Update app.py

app.py

@@ -62,7 +62,7 @@ def extract_triplets_typed(text):
         triplets.append({'head': subject.strip(), 'head_type': subject_type, 'type': relation.strip(),'tail': object_.strip(), 'tail_type': object_type})
     return triplets
 
-st.markdown("""This is a demo for the ACL 2023 paper [RED$^{\rm FM}$: a Filtered and Multilingual Relation Extraction Dataset](https://arxiv.org/abs/2306.09802). The pre-trained model is able to extract triplets for up to 400 relation types from Wikidata or be used in downstream Relation Extraction task by fine-tuning. Find the model card [here](https://huggingface.co/Babelscape/mrebel-large). Read more about it in the [paper](https://arxiv.org/abs/2306.09802) and in the original [repository](https://github.com/Babelscape/rebel#REDFM).""")
+st.markdown("""This is a demo for the ACL 2023 paper [RED$^{FM}$: a Filtered and Multilingual Relation Extraction Dataset](https://arxiv.org/abs/2306.09802). The pre-trained model is able to extract triplets for up to 400 relation types from Wikidata or be used in downstream Relation Extraction task by fine-tuning. Find the model card [here](https://huggingface.co/Babelscape/mrebel-large). Read more about it in the [paper](https://arxiv.org/abs/2306.09802) and in the original [repository](https://github.com/Babelscape/rebel#REDFM).""")
 
 model = load_model()