Update app.py

app.py

@@ -1,13 +1,10 @@
-from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+rom transformers import pipeline
 import gradio as grad
-import ast
-mdl_name = "deepset/roberta-base-squad2"
-my_pipeline = pipeline('question-answering', model=mdl_name, tokenizer=mdl_name)
+mdl_name = "Helsinki-NLP/opus-mt-en-de"
+opus_translator = pipeline("translation", model=mdl_name)
 
-def answer_question(question,context):
-    text= "{"+"'question': '"+question+"','context': '"+context+"'}"
-
-    di=ast.literal_eval(text)
-    response = my_pipeline(di)
+def translate(text):
+    
+    response = opus_translator(text)
     return response
-grad.Interface(answer_question, inputs=["text","text"], outputs="text").launch()
+grad.Interface(translate, inputs=["text",], outputs="text").launch()