i18n: update

Author: Huanshere

config.yaml

@@ -3,7 +3,7 @@ version: "2.0.0"
 ## ======================== Basic Settings ======================== ##
 # API settings
 api:
-  key: 'sk-hhfvwvtaqcbsshswzeyuvvxwpgnskrjqnvxhcxzjlzripizd'
+  key: 'YOUR_API_KEY'
   base_url: 'https://api.siliconflow.cn'
   model: 'Qwen/Qwen2.5-72B-Instruct'
 
@@ -25,7 +25,7 @@ resolution: '1920x1080'
 
 ## ======================== Advanced Settings ======================== ##
 # *Default resolution for downloading YouTube videos [360, 1080, best]
-ytb_resolution: '360'
+ytb_resolution: '1080'
 
 subtitle:
   # *Maximum length of each subtitle line in characters

i18n/中文/config.yaml

@@ -1,30 +1,31 @@
 # * 标有 * 的设置是高级设置，不会出现在 Streamlit 页面中，只能在 config.py 中手动修改
+version: "2.0.0"
 ## ======================== 基本设置 ======================== ##
 # API 设置
 api:
-  key: 'YOUR_KEY'
-  base_url: 'https://yunwu.zeabur.app'
-  model: 'gemini-1.5-pro-002'
+  key: 'YOUR_API_KEY'
+  base_url: 'https://api.siliconflow.cn'
+  model: 'Qwen/Qwen2.5-72B-Instruct'
 
 # 语言设置，写入提示词，可以用自然语言描述
-target_language: 'Chinese'
+target_language: '简体中文'
 
 # 是否在转录前进行人声分离，警告这可能会减慢过程并导致行缺失！
 demucs: false
 
 whisper:
-  # Whisper 设置 [whisperx, whisperxapi]
-  method: 'whisperx'
-  # Whisper 指定识别语言 [en, zh, auto] auto 为自动检测，en 为强制翻译为英语
+  # ["medium", "large-v3", "large-v3-turbo"]. 注意：对于中文模型将强制使用 Belle/large-v3
+  model: 'large-v3'
+  # Whisper 指定识别语言 [en, zh, ...]
   language: 'en'
   detected_language: 'en'
 
 # 视频分辨率 [0x0, 640x360, 1920x1080] 0x0 会生成一个 0 秒的黑色视频占位符
-resolution: '640x360'
+resolution: '1920x1080'
 
 ## ======================== 高级设置 ======================== ##
 # *下载 YouTube 视频的默认分辨率 [360, 1080, best]
-ytb_resolution: '360'
+ytb_resolution: '1080'
 
 subtitle:
   # *每行字幕的最大字符长度
@@ -41,8 +42,20 @@ max_split_length: 20
 pause_before_translate: false
 
 ## ======================== 配音设置 ======================== ##
-# TTS 选择 [openai_tts, gpt_sovits, azure_tts, fish_tts]
-tts_method: 'azure_tts'
+# TTS 选择 [sf_fish_tts, openai_tts, gpt_sovits, azure_tts, fish_tts]
+tts_method: 'sf_fish_tts'
+
+# SiliconFlow FishTTS
+sf_fish_tts:
+  # SiliconFlow API key
+  api_key: 'YOUR_API_KEY'
+  # 仅用于 "preset" 模式
+  voice: 'anna'
+  # *仅用于 "custom" 模式，不要手动设置
+  custom_name: ''
+  voice_id: ''
+  # preset, custom, dynamic
+  mode: "preset"
 
 # OpenAI TTS-1 API 配置
 openai_tts:
@@ -72,15 +85,21 @@ fish_tts:
 # *音频速度范围
 speed_factor:
   min: 1
+  accept: 1.2 # 可以接受的最大速度
   max: 1.4
-  normal: 1.2  # *被认为是正常语速
 
 # *合并音频配置
-min_subtitle_duration: 3
-min_trim_duration: 2.50
+min_subtitle_duration: 2.5 # 最小字幕出现时间 会强制扩展
+min_trim_duration: 3.5 # 小于这个值的字幕不会切割
+tolerance: 1.5 # 允许向后延申的时间
 
 # 音量设置
-dub_volume: 1.3  # *配音音频音量（1.3 = 130%，大多数原始配音音频相对较安静）
+dub_volume: 1.5  # *配音音频音量（1.5 = 150%，大多数原始配音音频相对较安静）
+
+
+
+
+
 
 ## ======================== 附加设置 请勿修改 ======================== ##
 # Whisper 模型目录
@@ -96,7 +115,6 @@ allowed_video_formats:
 - 'wmv'
 - 'webm'
 
-# 支持的音频格式
 allowed_audio_formats:
 - 'wav'
 - 'mp3'
@@ -112,6 +130,11 @@ llm_support_json:
 - 'gemini-1.5-pro-latest'
 - 'gemini-1.5-pro-002'
 
+# 存在问题
+# - 'Qwen/Qwen2.5-72B-Instruct'
+# - 'Qwen/Qwen2.5-Coder-32B-Instruct'
+# - 'Qwen/Qwen2.5-Chat-72B-Instruct-128K'
+
 # Spacy 模型
 spacy_model_map:
   en: 'en_core_web_md'

i18n/中文/install.py

@@ -4,47 +4,62 @@
 import sys
 import zipfile
 import shutil
-
 sys.path.append(os.path.dirname(os.path.abspath(__file__)))
 
