Update app.py

app.py

@@ -1,4 +1,3 @@
-
 #%%
 from matplotlib.pyplot import title
 import tensorflow as tf
@@ -59,7 +58,7 @@ if ("0" != ""):
 			break
 	adf = pd.read_csv(StringIO(csvString), sep=",")
 	df = adf
-#	df.columns = df.columns.to_series().apply(lambda x: x.strip())
+	df.columns = df.columns.to_series().apply(lambda x: x.strip())
 #	df = adf.reindex(columns=mytitles)
 #	df = adf.reset_index()
 #	df = adf.reindex(pd.RangeIndex(0, mybacklogmax).to_series())
@@ -181,7 +180,10 @@ start = past + future
 end = start + train_split
 
 #train_data = train_data.reset_index()
-train_data = train_data.reindex(pd.RangeIndex(0, mybacklogmax).to_series())
+#train_data = train_data.reindex(pd.RangeIndex(0, mybacklogmax).to_series())
+acolumns = train_data.columns
+train_data = train_data.reindex(columns=acolumns)
+train_data[acolumns] = train_data[acolumns].astype(int)
 
 x_train = train_data[[i for i in range(mybacklogmax)]].values
 y_train = features.iloc[start:end][[1]]