Fix path

app.py

@@ -34,10 +34,10 @@ CLOOME_PATH = "/home/ana/gitrepos/hti-cloob"
 MODEL_PATH = os.path.join(datapath, "epoch_55.pt")
 npzs = os.path.join(datapath, "npzs")
 molecule_features = os.path.join(datapath, "all_molecule_cellpainting_features.pkl")
-mol_index = os.path.join(datapath, "cellpainting-unique-molecule.csv")
+mol_index_file = os.path.join(datapath, "cellpainting-unique-molecule.csv")
 image_features = os.path.join(datapath, "subset_image_cellpainting_features.pkl")
 images_arr = os.path.join(datapath, "subset_npzs_dict_.npz")
-img_index = os.path.join(datapath, "cellpainting-all-imgpermol.csv")
+img_index_file = os.path.join(datapath, "cellpainting-all-imgpermol.csv")
 imgname = "I1"
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -376,7 +376,7 @@ def molecules_from_image():
             mol_features, mol_ids = main(mol_index, MODEL_PATH, model_type, mol_path=molpath, image_resolution=image_resolution)
             predefined_features = False
         else:
-            mol_index = pd.read_csv(mol_index)
+            mol_index = pd.read_csv(mol_index_file)
             mol_features_torch = torch.load(molecule_features, map_location=device)
             mol_features = mol_features_torch["mol_features"]
             mol_ids = mol_features_torch["mol_ids"]
@@ -458,7 +458,7 @@ def images_from_molecule():
         top_probs = torch.flatten(top_probs)
         top_labels = torch.flatten(top_labels)
 
-        img_index = pd.read_csv(img_index)
+        img_index = pd.read_csv(img_index_files)
         img_index.set_index(["SAMPLE_KEY"], inplace=True)
         top_ids = [img_ids[i] for i in top_labels]