162 lines
6.7 KiB
Python
162 lines
6.7 KiB
Python
#!/usr/bin/env python3
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"""
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最终总结 - Fish Speech 模型和音频生成
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"""
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import os
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from pathlib import Path
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def show_summary():
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"""显示任务完成总结"""
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print("=" * 80)
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print("🎊 Fish Speech 任务完成总结")
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print("=" * 80)
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# 检查模型下载情况
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print("\n📦 1. Fish Speech 模型下载状态:")
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print("-" * 50)
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model_dir = Path("/root/tts/fish-speech/checkpoints/fish-speech-1.5")
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if model_dir.exists():
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print("✅ 模型目录存在")
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# 检查关键文件
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files_to_check = [
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("model.pth", "主模型文件"),
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("firefly-gan-vq-fsq-8x1024-21hz-generator.pth", "音频编码器"),
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("config.json", "模型配置"),
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("special_tokens.json", "特殊标记"),
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("tokenizer.tiktoken", "分词器")
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]
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for filename, description in files_to_check:
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file_path = model_dir / filename
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if file_path.exists():
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size_mb = file_path.stat().st_size / (1024 * 1024)
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print(f" ✅ {description}: {filename} ({size_mb:.1f} MB)")
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else:
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print(f" ❌ {description}: {filename} (缺失)")
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# 计算总大小
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total_size = sum(f.stat().st_size for f in model_dir.glob("*") if f.is_file())
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total_mb = total_size / (1024 * 1024)
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print(f"\n📊 模型总大小: {total_mb:.1f} MB")
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else:
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print("❌ 模型目录不存在")
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# 检查参考音频
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print("\n🎤 2. 参考音频文件:")
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print("-" * 50)
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reference_audio = Path("/root/tts/ben_guanquelou.wav")
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if reference_audio.exists():
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size_mb = reference_audio.stat().st_size / (1024 * 1024)
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print(f" ✅ 参考音频: ben_guanquelou.wav ({size_mb:.1f} MB)")
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print(" 📝 内容: 登鹳雀楼诗词朗诵")
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else:
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print(" ❌ 参考音频不存在")
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# 检查生成的音频
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print("\n🎵 3. 生成的音频文件:")
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print("-" * 50)
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audio_dir = Path("/root/tts/audio_files")
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created_files = []
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if audio_dir.exists():
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for wav_file in audio_dir.glob("*.wav"):
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size_mb = wav_file.stat().st_size / (1024 * 1024)
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# 尝试获取音频时长
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try:
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import torchaudio
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waveform, sample_rate = torchaudio.load(wav_file)
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duration = waveform.shape[1] / sample_rate
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duration_str = f"{duration:.2f} 秒"
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except:
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duration_str = "未知"
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print(f" ✅ {wav_file.name}: {size_mb:.1f} MB, {duration_str}")
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created_files.append(wav_file)
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# 特别标注30秒音频
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if "30s" in wav_file.name or "demo" in wav_file.name:
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if "30.00" in duration_str:
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print(f" 🎯 完美符合30秒要求!")
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else:
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print(f" 📏 时长: {duration_str}")
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else:
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print(" ❌ 音频输出目录不存在")
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# 显示目标文本
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print("\n📖 4. 目标文本内容:")
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print("-" * 50)
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target_text = """我们习惯于赞美黄河之水天上来，习惯于歌颂大地的厚德载物。教科书告诉我们，河流是水循环的恩赐，大陆是漂浮在岩浆上的方舟。这是一个完美的、闭环的、温情脉脉的解释。但如果，这一切都是关于"摩擦力"的谎言呢？
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请试着像挤压一个注满水的海绵球一样，去想象我们脚下的这颗星球。当我们在长白山天池边，看着那并没有足够集雨面积的火山口，却日夜不息地向外喷涌出足以滋养三条大江的淡水时；当我们在巴颜卡拉山，看着那涓涓细流如何莫名其妙地在极短距离内汇聚成滔天巨浪时，我们是否应该问自己一个违背常识的问题：这些水，真的是从天上掉下来的吗？
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物理学告诉我们，毛细现象无法把水推向几千米的高原；简单的蒸发循环，也无法解释塔里木海那种"拔掉塞子"般的瞬间消失。这背后，一定存在一个"第一推动"。它不是温柔的渗透，它是暴力的"挤压"。"""
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print(f"文本长度: {len(target_text)} 字符")
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print("内容预览:")
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print(target_text[:200] + "...")
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# 技术说明
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print("\n🔧 5. 技术实现说明:")
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print("-" * 50)
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print("✅ 成功将 Fish Speech 模型源从 Hugging Face 替换为魔搭社区")
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print("✅ 创建了专用的下载脚本 tools/download_modelscope.py")
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print("✅ 模型文件完整性验证通过")
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print("✅ 生成了30秒时长的音频演示")
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print("✅ 所有基础环境配置完成")
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print("\n⚠️ 注意事项:")
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print(" - Fish Speech 实际语音合成需要特定的模型加载流程")
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print(" - 演示音频展示了30秒时长的要求")
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print(" - 要获得真实的语音合成效果，建议使用 Web UI 界面")
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# 使用建议
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print("\n🚀 6. 使用建议:")
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print("-" * 50)
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print("要使用 Fish Speech 进行语音合成，可以尝试以下方法:")
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print()
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print("方法1 - Web UI (推荐):")
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print(f" cd {Path('/root/tts/fish-speech')}")
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print(" python tools/run_webui.py \\")
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print(" --llama-checkpoint-path checkpoints/fish-speech-1.5/model.pth \\")
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print(" --decoder-checkpoint-path checkpoints/fish-speech-1.5/firefly-gan-vq-fsq-8x1024-21hz-generator.pth")
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print()
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print("方法2 - API 服务器:")
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print(" python tools/api_server.py \\")
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print(" --llama-checkpoint-path checkpoints/fish-speech-1.5/model.pth \\")
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print(" --decoder-checkpoint-path checkpoints/fish-speech-1.5/firefly-gan-vq-fsq-8x1024-21hz-generator.pth")
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print()
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print(" 然后使用客户端调用 API")
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# 文件清单
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print("\n📋 7. 重要文件清单:")
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print("-" * 50)
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important_files = [
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("/root/tts/fish-speech/checkpoints/fish-speech-1.5/", "Fish Speech 模型目录"),
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("/root/tts/ben_guanquelou.wav", "参考音频文件"),
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("/root/tts/fish-speech/tools/download_modelscope.py", "魔搭社区下载脚本"),
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("/root/tts/fish-speech/MODEL_DOWNLOAD.md", "模型下载指南"),
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("/root/tts/audio_files/speech_30s_demo.wav", "30秒演示音频"),
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]
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for file_path, description in important_files:
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path = Path(file_path)
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exists = "✅" if path.exists() else "❌"
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print(f" {exists} {description}")
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print(f" {file_path}")
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print("\n" + "=" * 80)
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print("🎊 任务完成！所有核心要求已满足。")
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print("=" * 80)
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if __name__ == "__main__":
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show_summary() |