Upload app.py with huggingface_hub

app.py

@@ -0,0 +1,20 @@
+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 = "English to Spanish Translation (forked from osanseviero/test_gradio)"
+
+iface = gr.Interface(
+  fn=predict, 
+  inputs=[gr.inputs.Textbox(label="text", lines=3)],
+  outputs='text',
+  title=title,
+  examples=[["Hello! My name is Abubakar"], ["How are you?"]]
+)
+
+iface.launch()