Update app.py

app.py

@@ -1,11 +1,20 @@
-from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+#from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+#import gradio as grad
+#import ast
+#mdl_name = "deepset/roberta-base-squad2"
+#my_pipeline = pipeline('question-answering', model=mdl_name,tokenizer=mdl_name)
+#def answer_question(question,context):
+    #text= "{"+"'question': '"+question+"','context':'"+context+"'}"
+    #di=ast.literal_eval(text)
+    #response = my_pipeline(di)
+    #return response
+#grad.Interface(answer_question, inputs=["text","text"],outputs="text").launch()
+
+from 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)
-def answer_question(question,context):
-    text= "{"+"'question': '"+question+"','context':'"+context+"'}"
-    di=ast.literal_eval(text)
-    response = my_pipeline(di)
+mdl_name = "Helsinki-NLP/opus-mt-en-de"
+opus_translator = pipeline("translation", model=mdl_name)
+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()