Update app.py

app.py

@@ -8,6 +8,7 @@ import requests
 from streamlit_lottie import st_lottie
 from keras.models import load_model
 from sklearn.preprocessing import MinMaxScaler
+from tensorflow.python import tf2
 
 st.set_page_config(
     page_title=" Stocks Market Predictor", #The page title, shown in the browser tab.(should be Placement Details)
@@ -27,6 +28,13 @@ def load_lottieurl(url: str):
 from datetime import date
 from datetime import timedelta
 today = date.today()
+import datetime
+now = datetime.datetime.now()
+weekend=today.strftime("%A")
+if(weekend=="Saturday"):
+    today=today-timedelta(days=1)
+if(weekend=="Sunday"):
+    today=today-timedelta(days=2)
 # Yesterday date
 yesterday = today - timedelta(days = 1)
 start='2010-01-01'
@@ -46,39 +54,90 @@ st.markdown("##")
 with st.sidebar:
     st.title("World Market")
     st.title("NIFTY")
-    #nif = data.DataReader('^NSEI','yahoo',current)['Close']
-    #st.header(nif.iloc[0].round(2))
+    nifval=True
+    try:
+        nif = data.DataReader('^NSEI','yahoo',current)['Close']
+    except:
+        nifval=False
+    if nifval==True:
+        st.header(nif.iloc[0].round(2))
+    else: 
+        st.write("Can't load right now")
     st.markdown("""---""")
     
     st.title("SENSEX")
-    sen = data.DataReader('^BSESN','yahoo',current)['Close']
-    st.header(sen.iloc[0].round(2))
+    senval=True
+    try:
+        sen = data.DataReader('^BSESN','yahoo',current)['Close']
+    except:
+        senval=False
+    if senval==True:
+        st.header(sen.iloc[0].round(2))
+    else: 
+        st.write("Can't load right now")
+   
     st.markdown("""---""")
     
     st.title("S&P FUTURES")
-    sp = data.DataReader('ES=F','yahoo',current)['Close']
-    st.header(sp.iloc[0].round(2))
+    spval=True
+    try:
+        sp = data.DataReader('ES=F','yahoo',current)['Close']
+    except:
+        spval=False
+    if spval==True:
+        st.header(sp.iloc[0].round(2))
+    else: 
+        st.write("Can't load right now")
     st.markdown("""---""")
     
     st.title("GOLD")
-    gold = data.DataReader('GC=F','yahoo',current)['Close']
-    st.header(gold.iloc[0].round(2))
+    goldval=True
+    try:
+        gold = data.DataReader('GC=F','yahoo',current)['Close']
+    except:
+        goldval=False
+    if goldval==True:
+        st.header(gold.iloc[0].round(2))
+    else: 
+        st.write("Can't load right now")
     st.markdown("""---""")
     
     st.title("DOW")
-    dow = data.DataReader('YM=F','yahoo',current)['Close']
-    st.header(dow.iloc[0].round(2))
-    st.markdown("""---""")
+    dowval=True
+    try:
+        dow = data.DataReader('YM=F','yahoo',current)['Close']
+    except:
+        dowval=False
+    if dowval==True:
+        st.header(dow.iloc[0].round(2))
+    else: 
+        st.write("Can't load right now")
     
+    st.markdown("""---""")
     st.title("NASDAQ")
-    nas = data.DataReader('NQ=F','yahoo',current)['Close']
-    st.header(nas.iloc[0].round(2))
+    nasval=True
+    try:
+        nas = data.DataReader('NQ=F','yahoo',current)['Close']
+    except:
+        nasval=False
+    if nasval==True:
+        st.header(nas.iloc[0].round(2))
+    else: 
+        st.write("Can't load right now")
     st.markdown("""---""")
     
     st.title("CRUDE OIL")
-    gold = data.DataReader('CL=F','yahoo',current)['Close']
-    st.header(gold.iloc[0].round(2))
+    oilval=True
+    try:
+        oil = data.DataReader('CL=F','yahoo',current)['Close']
+    except:
+        oilval=False
+    if oilval==True:
+        st.header(oil.iloc[0].round(2))
+    else: 
+        st.write("Can't load right now")
     st.markdown("""---""")
+    
 
    
 
@@ -230,10 +289,9 @@ if val==True:
     plt.ylabel("Price")
     plt.title("Stocks for the company "+str(user_input))
     plt.legend()
-    
     st.pyplot(fig)
 
     
     
 
-st.markdown("<br><hr><center>Made with ❤️ by <a href='https://www.linkedin.com/in/harsh-kashyap/'><strong>Harsh Kashyap</strong></a></center><hr>", unsafe_allow_html=True)
+st.markdown("<br><hr><center>Made with ❤️ by <a href='https://www.linkedin.com/in/harsh-kashyap/'><strong>Harsh Kashyap</strong></a></center><hr>", unsafe_allow_html=True)