Update app.py

app.py

@@ -8,7 +8,7 @@ base_model, base_tokenizer, net, feature_ref, sigma, sigma0_u, ep, loaded_model,
 def single_instance_detection(sentence=None):
 
 	with torch.no_grad():
-		if sentence is None:
+		if sentence is None: 
 			sentence = "Now that you've built a demo, you'll probably want to share it with others. Gradio demos can be shared in two ways: using a temporary share link or permanent hosting on Spaces."
 		sentence = sentence.strip()
 		inputs = base_tokenizer([sentence], padding='max_length', truncation=True, max_length=100,return_tensors="pt").to(DEVICE)