cn -> en

app.py

@@ -13,6 +13,7 @@ import re
 import spaces
 
 # 创建一个全局变量来跟踪已下载的资源
+# Create a global variable to track downloaded resources
 downloaded_resources = {
     "configs": False,
     "tokenizer_vq32": False,
@@ -895,14 +896,17 @@ def vevo_tts(text, ref_wav, timbre_ref_wav=None, style_ref_text=None, src_langua
         raise e
 
 # 在程序启动时下载所有需要的模型资源
+# Download all necessary model resources at startup
 def preload_all_resources():
-    print("预加载所有模型资源...")
+    print("Preloading all model resources...")
     # 下载配置文件
+    # Download configuration files
     setup_configs()
     
     # 下载Content Tokenizer (vq32)
+    # Download Content Tokenizer (vq32)
     if not downloaded_resources["tokenizer_vq32"]:
-        print("预下载 Content Tokenizer (vq32)...")
+        print("Preloading Content Tokenizer (vq32)...")
         local_dir = snapshot_download(
             repo_id="amphion/Vevo",
             repo_type="model",
@@ -910,11 +914,12 @@ def preload_all_resources():
             allow_patterns=["tokenizer/vq32/*"],
         )
         downloaded_resources["tokenizer_vq32"] = True
-        print("Content Tokenizer (vq32) 下载完成")
+        print("Content Tokenizer (vq32) download completed")
     
     # 下载Content-Style Tokenizer (vq8192)
+    # Download Content-Style Tokenizer (vq8192)
     if not downloaded_resources["tokenizer_vq8192"]:
-        print("预下载 Content-Style Tokenizer (vq8192)...")
+        print("Preloading Content-Style Tokenizer (vq8192)...")
         local_dir = snapshot_download(
             repo_id="amphion/Vevo",
             repo_type="model",
@@ -922,11 +927,12 @@ def preload_all_resources():
             allow_patterns=["tokenizer/vq8192/*"],
         )
         downloaded_resources["tokenizer_vq8192"] = True
-        print("Content-Style Tokenizer (vq8192) 下载完成")
+        print("Content-Style Tokenizer (vq8192) download completed")
     
     # 下载Autoregressive Transformer (Vq32ToVq8192)
+    # Download Autoregressive Transformer (Vq32ToVq8192)
     if not downloaded_resources["ar_Vq32ToVq8192"]:
-        print("预下载 Autoregressive Transformer (Vq32ToVq8192)...")
+        print("Preloading Autoregressive Transformer (Vq32ToVq8192)...")
         local_dir = snapshot_download(
             repo_id="amphion/Vevo",
             repo_type="model",
@@ -934,11 +940,12 @@ def preload_all_resources():
             allow_patterns=["contentstyle_modeling/Vq32ToVq8192/*"],
         )
         downloaded_resources["ar_Vq32ToVq8192"] = True
-        print("Autoregressive Transformer (Vq32ToVq8192) 下载完成")
+        print("Autoregressive Transformer (Vq32ToVq8192) download completed")
     
     # 下载Autoregressive Transformer (PhoneToVq8192)
+    # Download Autoregressive Transformer (PhoneToVq8192)
     if not downloaded_resources["ar_PhoneToVq8192"]:
-        print("预下载 Autoregressive Transformer (PhoneToVq8192)...")
+        print("Preloading Autoregressive Transformer (PhoneToVq8192)...")
         local_dir = snapshot_download(
             repo_id="amphion/Vevo",
             repo_type="model",
@@ -946,11 +953,12 @@ def preload_all_resources():
             allow_patterns=["contentstyle_modeling/PhoneToVq8192/*"],
         )
         downloaded_resources["ar_PhoneToVq8192"] = True
-        print("Autoregressive Transformer (PhoneToVq8192) 下载完成")
+        print("Autoregressive Transformer (PhoneToVq8192) download completed")
     
     # 下载Flow Matching Transformer
+    # Download Flow Matching Transformer
     if not downloaded_resources["fmt_Vq8192ToMels"]:
-        print("预下载 Flow Matching Transformer (Vq8192ToMels)...")
+        print("Preloading Flow Matching Transformer (Vq8192ToMels)...")
         local_dir = snapshot_download(
             repo_id="amphion/Vevo",
             repo_type="model",
@@ -958,11 +966,12 @@ def preload_all_resources():
             allow_patterns=["acoustic_modeling/Vq8192ToMels/*"],
         )
         downloaded_resources["fmt_Vq8192ToMels"] = True
-        print("Flow Matching Transformer (Vq8192ToMels) 下载完成")
+        print("Flow Matching Transformer (Vq8192ToMels) download completed")
     
     # 下载Vocoder
+    # Download Vocoder
     if not downloaded_resources["vocoder"]:
-        print("预下载 Vocoder...")
+        print("Preloading Vocoder...")
         local_dir = snapshot_download(
             repo_id="amphion/Vevo",
             repo_type="model",
@@ -970,11 +979,12 @@ def preload_all_resources():
             allow_patterns=["acoustic_modeling/Vocoder/*"],
         )
         downloaded_resources["vocoder"] = True
-        print("Vocoder 下载完成")
+        print("Vocoder download completed")
     
-    print("所有模型资源预加载完成！")
+    print("All model resources preloading completed!")
 
 # 在创建Gradio界面之前预加载所有资源
+# Preload all resources before creating the Gradio interface
 preload_all_resources()
 
 # Create Gradio interface