Update app.py

app.py

@@ -1,3 +1,28 @@
+from transformers import AutoTokenizer, AutoModelForQuestionAnswering, pipeline
+import torch
+import gradio as grad
+import ast
+
+_pretrainedModelName = "savasy/bert-base-turkish-squad"
+_tokenizer = AutoTokenizer.from_pretrained(_pretrainedModelName)
+_model = AutoModelForQuestionAnswering.from_pretrained(_pretrainedModelName)
+_pipeline = pipeline("question-answering", model = _model, tokenizer = _tokenizer)
+
+
+def answer_question(question, answer):
+    text = "{" + "'question': '"+question+"', 'context':'"+context+"'}"
+    di = ast.literal_eval(text)
+    response = _pipeline(di)
+    return response.get("answer")
+
+
+grad.Interface(answer_question, inputs=["text", "text"], outputs=["text"]).launch()
+
+
+
+
+
+'''
 from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
 import gradio as grad
 import ast
@@ -14,3 +39,5 @@ def answer_question(question, context):
     return response
 
 grad.Interface(answer_question, inputs=["text", "text"], outputs="text").launch()
+'''
+