add example data

app.py

@@ -8,6 +8,9 @@ import matplotlib
 import matplotlib.pyplot as plt
 from pathlib import Path
 from tensorflow.keras.models import model_from_json
+from huggingface_hub import hf_hub_download
+
+input_file = hf_hub_download(repo_id="dylanplummer/hicorr", filename="arima_beta.chr22", repo_type="dataset", token=os.environ['DATASET_SECRET'])
 
 data_dir = 'data/'
 sparse_data_dir = 'data/sparse_data/'
@@ -199,11 +202,10 @@ tile_size = 128
 
 # Load the input matrix
 # input_file = '../anchor_2_anchor.loop.chr22'
-# chr_name = get_chromosome_from_filename('../anchor_2_anchor.loop.chr22')
-# input_matrix = load_chr_ratio_matrix_from_sparse(os.path.dirname(input_file), os.path.basename(input_file),
-#                                                     os.path.dirname(anchor_file), force_symmetry=True)
-input_file = None
-input_matrix = None
+input_matrix = load_chr_ratio_matrix_from_sparse(os.path.dirname(input_file), os.path.basename(input_file),
+                                                    os.path.dirname(anchor_file), force_symmetry=True)
+# input_file = None
+# input_matrix = None
 
 # Load the anchor list
 anchor_list = pd.read_csv(anchor_file, sep='\t', names=['chr', 'start', 'end', 'anchor'])