Upload 3 files

app.py

@@ -2,9 +2,9 @@ import os,re
 import gradio as gr
 
 gpt_path = os.environ.get(
-    "gpt_path", "models/Azuma/Azuma-e10.ckpt"
+    "gpt_path", "models/Taffy/Taffy-e5.ckpt"
 )
-sovits_path = os.environ.get("sovits_path", "models/Azuma/Azuma_e35_s1435.pth")
+sovits_path = os.environ.get("sovits_path", "models/Taffy/Taffy_e20_s1020.pth")
 cnhubert_base_path = os.environ.get(
     "cnhubert_base_path", "pretrained_models/chinese-hubert-base"
 )
@@ -364,8 +364,8 @@ def load_audio_text_mappings(folder_path, list_file_name):
                 audio_to_text_mappings[audio_file_path] = text
     return text_to_audio_mappings, audio_to_text_mappings
 
-audio_folder_path = 'audio/Azuma'
-text_to_audio_mappings, audio_to_text_mappings = load_audio_text_mappings(audio_folder_path, 'Azuma.list')
+audio_folder_path = 'audio/Taffy'
+text_to_audio_mappings, audio_to_text_mappings = load_audio_text_mappings(audio_folder_path, 'Taffy.list')
 
 with gr.Blocks(title="GPT-SoVITS WebUI") as app:
     gr.Markdown(value="""

models/Taffy/Taffy-e5.ckpt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:267a4d3d25568262f964d7c28070b0a1a63aabc59fb03c9cb36284f3e1fef4a8
+size 155084623

models/Taffy/Taffy_e20_s1020.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f6e0146669e5571812b19daa3b31114bf00aac9ef4f6f848c7e7f8b037f9374a
+size 84930520