Update app.py

app.py

@@ -228,9 +228,9 @@ gr.Interface(
     allow_flagging="never",
     title="End-to-End Retrieval & Ranking with Hugging Face Inference Endpoints and Spaces",
     description="""## A [haystack](https://haystack.deepset.ai/) pipeline with the following components
+- <strong>Document Store</strong>: A [FAISS document store](https://github.com/facebookresearch/faiss/tree/main) containing the [`seven-wonders` dataset](https://huggingface.co/datasets/bilgeyucel/seven-wonders), created on this Space's [persistent storage](https://huggingface.co/docs/hub/en/spaces-storage).
 - <strong>Retriever</strong>: [Quantized FastRAG Retriever](https://huggingface.co/optimum-intel/fastrag-retriever) deployed on [Inference Endpoints](https://huggingface.co/docs/inference-endpoints/index) + Intel Sapphire Rapids CPU.
 - <strong>Ranker</strong>: [Quantized FastRAG Retriever](https://huggingface.co/optimum-intel/fastrag-ranker) deployed on [Inference Endpoints](https://huggingface.co/docs/inference-endpoints/index) + Intel Sapphire Rapids CPU.
-- <strong>Document Store</strong>: A [FAISS document store](https://github.com/facebookresearch/faiss/tree/main) containing the [`seven-wonders` dataset](https://huggingface.co/datasets/bilgeyucel/seven-wonders), created on this Space's [persistent storage](https://huggingface.co/docs/hub/en/spaces-storage).
 
 This Space is based on the optimizations demonstrated in the blog [CPU Optimized Embeddings with 🤗 Optimum Intel and fastRAG](https://huggingface.co/blog/intel-fast-embedding)
 """,