Create app.py

app.py

@@ -0,0 +1,17 @@
+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 Translator"
+
+iface = gr.Interface(    
+    fn=predict,    
+    inputs=gr.Textbox(lines = 3, placeholder = "text"),    
+    outputs='text',    t
+    itle=title,    
+    examples = [["Hello! My name is Alex"], ["I like this class"]]    )
+iface.launch(debug = True)