Update app.py

app.py

@@ -8,6 +8,9 @@ tokenizer = AutoTokenizer.from_pretrained("./checkpoint-final/")
 model = AutoModelForTokenClassification.from_pretrained("./checkpoint-final/")
 model = model.eval()
 
+examples = [
+    ["GSHMSDNEDNFDGDDFDDVEEDEGLDDLENAEEEGQENVEILPSGERPQANQKRITTPYMTKYERARVLGTRALQIAMCAPVMVELEGETDPLLIAMKELKARKIPIIIRRYLPDGSYEDWGVDELIITD"]]
+
 def get_out(sent):
     encoded = tokenizer.encode_plus(sent, return_tensors="pt")
     with torch.no_grad():
@@ -23,4 +26,5 @@ gr.Interface(
         gr.components.Textbox(label="Input Amino Acid Sequence", placeholder = " Amino acid sequence here ...")
     ],
     ["text"],
+    examples=examples,
 ).launch()