Update app.py

app.py

@@ -10,23 +10,9 @@ from collections import Counter
 
 # sidebar
 with st.sidebar:
-    st.header("What is a Semantic Search Engine?")
-    st.markdown("**[Semantic Search](https://medium.com/nlplanet/semantic-search-with-few-lines-of-code-490df1d53fd6)** allows retrieving documents from a corpus using a search query in a semantic way. This means that the search engine looks not only for exact text matches, but also for **overlapping semantic meaning** (e.g. synonyms and periphrases).")
-    st.markdown("This is different from a **text-matching search engine**, which looks for exact text matches only.")
-    st.header("How does semantic search work?")
-    st.markdown("The idea behind semantic search is to [embed](https://machinelearningmastery.com/what-are-word-embeddings/) all the entries in your corpus, which can be sentences, paragraphs, or documents, into a **vector space**. At search time, the query is embedded into the same vector space and the **[closest vectors](https://en.wikipedia.org/wiki/Cosine_similarity)** from your corpus are found.")
-    st.header("Useful libraries")
-    st.markdown("""
-    - [`sentence-transformers`](https://sbert.net/): Allows to easily use great pre-trained models for semantic search and has a fast implementation for finding nearest neighbors by cosine similarity.
-    - [`faiss`](https://github.com/facebookresearch/faiss): Allows efficient similarity search and clustering of dense vectors.
-    """)
-    st.header("Useful links")
-    st.markdown("""
-    - [Semantic Search with Sentence Transformers](https://medium.com/nlplanet/semantic-search-with-few-lines-of-code-490df1d53fd6)
-    - [Sentence Transformers cheatsheet](https://medium.com/nlplanet/two-minutes-nlp-sentence-transformers-cheat-sheet-2e9865083e7a)
-    """)
-    st.header("Who made this?")
-    st.markdown("Hi, I'm Fabio Chiusano. You can contact me on [LinkedIn](https://www.linkedin.com/in/fabio-chiusano-b6a3b311b/).")
+    st.header("Examples:")
+    st.markdown("This search finds content in Medium .")
+
 
 # main content
 st.header("Semantic Search Engine on [Medium](https://medium.com/) articles")