Update app.py

app.py

@@ -1,4 +1,15 @@
 import streamlit as st
+import transformers
+from transformers import  pipeline, TokenClassificationPipeline, BertForTokenClassification , AutoTokenizer
+
+#model.to("cpu")
+tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-large-cased-v1.1", truncation = True, padding=True, model_max_length=512,)
+model_checkpoint = BertForTokenClassification.from_pretrained("dexay/Ner2HgF", )
+token_classifier = pipeline("token-classification", tokenizer = tokenizer,model=model_checkpoint,  )
+
+x = st.text('enter text')
+
+if text:
+  out = token_classifier(x)
+  st.json(out)
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)