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app.py

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+import gradio as gr
+
+from transformers import pipeline
+
+pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es")
+
+def predict(text):
+  return pipe(text)[0]["translation_text"]
+
+title = "Interactive demo: Helsinki-NLP English to Spanish Translation"
+
+iface = gr.Interface(
+  fn=predict, 
+  inputs=[gr.inputs.Textbox(label="text", lines=3)],
+  outputs='text',
+  title=title,
+  examples=[["Hello! My name is Omar"], ["I like this workshop"]]
+)
+
+iface.launch()