Update app.py

app.py

@@ -13,7 +13,10 @@ import copy
 import string
 import h5py
 from tqdm import tqdm
-grid_info = xr.open_dataset('ClimSim_low-res_grid-info.nc')
+
+st.title('A Quickstart Notebook for ClimSim')
+
+'''grid_info = xr.open_dataset('ClimSim_low-res_grid-info.nc')
 input_mean = xr.open_dataset('input_mean.nc')
 input_max = xr.open_dataset('input_max.nc')
 input_min = xr.open_dataset('input_min.nc')
@@ -30,7 +33,7 @@ data.set_to_v1_vars()
 data.input_train = data.load_npy_file('train_input_small.npy')
 data.target_train = data.load_npy_file('train_target_small.npy')
 data.input_val = data.load_npy_file('val_input_small.npy')
-data.target_val = data.load_npy_file('val_target_small.npy')
+data.target_val = data.load_npy_file('val_target_small.npy')'''
 
 
 const_model = data.target_train.mean(axis = 0)
@@ -104,4 +107,13 @@ fig.set_size_inches(7,8)
 fig.tight_layout()
 st.pyplot(fig)
 
+# path to target input
+data.input_scoring = np.load('score_input_smallnn.npy')
+
+# path to target output
+data.target_scoring = np.load('scoring_target_small.npy')
+
+
+
+
 st.markdown('Streamlit p')