added

.woodpecker.yml

@@ -3,7 +3,11 @@ steps:
     image: nvcr.io/nvidia/tensorflow:23.10-tf2-py3
     commands:
       - echo "starting python script"
-      - zip
       - python run.py
-
+  "compress and upload":
+    image: alpine:3
+    commands:
+      - apk --no-cache add zip curl
+      - zip mymodel.zip mymodel.keras
+      - curl -F fileUpload=@mymodel.zip https://share.storage.sandbox.iuk.hdm-stuttgart.de/upload
 

run.py

@@ -71,7 +71,7 @@ with tf.device('/GPU:0'):
     model.compile(optimizer='SGD',
                   loss='categorical_crossentropy',
                   metrics=['accuracy'])
-    model.fit(X_train_scaled, y_train_categorical, epochs=10)
+    model.fit(X_train_scaled, y_train_categorical, epochs=1)
     model.save('mymodel.keras')
     
     print("finished training")