Update app.py

app.py

@@ -13,7 +13,7 @@ import time
 token = os.environ["HF_TOKEN"]
 ST = SentenceTransformer("mixedbread-ai/mxbai-embed-large-v1")
 
-dataset = load_dataset("not-lain/wikipedia",revision = "embedded")
+dataset = load_dataset("AI-4-Health/embedded-dataset")
 
 data = dataset["train"]
 data = data.add_faiss_index("embeddings") # column name that has the embeddings of the dataset
@@ -108,14 +108,7 @@ def talk(prompt,history):
 TITLE = "# RAG"
 
 DESCRIPTION = """
-A rag pipeline with a chatbot feature
-
-Resources used to build this project :
-
-* embedding model : https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1
-* dataset : https://huggingface.co/datasets/not-lain/wikipedia
-* faiss docs : https://huggingface.co/docs/datasets/v2.18.0/en/package_reference/main_classes#datasets.Dataset.add_faiss_index 
-* chatbot : https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
+HPP Chatbot
 """