mirror of
https://github.com/harry0703/MoneyPrinterTurbo.git
synced 2025-11-25 03:15:04 +08:00
95922908ce
* feat: add provider ai pollinations * update: enter line --------- Co-authored-by: Diep Do <diepchiaser@gmail.com>
215 lines
8.1 KiB
TOML
215 lines
8.1 KiB
TOML
[app]
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video_source = "pexels" # "pexels" or "pixabay"
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# 是否隐藏配置面板
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hide_config = false
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# Pexels API Key
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# Register at https://www.pexels.com/api/ to get your API key.
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# You can use multiple keys to avoid rate limits.
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# For example: pexels_api_keys = ["123adsf4567adf89","abd1321cd13efgfdfhi"]
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# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开
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pexels_api_keys = []
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# Pixabay API Key
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# Register at https://pixabay.com/api/docs/ to get your API key.
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# You can use multiple keys to avoid rate limits.
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# For example: pixabay_api_keys = ["123adsf4567adf89","abd1321cd13efgfdfhi"]
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# 特别注意格式，Key 用英文双引号括起来，多个Key用逗号隔开
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pixabay_api_keys = []
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# 支持的提供商 (Supported providers):
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# openai
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# moonshot (月之暗面)
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# azure
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# qwen (通义千问)
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# deepseek
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# gemini
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# ollama
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# g4f
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# oneapi
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# cloudflare
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# ernie (文心一言)
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llm_provider = "openai"
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########## Pollinations AI Settings
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# Visit https://pollinations.ai/ to learn more
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# API Key is optional - leave empty for public access
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pollinations_api_key = ""
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# Default base URL for Pollinations API
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pollinations_base_url = "https://pollinations.ai/api/v1"
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# Default model for text generation
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pollinations_model_name = "openai-fast"
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########## Ollama Settings
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# No need to set it unless you want to use your own proxy
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ollama_base_url = ""
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# Check your available models at https://ollama.com/library
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ollama_model_name = ""
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########## OpenAI API Key
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# Get your API key at https://platform.openai.com/api-keys
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openai_api_key = ""
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# No need to set it unless you want to use your own proxy
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openai_base_url = ""
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# Check your available models at https://platform.openai.com/account/limits
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openai_model_name = "gpt-4o-mini"
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########## Moonshot API Key
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# Visit https://platform.moonshot.cn/console/api-keys to get your API key.
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moonshot_api_key = ""
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moonshot_base_url = "https://api.moonshot.cn/v1"
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moonshot_model_name = "moonshot-v1-8k"
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########## OneAPI API Key
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# Visit https://github.com/songquanpeng/one-api to get your API key
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oneapi_api_key = ""
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oneapi_base_url = ""
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oneapi_model_name = ""
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########## G4F
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# Visit https://github.com/xtekky/gpt4free to get more details
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# Supported model list: https://github.com/xtekky/gpt4free/blob/main/g4f/models.py
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g4f_model_name = "gpt-3.5-turbo"
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########## Azure API Key
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# Visit https://learn.microsoft.com/zh-cn/azure/ai-services/openai/ to get more details
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# API documentation: https://learn.microsoft.com/zh-cn/azure/ai-services/openai/reference
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azure_api_key = ""
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azure_base_url = ""
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azure_model_name = "gpt-35-turbo" # replace with your model deployment name
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azure_api_version = "2024-02-15-preview"
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########## Gemini API Key
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gemini_api_key = ""
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gemini_model_name = "gemini-1.0-pro"
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########## Qwen API Key
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# Visit https://dashscope.console.aliyun.com/apiKey to get your API key
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# Visit below links to get more details
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# https://tongyi.aliyun.com/qianwen/
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# https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction
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qwen_api_key = ""
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qwen_model_name = "qwen-max"
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########## DeepSeek API Key
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# Visit https://platform.deepseek.com/api_keys to get your API key
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deepseek_api_key = ""
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deepseek_base_url = "https://api.deepseek.com"
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deepseek_model_name = "deepseek-chat"
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# Subtitle Provider, "edge" or "whisper"
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# If empty, the subtitle will not be generated
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subtitle_provider = "edge"
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#
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# ImageMagick
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#
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# Once you have installed it, ImageMagick will be automatically detected, except on Windows!
