Fix encoding for load too

Fixes #204

README.md

@@ -136,7 +136,7 @@ To add custom mappings for unknown Loras, you can use the UI provided by model-k
 The only issue is that it has no official support for the Lycoris extension and doesn't scan its folder for files, so to add them through the UI you will have to temporarily move them into the Lora model folder to be able to select them in model-keywords dropdown.
 Some are already included in the default list though, so trying it out first is advisable.
 <details>
-<summary>Walkthorugh to add custom keywords</summary>
+<summary>Walkthrough to add custom keywords</summary>
 
 ![image](https://github.com/DominikDoom/a1111-sd-webui-tagcomplete/assets/34448969/4302c44e-c632-473d-a14a-76f164f966cb)
 </details>

scripts/model_keyword_support.py

@@ -7,6 +7,8 @@ from scripts.shared_paths import EXT_PATH, STATIC_TEMP_PATH, TEMP_PATH
 
 # Set up our hash cache
 known_hashes_file = TEMP_PATH.joinpath("known_lora_hashes.txt")
+if not TEMP_PATH.exists():
+    TEMP_PATH.mkdir()
 known_hashes_file.touch()
 file_needs_update = False
 
@@ -15,7 +17,7 @@ hash_dict = {}
 
 
 def load_hash_cache():
-    with open(known_hashes_file, "r") as file:
+    with open(known_hashes_file, "r", encoding="utf-8") as file:
         for line in file:
             name, hash, mtime = line.replace("\n", "").split(",")
             hash_dict[name] = (hash, mtime)
@@ -24,7 +26,7 @@ def load_hash_cache():
 def update_hash_cache():
     global file_needs_update
     if file_needs_update:
-        with open(known_hashes_file, "w") as file:
+        with open(known_hashes_file, "w", encoding="utf-8") as file:
             for name, (hash, mtime) in hash_dict.items():
                 file.write(f"{name},{hash},{mtime}\n")
 

scripts/tag_autocomplete_helper.py

@@ -263,15 +263,19 @@ def write_temp_files():
     if model_keyword_installed:
         load_hash_cache()
 
-    if LORA_PATH is not None and LORA_PATH.exists():
+    lora_exists = LORA_PATH is not None and LORA_PATH.exists()
+    if lora_exists:
         lora = get_lora()
         if lora:
             write_to_temp_file('lora.txt', lora)
-
-    if LYCO_PATH is not None and LYCO_PATH.exists():
+            
+    lyco_exists = LYCO_PATH is not None and LYCO_PATH.exists()
+    if lyco_exists and not (lora_exists and LYCO_PATH.samefile(LORA_PATH)):
         lyco = get_lyco()
         if lyco:
             write_to_temp_file('lyco.txt', lyco)
+    elif lyco_exists and lora_exists and LYCO_PATH.samefile(LORA_PATH):
+        print("tag_autocomplete_helper: LyCORIS path is the same as LORA path, skipping")
 
     if model_keyword_installed:
         update_hash_cache()