mirror of
https://github.com/linyqh/NarratoAI.git
synced 2026-05-01 14:18:19 +00:00
158 lines
5.4 KiB
TOML
158 lines
5.4 KiB
TOML
[app]
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project_version="0.7.6"
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# LLM API 超时配置（秒）
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llm_vision_timeout = 120 # 视觉模型基础超时时间
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llm_text_timeout = 180 # 文本模型基础超时时间（解说文案生成等复杂任务需要更长时间）
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llm_max_retries = 3 # API 重试次数
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##########################################
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# 🚀 LLM 配置 - 使用 OpenAI 兼容统一接口
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##########################################
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# 统一使用 OpenAI 兼容协议（/v1/chat/completions）
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# 支持接入 OpenAI、DeepSeek、Gemini 兼容网关、Qwen 网关、SiliconFlow、OpenRouter 等。
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# ===== 视觉模型配置 =====
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vision_llm_provider = "openai"
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# 模型格式：provider/model_name
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# 常用视觉模型示例：
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# - Gemini: gemini/gemini-2.0-flash-lite (推荐，速度快成本低)
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# - Gemini: gemini/gemini-1.5-pro (高精度)
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# - OpenAI: gpt-4o, gpt-4o-mini
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# - Qwen: qwen/qwen2.5-vl-32b-instruct
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# - SiliconFlow: siliconflow/Qwen/Qwen2.5-VL-32B-Instruct
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vision_openai_model_name = "Qwen/Qwen3.5-122B-A10B"
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vision_openai_api_key = "" # 填入对应 provider 的 API key
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vision_openai_base_url = "https://api.siliconflow.cn/v1" # 可选：自定义 API base URL（官方 OpenAI 可留空）
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# ===== 文本模型配置 =====
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text_llm_provider = "openai"
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# 常用文本模型示例：
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# - DeepSeek: deepseek/deepseek-chat (推荐，性价比高)
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# - DeepSeek: deepseek/deepseek-reasoner (推理能力强)
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# - Gemini: gemini/gemini-2.0-flash (速度快)
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# - OpenAI: gpt-4o, gpt-4o-mini, gpt-4-turbo
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# - Qwen: qwen/qwen-plus, qwen/qwen-turbo
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# - SiliconFlow: siliconflow/deepseek-ai/DeepSeek-R1
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# - Moonshot: moonshot/moonshot-v1-8k
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text_openai_model_name = "Pro/zai-org/GLM-5"
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text_openai_api_key = "" # 填入对应 provider 的 API key
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text_openai_base_url = "https://api.siliconflow.cn/v1" # 可选：自定义 API base URL（官方 OpenAI 可留空）
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# ===== API Keys 参考 =====
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# 主流 LLM Providers API Key 获取地址：
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#
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# OpenAI: https://platform.openai.com/api-keys
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# Gemini: https://makersuite.google.com/app/apikey
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# DeepSeek: https://platform.deepseek.com/api_keys
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# Qwen (阿里): https://bailian.console.aliyun.com/?tab=model#/api-key
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# SiliconFlow: https://cloud.siliconflow.cn/account/ak (手机号注册)
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# Moonshot: https://platform.moonshot.cn/console/api-keys
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# Anthropic: https://console.anthropic.com/settings/keys
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# Cohere: https://dashboard.cohere.com/api-keys
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# Together AI: https://api.together.xyz/settings/api-keys
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##########################################
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# 🔧 高级配置（可选）
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##########################################
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# WebUI 界面是否显示配置项
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hide_config = true
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# 官方 OpenAI 默认端点（可选）：
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# text_openai_base_url = "https://api.openai.com/v1"
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##########################################
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# TTS (文本转语音) 配置
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##########################################
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[azure]
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# Azure TTS 配置
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# 获取密钥：https://portal.azure.com
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speech_key = ""
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speech_region = ""
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[tencent]
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# 腾讯云 TTS 配置
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# 访问 https://console.cloud.tencent.com/cam/capi 获取密钥
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secret_id = ""
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secret_key = ""
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region = "ap-beijing" # 地域配置
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[soulvoice]
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# SoulVoice TTS API 配置
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api_key = ""
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voice_uri = "speech:mcg3fdnx:clzkyf4vy00e5qr6hywum4u84:bzznlkuhcjzpbosexitr"
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api_url = "https://tts.scsmtech.cn/tts"
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model = "FunAudioLLM/CosyVoice2-0.5B"
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[tts_qwen]
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# 通义千问 Qwen3 TTS 配置
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# 访问 https://bailian.console.aliyun.com/?tab=model#/api-key 获取你的 API 密钥
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api_key = ""
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model_name = "qwen3-tts-flash"
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[indextts2]
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# IndexTTS2 语音克隆配置
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# 这是一个开源的零样本语音克隆项目，需要自行部署
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# 项目地址：https://github.com/index-tts/index-tts
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# 默认 API 地址（本地部署）
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api_url = "http://127.0.0.1:8081/tts"
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# 默认参考音频路径（可选）
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# reference_audio = "/path/to/reference_audio.wav"
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# 推理模式：普通推理 / 快速推理
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infer_mode = "普通推理"
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# 高级参数
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temperature = 1.0
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top_p = 0.8
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top_k = 30
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do_sample = true
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num_beams = 3
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repetition_penalty = 10.0
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[ui]
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# TTS引擎选择 (edge_tts, azure_speech, soulvoice, tencent_tts, tts_qwen)
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tts_engine = "edge_tts"
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# Edge TTS 配置
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edge_voice_name = "zh-CN-XiaoyiNeural-Female"
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edge_volume = 80
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edge_rate = 1.0
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edge_pitch = 0
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# Azure Speech Services 配置
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azure_voice_name = "zh-CN-XiaoyiNeural-Female"
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azure_volume = 80
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azure_rate = 1.0
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azure_pitch = 0
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##########################################
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# 代理和网络配置
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##########################################
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[proxy]
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# HTTP/HTTPS 代理配置（如需要）
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# clash 默认地址：http://127.0.0.1:7890
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http = ""
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https = ""
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enabled = false
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##########################################
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# 视频处理配置
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##########################################
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[frames]
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# 提取关键帧的间隔时间（秒）
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frame_interval_input = 3
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# 大模型单次处理的关键帧数量
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vision_batch_size = 10
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# 视觉批处理最大并发批次数（OpenAI 兼容 provider）
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vision_max_concurrency = 2
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