use neutral naming

README.md

@@ -1,5 +1,5 @@
 ---
-title: TITPOP DEMO
+title: TIPO DEMO
 emoji: 📉
 colorFrom: yellow
 colorTo: red

app.py

@@ -6,7 +6,7 @@ try:
     import kgen
 except:
     GH_TOKEN = os.getenv("GITHUB_TOKEN")
-    git_url = f"https://{GH_TOKEN}@github.com/KohakuBlueleaf/TITPOP-KGen@titpop"
+    git_url = f"https://{GH_TOKEN}@github.com/KohakuBlueleaf/TIPO-KGen@tipo"
 
     ## call pip install
     os.system(f"pip install git+{git_url}")
@@ -25,7 +25,7 @@ else:
     from spaces import GPU
 
 import kgen.models as models
-import kgen.executor.titpop as titpop
+import kgen.executor.tipo as tipo
 from kgen.formatter import seperate_tags, apply_format
 from kgen.generate import generate
 
@@ -36,7 +36,7 @@ from meta import DEFAULT_NEGATIVE_PROMPT, DEFAULT_FORMAT
 sdxl_pipe = load_model()
 
 models.load_model(
-    "Amber-River/titpop",
+    "Amber-River/tipo",
     device="cuda",
     subfolder="500M-epoch3",
 )
@@ -101,7 +101,7 @@ def generate(
     escape_brackets,
 ):
     default_format = DEFAULT_FORMAT[output_format]
-    titpop.BAN_TAGS = [t.strip() for t in black_list.split(",") if t.strip()]
+    tipo.BAN_TAGS = [t.strip() for t in black_list.split(",") if t.strip()]
     generation_setting = {
         "seed": seed,
         "temperature": temp,
@@ -119,14 +119,14 @@ def generate(
     if escape_brackets:
         input_prompt = re.sub(r"([()\[\]])", r"\\\1", input_prompt)
 
-    meta, operations, general, nl_prompt = titpop.parse_titpop_request(
+    meta, operations, general, nl_prompt = tipo.parse_tipo_request(
         seperate_tags(tags.split(",")),
         nl_prompt,
         tag_length_target=target_length,
         generate_extra_nl_prompt="<|generated|>" in default_format or not nl_prompt,
     )
     t0 = time()
-    for result, timing in titpop.titpop_runner_generator(
+    for result, timing in tipo.tipo_runner_generator(
         meta, operations, general, nl_prompt, **generation_setting
     ):
         result = apply_format(result, default_format)
@@ -183,11 +183,11 @@ if __name__ == "__main__":
         with gr.Accordion("Introduction and Instructions", open=False):
             gr.Markdown(
                 """
-## TITPOP Demo
+## TIPO Demo
 **The model for demo is 500M version with 4epoch training (25B token seen)**
 
 ### What is this
-TITPOP is a tool to extend, generate, refine the input prompt for T2I models.
+TIPO is a tool to extend, generate, refine the input prompt for T2I models.
 <br>It can work on both Danbooru tags and Natural Language. Which means you can use it on almost all the existed T2I models.
 <br>You can take it as "pro max" version of [DTG](https://huggingface.co/KBlueLeaf/DanTagGen-delta-rev2)
 
@@ -196,7 +196,7 @@ TITPOP is a tool to extend, generate, refine the input prompt for T2I models.
 2. Enter your NL Prompt(optional): put the desired natural language prompt into "Natural Language Prompt" box
 3. Enter your black list(optional): put the desired black list into "black list" box
 4. Adjust the settings: length, temp, top_p, min_p, top_k, seed ...
-4. Click "TITPOP" button: you will see refined prompt on "result" box
+4. Click "TIPO" button: you will see refined prompt on "result" box
 5. If you like the result, click "Generate Image From Result" button
     * You will see 2 generated images, left one is based on your prompt, right one is based on refined prompt
     * The backend is diffusers, there are no weighting mechanism, so Escape Brackets is default to False
@@ -208,7 +208,7 @@ TITPOP is a tool to extend, generate, refine the input prompt for T2I models.
 4. Once the project/research are done, I will open source all these models/codes with Apache2 license.
 
 ### Notification
-**TITPOP is NOT a T2I model. It is Prompt Gen, or, Text-to-Text model. 
+**TIPO is NOT a T2I model. It is Prompt Gen, or, Text-to-Text model. 
 <br>The generated image is come from [Kohaku-XL-Zeta](https://huggingface.co/KBlueLeaf/Kohaku-XL-Zeta) model**
 """
             )
@@ -285,7 +285,7 @@ TITPOP is a tool to extend, generate, refine the input prompt for T2I models.
                             escape_brackets = gr.Checkbox(
                                 label="Escape Brackets", value=False
                             )
-                        submit = gr.Button("TITPOP!", variant="primary")
+                        submit = gr.Button("TIPO!", variant="primary")
                 with gr.Accordion("Speed statstics", open=False):
                     cost_time = gr.Markdown()
             with gr.Column(scale=5):