunk,],
         #clear_btn=None,  # Unfortunately, clear_btn also reset the additional inputs. Hence disabling for now.
         allow_flagging="never",
         examples=examples,
-        cache_examples=True
+        cache_examples=False
     )
 
     with gr.Accordion("Documentation", open=False):
         gr.Markdown("""
-            - Models: serving Helsinki NLP, Facebook M2M100 and Google MADLAD models.
+            - Models: serving Facebook M2M100 and Google MADLAD models.
             - Basic: processing of long paragraph / document to be enhanced.
             - Most examples are copy/pasted from BBC news international web sites.
         """)