Update app.py

app.py

@@ -4,12 +4,15 @@ import numpy as np
 from sklearn.linear_model import LinearRegression
 import matplotlib.pyplot as plt
 
+# Remove the Streamlit default layout
+st.set_page_config(layout="wide")
+
 # Load the stock data from the CSV files
 data1 = pd.read_csv('Google_test_data.csv')
 data2 = pd.read_csv('tesla.csv')
 
 # Combine the datasets into a dictionary
-datasets = {'Google': data1, 'Tesla': data2}
+datasets = {'Google': data1, 'Apple': data2}
 
 # Get the user's dataset selection
 selected_dataset = st.selectbox('Select Dataset', list(datasets.keys()))
@@ -52,8 +55,5 @@ axes[2].set_xlabel('Date')
 axes[2].set_ylabel('Percentage Change')
 axes[2].set_title(f'{selected_dataset} Daily Percentage Change in Stock Prices')
 
-# Remove the Streamlit default layout
-st.set_page_config(layout="wide")
-
 # Display the graphs in Streamlit
 st.pyplot(fig)