Update app.py

app.py

@@ -1,7 +1,12 @@
 import gradio as gr
 from transformers import pipeline
 
-pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es")
+gr.Interface.load("models/deepset/roberta-base-squad2-distilled").launch()
+
+'''
+modes_name = "deepset/roberta-base-squad2"
+
+pipe = pipeline("question-answering", model=model_name, tokenizer=model_name)
 
 def predict(text):
   return pipe(text)[0]["translation_text"]
@@ -13,5 +18,5 @@ iface = gr.Interface(
   examples=[["Hello! My name is Omar"]]
 )
 
-iface.launch()
+iface.launch()'''