Update app.py

app.py

@@ -15,12 +15,12 @@ import h5py
 from tqdm import tqdm
 
 
-st.title('A _Quickstart Notebook_ for :blue[ClimSim]:' )
+st.title('A _Quickstart Notebook_ for :blue[ClimSim]:' ),st.link_button("ClimSim", "https://huggingface.co/datasets/LEAP/subsampled_low_res/tree/main")
 st.header('**Step 1:**  Import data_utils')
 st.code('''from data_utils import *''',language='python')
 st.header('**Step 2:**  Instantiate class')
 st.header('**Step 3:**  Load training and validation data')
-st.link_button("Go to Original Dataset", "https://huggingface.co/datasets/LEAP/subsampled_low_res/tree/main")
+
 st.header('**Step 4:**  Train models')
 st.subheader('Train constant prediction model')
 st.sidebar.link_button("Go to Original Dataset", "https://huggingface.co/datasets/LEAP/subsampled_low_res/tree/main")
@@ -42,7 +42,7 @@ data = data_utils(grid_info = grid_info,
 
 data.set_to_v1_vars()
 
-data.input_train = data.load_npy_file('https://huggingface.co/datasets/puqi/test/blob/main/train_input_small.npy')
+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')