Update app.py

app.py

@@ -6,6 +6,7 @@ import yfinance as yf
 yf.pdr_override()
 from pandas_datareader import data as pdr
 from sklearn.preprocessing import MinMaxScaler
+from keras.models import load_model
 
 start = '2005-01-01'
 end = '2022-12-31'
@@ -82,10 +83,11 @@ scale_factor = 1/sc[0]
 y_predicted = y_predicted * scale_factor
 y_test = y_test * scale_factor
 
-plt.figure(figsize=(12,6))
+st.subheader("Closing Price VS Time Chart With 100Moving Average:")
+fig2 = plt.figure(figsize=(12,6))
 plt.plot(y_test, 'blue', label="Original Stock Price")
 plt.plot(y_predicted, 'red', label="Predicted Stock Price")
 plt.xlabel('Time')
 plt.ylabel('Price')
 plt.legend()
-plt.show()
+st.pyplot(fig2)