Delete app.py

app.py

@@ -1,24 +0,0 @@
-from transformers import pipeline
-import gradio as gr
-import torch
-import numpy as np
-   
-device=torch.device("cuda" if torch.cuda.is_available() else "cpu")
-ner_pipeline=pipeline("ner",model="apak/bert-base-uncased-for-ner")
-def ner(text):
-    output=ner_pipeline(text,aggregation_strategy="simple")
-    return {"text":text, "entities": output}
-
-examples=[
-    " My name is Jessica, I work at Google",
-    " Arsenal won the FA Cup.",
-    " Rashid played for Galatasaray Istanbul."
-        ]
-demo=gr.Interface(
-ner,
-gr.Textbox(placeholder="Enter sentence here..."),
-gr.HighlightedText(),
-examples=examples
-)
-
-demo.launch(share=True)