Disable prompt filter as the original filter dataset is gone

app.py

@@ -77,9 +77,10 @@ def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str
     p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
     return p.replace("{prompt}", positive), n + negative
 
-
-word_list_dataset = load_dataset("google/word-list-sd", data_files="list.txt")
-word_list = word_list_dataset["train"]['text']
+# word_list_dataset = load_dataset("google/word-list-sd", data_files="list.txt")
+# word_list = word_list_dataset["train"]['text']
+# TODO(yixinshi): the google/word-list-sd is goine. Disable the filer.
+word_list = []
 
 #gradio.helpers.CACHED_FOLDER="/data/cache"
 
@@ -99,7 +100,7 @@ def infer(prompt, negative="low_quality", scale=7, style_name=None, profile: gr.
         json_data = images_request.json()
     except requests.exceptions.JSONDecodeError:
         raise gr.Error("SDXL did not return a valid result, try again")
-    
+
     for image in json_data["images"]:
         image_b64 = (f"data:image/jpeg;base64,{image}")
         images.append(image_b64)
@@ -116,10 +117,10 @@ def infer(prompt, negative="low_quality", scale=7, style_name=None, profile: gr.
                     "guidance_scale": scale,
                 },
             )
-    
+
     return images, gr.update(visible=True)
-    
-    
+
+
 css = """
         .gradio-container {
             font-family: 'IBM Plex Sans', sans-serif;
@@ -222,7 +223,7 @@ css = """
         #share-btn-container div:nth-child(-n+2){width: auto !important;min-height: 0px !important;}
         #share-btn-container .wrap {display: none !important}
         #share-btn-container.hidden {display: none!important}
-        
+
         .gr-form{
             flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0;
         }
@@ -271,7 +272,7 @@ examples = [
         None,
         None
     ],
-    
+
 ]
 
 
@@ -322,7 +323,7 @@ with block:
                 </svg>
                 <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px">
                   Fast Stable Diffusion XL on TPU v5e ⚡
-                </h1> 
+                </h1>
               </div>
               <p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;">
                 SDXL is a high quality text-to-image model from Stability AI. This demo is running on <a style="text-decoration: underline;" href="https://cloud.google.com/blog/products/compute/announcing-cloud-tpu-v5e-and-a3-gpus-in-ga">Google Cloud TPU v5e</a>, to achieve efficient and cost-effective inference of 1024×1024 images. <a href="https://hf.co/blog/sdxl_jax" target="_blank">How does it work?</a>
@@ -330,7 +331,7 @@ with block:
             </div>
         """
     )
-    
+
     with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
                 text = gr.Textbox(
                         label="Enter your prompt",
@@ -338,19 +339,19 @@ with block:
                         max_lines=1,
                         placeholder="Enter your prompt",
                         elem_id="prompt-text-input",
-                )    
+                )
                 btn = gr.Button("Generate", scale=0, elem_id="gen-button")
 
     gallery = gr.Gallery(
                 label="Generated images", show_label=False, elem_id="gallery", grid=[2]
     )
-    
+
 
     with gr.Group(elem_id="share-btn-container", visible=False) as community_group:
                 community_icon = gr.HTML(community_icon_html)
                 loading_icon = gr.HTML(loading_icon_html)
                 share_button = gr.Button("Share to community", elem_id="share-btn")
-    
+
     with gr.Accordion("Advanced settings", open=False):
              style_selection = gr.Radio(
                                show_label=True, container=True, interactive=True,
@@ -373,7 +374,7 @@ with block:
     negative.submit(infer, inputs=[text, negative, guidance_scale, style_selection], outputs=[gallery, community_group], postprocess=False)
     text.submit(infer, inputs=[text, negative, guidance_scale, style_selection], outputs=[gallery, community_group], postprocess=False)
     btn.click(infer, inputs=[text, negative, guidance_scale, style_selection], outputs=[gallery, community_group], postprocess=False)
-        
+
     share_button.click(
             None,
             [],