Update app.py

app.py

@@ -23,6 +23,17 @@ st.set_page_config(
 st.sidebar.header("Home")
 st.markdown("## Earnings Call Analysis Whisperer")
 
+st.markdown(
+    """
+    This app assists finance analysts with transcribing and analysis Earnings Calls by carrying out the following tasks:
+    - Transcribing earnings calls using Open AI's Whisper.
+    - Analysing the sentiment of transcribed text using the quantized version of [FinBert-Tone](https://huggingface.co/nickmuchi/quantized-optimum-finbert-tone).
+    - Semantic search engine with [Sentence-Transformers](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) and reranking results with a Cross-Encoder.
+    
+    **👈 Navigate sequentially to the tabs on the sidebar**
+"""
+)
+
 auth_token = os.environ.get("auth_token")
 
 progress_bar = st.sidebar.progress(0)
@@ -67,7 +78,7 @@ def sentiment_pipe(earnings_text):
     
     return earnings_sentiment    
     
-
+@st.experimental_memo(suppress_st_warning=True)
 def preprocess_plain_text(text,window_size=3):
     '''Preprocess text for semantic search'''