init2

app.py

@@ -8,7 +8,6 @@ import numpy as np
 import threading
 import hmac
 
-#sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
 from processing.surface_plots import surface_plot
 from processing.preprocessing import plot_timeseries
@@ -149,7 +148,7 @@ def main():
 if __name__ == "__main__":
     main()
     
-    t1 = threading.Thread(target=auto_download)
+    t1 = threading.Thread(target=auto_download(st.secrets["seafile_token"]))
     t1.start()
 
 

processing/cloud_access.py

@@ -4,7 +4,6 @@ import urllib.request
 
 
 
-
 def seafile_list_files(folder_path, library_id, seafile_token):
 
     list_url = f"https://seafile.projekt.uni-hannover.de/api2/repos/{library_id}/dir/?p={folder_path}"
@@ -31,9 +30,8 @@ def seafile_download_file(seafile_token, library_id, folder_path, file, target_f
             urllib.request.urlretrieve(download_link, f"{target_folder}/{file_name}")
             print(f"File downloaded successfully to {target_folder}/{file_name}")
 
-def auto_download():
+def auto_download(seafile_token):
     
-    seafile_token = "4cc2946501b19d995fed6a663989cd3d808d6660"
     library_id = "a6911db9-9ec6-42d3-9c2f-ce36b121c5e7"
     folder_path = "Messungen"
     target_folder = "Messungen"

processing/model_d2_v0.6.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f35b7eedb4f7e7a87010dd5e796ff88c589045ce6e1582bbe1de427b99e2336d
+size 139143916

processing/prediction_model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e50218a972bb12b3b3dc1c1f17a231aad7e27d47f0c28d475a492cea9ab84a5
+size 107168579