update webui

fish_speech/text/clean.py

@@ -64,6 +64,6 @@ def clean_text(text):
 
     # Replace all chinese symbols with their english counterparts
     text = REPLACE_SYMBOL_REGEX.sub(lambda x: SYMBOLS_MAPPING[x.group()], text)
-    text = REMOVE_UNKNOWN_SYMBOL_REGEX.sub("", text)
+    # text = REMOVE_UNKNOWN_SYMBOL_REGEX.sub("", text)
 
     return text

tools/api.py

@@ -148,7 +148,7 @@ def decode_vq_tokens(
         return decoder_model.decode(
             indices=codes[None],
             feature_lengths=feature_lengths,
-        ).squeeze()
+        )[0].squeeze()
 
     raise ValueError(f"Unknown model type: {type(decoder_model)}")
 

tools/webui.py

@@ -40,7 +40,7 @@ HEADER_MD = f"""# Fish Speech
 
 {i18n("A text-to-speech model based on VQ-GAN and Llama developed by [Fish Audio](https://fish.audio).")}  
 
-{i18n("You can find the source code [here](https://github.com/fishaudio/fish-speech) and models [here](https://huggingface.co/fishaudio/fish-speech-1).")}  
+{i18n("You can find the source code [here](https://github.com/fishaudio/fish-speech) and models [here](https://huggingface.co/fishaudio/fish-speech-1.4).")}  
 
 {i18n("Related code and weights are released under CC BY-NC-SA 4.0 License.")}  
 
@@ -367,7 +367,7 @@ def build_app():
                 with gr.Row():
                     if_refine_text = gr.Checkbox(
                         label=i18n("Text Normalization"),
-                        value=True,
+                        value=False,
                         scale=1,
                     )
 
@@ -381,9 +381,9 @@ def build_app():
                     with gr.Tab(label=i18n("Advanced Config")):
                         chunk_length = gr.Slider(
                             label=i18n("Iterative Prompt Length, 0 means off"),
-                            minimum=0,
-                            maximum=500,
-                            value=100,
+                            minimum=50,
+                            maximum=300,
+                            value=200,
                             step=8,
                         )