add demo

README.md

@@ -31,9 +31,8 @@ nfqa_model = RobertaNFQAClassification.from_pretrained("Lurunchik/nf-cats")
 nfqa_tokenizer = AutoTokenizer.from_pretrained("deepset/roberta-base-squad2")
 ```
 
-##### Make prediction using helper function
+##### Make prediction using helper function:
 ```python
-
 def get_nfqa_category_prediction(text):
     output = nfqa_model(**nfqa_tokenizer(text, return_tensors="pt"))
     index = output.logits.argmax()
@@ -44,6 +43,12 @@ get_nfqa_category_prediction('how to assign category?')
 #'INSTRUCTION'
 ```
 
+## Demo 
+You can test the model via [hugginface space](https://huggingface.co/spaces/Lurunchik/nf-cats).
+
+[![demo.png](demo.png)](https://huggingface.co/spaces/Lurunchik/nf-cats)
+
+
 ## Citation
 
 If you use `NFQA-cats` in your work, please cite [this paper](https://dl.acm.org/doi/10.1145/3477495.3531926)