Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from transformers import pipeline
+
+
+pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-ber")
+
+def predict(text):
+  return pipe(text)[0]["translation_text"]
+
+demo = gr.Interface(
+  fn=predict,
+  inputs='text',
+  outputs='text',
+)
+
+demo.launch()