Implemented metadata tagging

1 files changed, 20 insertions, 17 deletions

diff --git a/gui.py b/gui.py
index 7bd30ad..8f2ad4c 100644
--- a/gui.py
+++ b/gui.py
@@ -13,6 +13,7 @@ class GuiMain(object):
         self.__args = args
         self.__base = StringVar(self.__master, value=args["base"])
         self.__file_dir = StringVar(self.__master, value=args["file_dir"])
+        self.__tag_metadata = BooleanVar(self.__master, value=args["tag_metadata"])
         self.__predict_images = BooleanVar(self.__master, value=args["predict_images"])
         self.__predict_images_backend = StringVar(self.__master, value=str(args["predict_images_backend"]))
         self.__predict_images_top = StringVar(self.__master, value=str(args["predict_images_top"]))
@@ -33,29 +34,31 @@ class GuiMain(object):
         Label(self.__master, text="File directory for walking:").grid(row=1, column=0)
         Entry(self.__master, textvariable=self.__file_dir).grid(row=1, column=1, columnspan=2)
         Button(self.__master, text="Browse", command=lambda: self.__browse(self.__file_dir)).grid(row=1, column=3)
-        Checkbutton(self.__master, text="Use prediction for image tagging", variable=self.__predict_images).grid(row=2, column=0, columnspan=4, sticky=W)
-        Label(self.__master, text="Image prediction backend:").grid(row=3, column=0)
-        ttk.Combobox(self.__master, textvariable=self.__predict_images_backend, values=("torch", "tensorflow", "keras"), state="readonly").grid(row=3, column=1)
-        Label(self.__master, text="Number of top results:").grid(row=4, column=0)
-        Entry(self.__master, textvariable=self.__predict_images_top, validate='all', validatecommand=(validate_number, '%P')).grid(row=4, column=1, columnspan=1)
-        Checkbutton(self.__master, text="Skip detail scan in image prediction", variable=self.__predict_images_skip_detail).grid(row=5, column=0, columnspan=4, sticky=W)
-        Label(self.__master, text="Width factor for detail scan:").grid(row=6, column=0)
-        Entry(self.__master, textvariable=self.__predict_images_detail_factor, validate='all', validatecommand=(validate_number, '%P')).grid(row=6, column=1, columnspan=1)
-        Checkbutton(self.__master, text="Show GUI for tagging", variable=self.__gui_tag).grid(row=7, column=0, columnspan=4, sticky=W)
-        Label(self.__master, text="Image GUI preview size:").grid(row=8, column=0)
-        Entry(self.__master, textvariable=self.__gui_image_length, validate='all', validatecommand=(validate_number, '%P')).grid(row=8, column=1, columnspan=1)
-        Checkbutton(self.__master, text="Open all files with system default", variable=self.__open_system).grid(row=9, column=0, columnspan=4, sticky=W)
-        Checkbutton(self.__master, text="Skip prompt for file tags", variable=self.__skip_prompt).grid(row=10, column=0, columnspan=4, sticky=W)
-        Checkbutton(self.__master, text="Skip already tagged files", variable=self.__skip_tagged).grid(row=11, column=0, columnspan=4, sticky=W)
-        Label(self.__master, text="Start at index:").grid(row=12, column=0)
-        Entry(self.__master, textvariable=self.__index, validate='all', validatecommand=(validate_number, '%P')).grid(row=12, column=1, columnspan=1)
-        Button(self.__master, text="Start", command=self.__master.destroy).grid(row=13, column=0, columnspan=4)
+        Checkbutton(self.__master, text="Use metadata as default tags", variable=self.__tag_metadata).grid(row=2, column=0, columnspan=4, sticky=W)
+        Checkbutton(self.__master, text="Use prediction for image tagging", variable=self.__predict_images).grid(row=3, column=0, columnspan=4, sticky=W)
+        Label(self.__master, text="Image prediction backend:").grid(row=4, column=0)
+        ttk.Combobox(self.__master, textvariable=self.__predict_images_backend, values=("torch", "tensorflow", "keras"), state="readonly").grid(row=4, column=1)
+        Label(self.__master, text="Number of top results:").grid(row=5, column=0)
+        Entry(self.__master, textvariable=self.__predict_images_top, validate='all', validatecommand=(validate_number, '%P')).grid(row=5, column=1, columnspan=1)
+        Checkbutton(self.__master, text="Skip detail scan in image prediction", variable=self.__predict_images_skip_detail).grid(row=6, column=0, columnspan=4, sticky=W)
+        Label(self.__master, text="Width factor for detail scan:").grid(row=7, column=0)
+        Entry(self.__master, textvariable=self.__predict_images_detail_factor, validate='all', validatecommand=(validate_number, '%P')).grid(row=7, column=1, columnspan=1)
+        Checkbutton(self.__master, text="Show GUI for tagging", variable=self.__gui_tag).grid(row=8, column=0, columnspan=4, sticky=W)
+        Label(self.__master, text="Image GUI preview size:").grid(row=9, column=0)
+        Entry(self.__master, textvariable=self.__gui_image_length, validate='all', validatecommand=(validate_number, '%P')).grid(row=9, column=1, columnspan=1)
+        Checkbutton(self.__master, text="Open all files with system default", variable=self.__open_system).grid(row=10, column=0, columnspan=4, sticky=W)
+        Checkbutton(self.__master, text="Skip prompt for file tags", variable=self.__skip_prompt).grid(row=11, column=0, columnspan=4, sticky=W)
+        Checkbutton(self.__master, text="Skip already tagged files", variable=self.__skip_tagged).grid(row=12, column=0, columnspan=4, sticky=W)
+        Label(self.__master, text="Start at index:").grid(row=13, column=0)
+        Entry(self.__master, textvariable=self.__index, validate='all', validatecommand=(validate_number, '%P')).grid(row=13, column=1, columnspan=1)
+        Button(self.__master, text="Start", command=self.__master.destroy).grid(row=14, column=0, columnspan=4)
 
     def loop(self):
         self.__master.mainloop()
 
         self.__args["base"] = self.__base.get()
         self.__args["file_dir"] = self.__file_dir.get()
+        self.__args["tag_metadata"] = self.__tag_metadata.get()
         self.__args["predict_images"] = self.__predict_images.get()
         self.__args["predict_images_backend"] = self.__predict_images_backend.get()
         self.__args["predict_images_top"] = int(self.__predict_images_top.get())