Update app.py

app.py

@@ -5,7 +5,7 @@ from sklearn.linear_model import LinearRegression
 import plotly.graph_objects as go
 
 def train_predict_wrapper(ticker, start_date, end_date, prediction_days):
-    # Download stock data
+    # Download asset data
     data = yf.download(ticker, start=start_date, end=end_date)
     data = data["Close"]
 
@@ -47,7 +47,7 @@ def train_predict_wrapper(ticker, start_date, end_date, prediction_days):
     fig.add_trace(historical_prices)
     fig.add_trace(predicted_prices_trace)
     fig.update_layout(
-        title="Stock Price Prediction",
+        title="Asset Price Prediction",
         xaxis_title="Date",
         yaxis_title="Price",
         legend_title_text="Data"