app

app.py

@@ -1,3 +1,23 @@
+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"]
+
+demo = gr.Interface(
+  fn=predict,
+  inputs='text',
+  outputs='text',
+)
+
+demo.launch()
+
+"""
+
+
 import gradio as gr
 import random
 from smolagents import GradioUI, CodeAgent, HfApiModel
@@ -35,4 +55,6 @@ if __name__ == "__main__":
     response = alfred.run("What is Facebook and what's their most popular model?")
 
     print("🎩 Alfred's Response:")
-    print(response)
+    print(response)
+
+"""