preprocess algo is optimized and some code parts are refactored

__init__.py

@@ -12,18 +12,18 @@ from prompt_generator import PromptGenerator
 
 print("/_\ Loading Prompt Generator")
 
-# Check prompt_generators folder under the models folder
+# check prompt_generators folder under the models folder
 
 root = join(models_dir, "prompt_generators")
 if exists(root) is False:
-    print(f"/_\ {root} is created. Please add your prompt generators to {root} folder")
     mkdir(root)
+    print(f"/_\ {root} is created. Please add your prompt generators to {root} folder")
 
 prompts_file = join(base_path, "generated_prompts")
 if exists(prompts_file) is False:
     mkdir(prompts_file)
 
-# Import PromptGenerator node to ComfyUI
+# import PromptGenerator node to ComfyUI
 
 NODE_CLASS_MAPPINGS = {
     "Prompt Generator": PromptGenerator,
@@ -34,3 +34,6 @@ NODE_DISPLAY_NAME_MAPPINGS = {
 }
 
 __all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]
+
+print("/_\ Loaded Successfully")
+print("-" * 100)

generator/__init__.py

@@ -15,7 +15,7 @@ def check_package(package_name: str, install_name: str) -> None:
 
     print(f"/_\ Installing {package_name}")
 
-    command = ""
+    # check if portable version or manual
     if exists("python_embeded"):
         command = f".\\python_embeded\\python.exe -s -m pip install {install_name}"
     else:
@@ -24,17 +24,20 @@ def check_package(package_name: str, install_name: str) -> None:
     process = run(command, shell=True, check=True, capture_output=True)
 
 
+print(" Prompt Generator ComfyUI Node ".center(100, "-"))
+
 # Check required packages
 print("/_\ Checking packages")
 
 check_package("transformers", "transformers")
 check_package("accelerate", "accelerate")
 
+# triton package exists only in Linux
 if os_name == "Linux":
     check_package("triton", "triton")
 
 check_package("optimum", "optimum")
-check_package("onnxruntime-gpu", "optimum[onnxruntime-gpu]")
+check_package("onnxruntime", "optimum[onnxruntime-gpu]")
 
 """
 # This package is for onnx models that run on CPU

generator/model.py

@@ -1,6 +1,8 @@
-from transformers import AutoModelForCausalLM, AutoTokenizer, Pipeline, pipeline
+from transformers import AutoModelForCausalLM, AutoTokenizer, Pipeline
+
+from transformers import pipeline as tf_pipe
+from optimum.pipelines import pipeline as opt_pipe
 
-import optimum.pipelines
 from optimum.onnxruntime import ORTModelForCausalLM
 
 
@@ -8,7 +10,7 @@ def get_default_pipeline(model_name: str) -> Pipeline:
     model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
     tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-    pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer)
+    pipe = tf_pipe(task="text-generation", model=model, tokenizer=tokenizer)
 
     return pipe
 
@@ -17,7 +19,7 @@ def get_onnx_pipeline(model_name: str) -> Pipeline:
     model = ORTModelForCausalLM.from_pretrained(model_name)
     tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-    pipe = optimum.pipelines.pipeline(
+    pipe = opt_pipe(
         task="text-generation", model=model, tokenizer=tokenizer, accelerator="ort"
     )
 
@@ -28,7 +30,7 @@ def get_bettertransformer_pipeline(model_name: str) -> Pipeline:
     model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
     tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-    pipe = optimum.pipelines.pipeline(
+    pipe = opt_pipe(
         task="text-generation",
         model=model,
         tokenizer=tokenizer,

preprocess.py

@@ -1,54 +1,52 @@
 from string import punctuation
 from re import sub, compile
+from collections import OrderedDict
 
-def get_unique_list(sequence : list) -> list:
+
+def get_unique_list(sequence: list) -> list:
     seen = set()
     return [x for x in sequence if not (x in seen or seen.add(x))]
 
-def remove_exact_keywords(line : str) -> list[str]:
+
+def remove_exact_keywords(line: str) -> list[str]:
     char_blacklist = set(f"{punctuation}0123456789")
 
     # remove exact prompts
     prompts = get_unique_list(line.split(","))
-    pure_prompts = []
+
+    pure_prompts = OrderedDict()  # order matters
+    extracted_pure_prompts = {}  # order isn't important
 
     # remove exact keyword
     for prompt in prompts:
-        can_add = True
         # extract the keyword
         keyword = "".join(c for c in prompt if c not in char_blacklist).lstrip()
 
         if keyword == "":
             continue
 
-        for pure_prompt in pure_prompts:
-            if prompt == pure_prompt:
-                can_add = False
-                break
+        if prompt in pure_prompts or keyword in extracted_pure_prompts:
+            continue
 
-            extracted_pure_prompt = "".join(c for c in pure_prompt if c not in char_blacklist).lstrip()
-            if keyword == extracted_pure_prompt:
-                can_add = False
-                break
+        pure_prompts[prompt] = True
+        extracted_pure_prompts[keyword] = True
 
-        if can_add:
-            pure_prompts.append(prompt)
+    return pure_prompts.keys()
 
-    return pure_prompts
 
-def preprocess(line : str, preprocess_mode : str) -> str:
-    pattern = compile(r'(,\s){2,}')
+def preprocess(line: str, preprocess_mode: str) -> str:
+    pattern = compile(r"(,\s){2,}")
 
-    temp_line = line.replace(u'\xa0', u' ')
+    temp_line = line.replace("\xa0", " ")
     temp_line = temp_line.replace("\n", ", ")
     temp_line = temp_line.replace("\t", " ")
     temp_line = temp_line.replace("|", ",")
     temp_line = temp_line.replace("  ", " ")
-    temp_line = sub(pattern, ', ', temp_line)
+    temp_line = sub(pattern, ", ", temp_line)
 
     if preprocess_mode == "exact_keyword":
-        temp_line = ','.join(remove_exact_keywords(temp_line))
+        temp_line = ",".join(remove_exact_keywords(temp_line))
     elif preprocess_mode == "exact_prompt":
-        temp_line = ','.join(get_unique_list(temp_line.split(",")))
+        temp_line = ",".join(get_unique_list(temp_line.split(",")))
 
-    return temp_line
+    return temp_line

prompt_generator.py

@@ -16,7 +16,7 @@ class PromptGenerator:
                     [
                         file
                         for file in listdir(join(models_dir, "prompt_generators"))
-                        if isdir(join(join(models_dir, "prompt_generators"), file))
+                        if isdir(join(models_dir, "prompt_generators", file))
                     ],
                 ),
                 "accelerate": (["enable", "disable"],),