Update app.py

app.py

@@ -103,14 +103,14 @@ def extract_and_reduce_features(data, n_components=3):
 
 # Streamlit app
 st.set_page_config(page_title="Pattern Recognition", layout="wide")
-st.title('Pattern Recognition in Stock Prices')
+st.title('Pattern Recognition in Asset Prices')
 
 # Sidebar for method selection
 st.sidebar.title("Input Parameters")
 st.sidebar.subheader("How to Use")
 st.sidebar.markdown("""
 1. Select the pattern recognition method you want to use.
-2. Set the stock ticker, date range, and other parameters.
+2. Set the stock ticker or crypto pair, date range, and other parameters.
 3. Click 'Run' to perform the analysis.
 """)
 
@@ -121,7 +121,7 @@ with st.sidebar.expander("Pattern Recognition Methods", expanded=True):
                         help="Select the pattern recognition method you want to use.")
 
 with st.sidebar.expander("Input Parameters", expanded=True):
-    ticker = st.text_input('Enter Stock Ticker', 'ASML.AS', help="Input the stock ticker (e.g., AAPL, TSLA).")
+    ticker = st.text_input('Enter Stock Ticker or Crypto Pair', 'ASML.AS', help="Input the stock ticker (e.g., AAPL, TSLA) or Crypto Pair(e.g., BTC-USD).")
     start_date = st.date_input('Start Date', pd.to_datetime('2000-01-01'), help="Select the start date for the analysis.")
     end_date = st.date_input('End Date', datetime.now() + timedelta(days=1), help="Select the end date for the analysis.")
     subsequent_days = st.slider('Subsequent Days to Forecast', min_value=5, max_value=60, value=20, step=5, help="Number of days to forecast after identifying similar patterns.")