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README.md

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+---
+title: New Space
+emoji: 🌍
+colorFrom: gray
+colorTo: red
+sdk: gradio
+sdk_version: 5.20.0
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# This is a simple Gradio app that translates Vietnamese to English using a pre-trained model.
+import gradio as gr
+from transformers_js_py import pipeline  # Assuming transformers_js_py is a valid library for this example
+
+# Define a function that takes Vietnamese text and returns the English translation.
+def translate_vi2en(vi_text):
+    translator = pipeline("translation_vi_to_en")
+    translation = translator(vi_text)[0]['translation_text']
+    return translation
+
+# Create a Gradio interface that takes a textbox input, runs it through the translate function, and returns output to a textbox.
+demo = gr.Interface(
+    fn=translate_vi2en,
+    inputs=gr.Textbox(label="Nhập văn bản tiếng Việt"),
+    outputs=gr.Textbox(label="Dịch sang tiếng Anh"),
+    title="Việt Nam sang Anh Translator",
+    description="Nhập văn bản tiếng Việt và nhận kết quả dịch sang tiếng Anh.",
+    theme=gr.themes.Default()  # Use a default theme for a clean and modern look
+)
+
+# Launch the interface.
+if __name__ == "__main__":
+    demo.launch(show_error=True)

requirements.txt

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+transformers_js_py