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app.py

@@ -17,7 +17,7 @@ st.markdown('''
 
 Hi! This is the demo for the [flax sentence embeddings](https://huggingface.co/flax-sentence-embeddings) created for the **Flax/JAX community week 🤗**. 
 We trained three general-purpose flax-sentence-embeddings models: a distilroberta base, a mpnet base and a minilm-l6. They were 
-trained using Siamese network configuration with custom Contrastive Loss inspired by OpenAI CLIP. The models were trained on a dataset comprising of 
+trained using Siamese network configuration with custom **Contrastive Loss** inspired by OpenAI CLIP. The models were trained on a dataset comprising of 
 [1 Billion+ training corpus](https://huggingface.co/flax-sentence-embeddings/all_datasets_v4_MiniLM-L6#training-data) with the v3 setup.
 
 In addition, we trained [20 models](https://huggingface.co/flax-sentence-embeddings) focused on general-purpose, QuestionAnswering and Code search and **achieved SOTA on multiple benchmarks.**