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app.py

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+import gradio as gr
+from gradio.mix import Parallel, Series
+
+from transformers import pipeline
+
+summarizer = pipeline("translation", model="VietAI/envit5-mtet_phomt-translation", use_auth_token=True)
+
+ 
+def translate(inp):
+    text = "en: " + inp
+    res = summarizer(
+        text,
+        max_length=512,
+        early_stopping=True,
+    )[0]['translation_text']
+    return res
+
+
+
+sample_url = [['VietAI is a non-profit organization with the mission of nurturing AI talents and building a community of world-class AI experts in Vietnam.'],]
+
+article = "<p style='text-align: center'><a href='https://vietai.org' target='_blank'>by VietAI Research</a> | <a href='https://github.com/vietai/mtet' target='_blank'>Github</a> | Contact: <a href='mailto:[email protected]' target='_blank'>Hieu Tran</a></p></center></p>"
+
+
+iface = gr.Interface(fn=translate, 
+  inputs = gr.inputs.Textbox(
+      lines = 5,
+      label = 'Enter an article...'
+  ),
+  outputs = 'text',
+  title = 'En->Vi MTet Translation',
+  theme = 'grass',
+  layout = 'horizontal',
+  article=article,
+  examples=sample_url)
+
+iface.launch()