+ascii_logo = """
+__     ___     _            _     _                    
+\ \   / (_) __| | ___  ___ | |   (_)_ __   __ _  ___  
+ \ \ / /| |/ _` |/ _ \/ _ \| |   | | '_ \ / _` |/ _ \ 
+  \ V / | | (_| |  __/ (_) | |___| | | | | (_| | (_) |
+   \_/  |_|\__,_|\___|\___/|_____|_|_| |_|\__, |\___/ 
+                                          |___/        
+"""
+
 def install_package(*packages):
     subprocess.check_call([sys.executable, "-m", "pip", "install", *packages])
 
-install_package("requests", "rich", "ruamel.yaml")
-from core.pypi_autochoose import main as choose_mirror
-
 def check_gpu():
-    """检查是否有 NVIDIA GPU 可用"""
     try:
-        # 🔍 尝试运行 nvidia-smi 命令来检测 GPU
         subprocess.run(['nvidia-smi'], stdout=subprocess.PIPE, stderr=subprocess.PIPE, check=True)
         return True
     except (subprocess.CalledProcessError, FileNotFoundError):
         return False
 
 def main():
+    install_package("requests", "rich", "ruamel.yaml")
     from rich.console import Console
     from rich.panel import Panel
-    
+    from rich.box import DOUBLE
     console = Console()
+    
+    width = max(len(line) for line in ascii_logo.splitlines()) + 4
+    welcome_panel = Panel(
+        ascii_logo,
+        width=width,
+        box=DOUBLE,
+        title="[bold green]🌏[/bold green]",
+        border_style="bright_blue"
+    )
+    console.print(welcome_panel)
+    
     console.print(Panel.fit("🚀 开始安装", style="bold magenta"))
 
     # 配置镜像源
-    console.print(Panel("⚙️ 正在配置镜像源", style="bold yellow"))
+    from core.pypi_autochoose import main as choose_mirror
     choose_mirror()
 
-    # 检测系统和 GPU
+    # 检测系统和GPU
     if platform.system() == 'Darwin':
-        console.print(Panel("🍎 检测到 MacOS，正在安装 CPU 版本的 PyTorch... 但速度会慢很多", style="cyan"))
-        subprocess.check_call([sys.executable, "-m", "pip", "install", "torch", "torchaudio"])
+        console.print(Panel("🍎 检测到 MacOS，正在安装 CPU 版本的 PyTorch... 但转写速度会慢很多", style="cyan"))
+        subprocess.check_call([sys.executable, "-m", "pip", "install", "torch==2.1.2", "torchaudio==2.1.2"])
     else:
         has_gpu = check_gpu()
         if has_gpu:
             console.print(Panel("🎮 检测到 NVIDIA GPU，正在安装 CUDA 版本的 PyTorch...", style="cyan"))
             subprocess.check_call([sys.executable, "-m", "pip", "install", "torch==2.0.0", "torchaudio==2.0.0", "--index-url", "https://download.pytorch.org/whl/cu118"])
         else:
-            console.print(Panel("💻 未检测到 NVIDIA GPU，正在安装 CPU 版本的 PyTorch... 但速度会慢很多", style="cyan"))
-            subprocess.check_call([sys.executable, "-m", "pip", "install", "torch", "torchaudio"])
+            console.print(Panel("💻 未检测到 NVIDIA GPU，正在安装 CPU 版本的 PyTorch... 但转写速度会慢很多", style="cyan"))
+            subprocess.check_call([sys.executable, "-m", "pip", "install", "torch==2.1.2", "torchaudio==2.1.2"])
 
     # 安装 WhisperX
     console.print(Panel("📦 正在安装 WhisperX...", style="cyan"))
@@ -65,6 +80,10 @@ def install_requirements():
         subprocess.check_call([sys.executable, "-m", "pip", "install", "-r", "requirements.txt"])
 
     def download_and_extract_ffmpeg():
+        # 需要同时安装 conda-ffmpeg 和 ffmpeg.exe
+        console.print(Panel("📦 正在通过 conda 安装 ffmpeg...", style="cyan"))
+        subprocess.check_call(["conda", "install", "-y", "ffmpeg"])
+
         import requests
         system = platform.system()
         if system == "Windows":
@@ -83,15 +102,15 @@ def download_and_extract_ffmpeg():
             print(f"{ffmpeg_exe} 已存在")
             return
 
-        print("正在下载 FFmpeg")
+        console.print(Panel("📦 正在下载 FFmpeg...", style="cyan"))
         response = requests.get(url)
         if response.status_code == 200:
             filename = "ffmpeg.zip" if system in ["Windows", "Darwin"] else "ffmpeg.tar.xz"
             with open(filename, 'wb') as f:
                 f.write(response.content)
-            print(f"FFmpeg 下载完成: {filename}")
+            console.print(Panel(f"FFmpeg 下载完成: {filename}", style="cyan"))
 
-            print("正在解压 FFmpeg")
+            console.print(Panel("📦 正在解压 FFmpeg...", style="cyan"))
             if system == "Linux":
                 import tarfile
                 with tarfile.open(filename) as tar_ref:
@@ -106,15 +125,15 @@ def download_and_extract_ffmpeg():
                             zip_ref.extract(file)
                             shutil.move(os.path.join(*file.split('/')[:-1], os.path.basename(file)), os.path.basename(file))
 
-            print("正在清理")
+            console.print(Panel("📦 正在清理...", style="cyan"))
             os.remove(filename)
             if system == "Windows":
                 for item in os.listdir():
                     if os.path.isdir(item) and "ffmpeg" in item.lower():
                         shutil.rmtree(item)
-            print("FFmpeg 解压完成")
+            console.print(Panel("FFmpeg 解压完成", style="cyan"))
         else:
-            print("FFmpeg 下载失败")
+            console.print(Panel("❌ FFmpeg 下载失败", style="red"))
 
     def install_noto_font():
         if platform.system() == 'Linux':