Update app.py

app.py

@@ -10,7 +10,6 @@ import streamlit as st
 from zipfile import ZipFile
 import os
 import datetime
-import numpy as np
 
 import warnings
 warnings.filterwarnings("ignore")
@@ -20,14 +19,14 @@ mylist = [0, 1, 5, 7, 8, 10, 11]
 mylist = [2]
 df = pd.DataFrame(columns=["Date Time","p (mbar)","T (degC)","Tpot (K)","Tdew (degC)","rh (%)","VPmax (mbar)","VPact (mbar)","VPdef (mbar)","sh (g/kg)","H2OC (mmol/mol)","rho (g/m**3)","wv (m/s)","max. wv (m/s)","wd (deg)"])
 
-if ("0" != ""):
+if ("0" == ""):
 	uri = "https://storage.googleapis.com/tensorflow/tf-keras-datasets/jena_climate_2009_2016.csv.zip"
 	zip_path = keras.utils.get_file(origin=uri, fname="jena_climate_2009_2016.csv.zip")
 	zip_file = ZipFile(zip_path)
 	zip_file.extractall()
 	csv_path = "jena_climate_2009_2016.csv"
 	df = pd.read_csv(csv_path)
-    st.dataframe(df)
+	st.dataframe(df)
 
 if ("0" != ""):
 	backlogmax = 4
@@ -52,10 +51,7 @@ if ("0" != ""):
 			adf = adf.append({"Date Time":adate,"T (degC)":(row[4]),}, ignore_index=True)
 			break
 	df = adf
-    st.dataframe(df)
-
-exit()
-
+	st.dataframe(df)
 
 #%%
 
@@ -229,4 +225,4 @@ def plot():
 fig = plot()
 st.pyplot(fig)
 
-# %%
+# %%