Update app.py

app.py

@@ -37,8 +37,16 @@ def main():
         return response.json()
 
 
-    st.title("Vector-based searches with Sentence Transformers and Faiss")
-
+    st.title("Vector-based of the r/ELI5 dataset with Sentence Transformers and Faiss")
+
+    st.markdown("""This application lets you perform a semantic search through questions in the r/ELI5 <a href="https://huggingface.co/datasets/eli5">dataset</a>.
+                    The questions and user input are encoded into a high-dimensional vectors space using a Sentence-Transformer model, and in particular the checkpoint <a href="https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2">sentence-transformers/all-MiniLM-L6-v2</a>.
+                    To perform the search we use FAISS, which performs an efficient similarity search through the (vectorized) questions.
+                    The ELI5 dataset contains posts from three subreddits, AskScience (asks), AskHistorians (askh), and ExplainLikeImFive (eli5).
+                    The score corresponds to the rating each answer recieved when posted on Reddit.
+                    We unfortunately cannot verify the veracity of any of the answers posted!
+                    """)
+    
     # User search
     user_input = st.text_area("Search box", "What is spacetime made out of?")