Delete filtering

app.py

@@ -85,10 +85,6 @@ word_list = word_list_dataset["train"]['text']
 #gradio.helpers.CACHED_FOLDER="/data/cache"
 
 def infer(prompt, negative="low_quality", scale=7, style_name=None, profile: gr.OAuthProfile | None = None):
-    for filter in word_list:
-        if re.search(rf"\b{filter}\b", prompt):
-            raise gr.Error("Please try again with a different prompt")
-
     seed = random.randint(0,4294967295)
     prompt, negative = apply_style(style_name, prompt, negative)
     images = []