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# On Windows, for example "C:\Program Files (x86)\ImageMagick-7.1.1-Q16-HDRI\magick.exe"
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# Download from https://imagemagick.org/archive/binaries/ImageMagick-7.1.1-29-Q16-x64-static.exe
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# imagemagick_path = "C:\\Program Files (x86)\\ImageMagick-7.1.1-Q16\\magick.exe"
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#
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# FFMPEG
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#
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# 通常情况下，ffmpeg 会被自动下载，并且会被自动检测到。
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# 但是如果你的环境有问题，无法自动下载，可能会遇到如下错误：
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# RuntimeError: No ffmpeg exe could be found.
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# Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.
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# 此时你可以手动下载 ffmpeg 并设置 ffmpeg_path，下载地址：https://www.gyan.dev/ffmpeg/builds/
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# Under normal circumstances, ffmpeg is downloaded automatically and detected automatically.
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# However, if there is an issue with your environment that prevents automatic downloading, you might encounter the following error:
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# RuntimeError: No ffmpeg exe could be found.
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# Install ffmpeg on your system, or set the IMAGEIO_FFMPEG_EXE environment variable.
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# In such cases, you can manually download ffmpeg and set the ffmpeg_path, download link: https://www.gyan.dev/ffmpeg/builds/
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# ffmpeg_path = "C:\\Users\\harry\\Downloads\\ffmpeg.exe"
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#########################################################################################
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# 当视频生成成功后，API服务提供的视频下载接入点，默认为当前服务的地址和监听端口
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# 比如 http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
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# 如果你需要使用域名对外提供服务（一般会用nginx做代理），则可以设置为你的域名
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# 比如 https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
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# endpoint="https://xxxx.com"
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# When the video is successfully generated, the API service provides a download endpoint for the video, defaulting to the service's current address and listening port.
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# For example, http://127.0.0.1:8080/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
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# If you need to provide the service externally using a domain name (usually done with nginx as a proxy), you can set it to your domain name.
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# For example, https://xxxx.com/tasks/6357f542-a4e1-46a1-b4c9-bf3bd0df5285/final-1.mp4
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# endpoint="https://xxxx.com"
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endpoint = ""
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# Video material storage location
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# material_directory = "" # Indicates that video materials will be downloaded to the default folder, the default folder is ./storage/cache_videos under the current project
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# material_directory = "/user/harry/videos" # Indicates that video materials will be downloaded to a specified folder
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# material_directory = "task" # Indicates that video materials will be downloaded to the current task's folder, this method does not allow sharing of already downloaded video materials
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# 视频素材存放位置
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# material_directory = "" #表示将视频素材下载到默认的文件夹，默认文件夹为当前项目下的 ./storage/cache_videos
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# material_directory = "/user/harry/videos" #表示将视频素材下载到指定的文件夹中
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# material_directory = "task" #表示将视频素材下载到当前任务的文件夹中，这种方式无法共享已经下载的视频素材
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material_directory = ""
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# Used for state management of the task
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enable_redis = false
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redis_host = "localhost"
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redis_port = 6379
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redis_db = 0
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redis_password = ""
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# 文生视频时的最大并发任务数
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max_concurrent_tasks = 5
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[whisper]
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# Only effective when subtitle_provider is "whisper"
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# Run on GPU with FP16
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# model = WhisperModel(model_size, device="cuda", compute_type="float16")
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# Run on GPU with INT8
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# model = WhisperModel(model_size, device="cuda", compute_type="int8_float16")
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# Run on CPU with INT8
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# model = WhisperModel(model_size, device="cpu", compute_type="int8")
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# recommended model_size: "large-v3"
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model_size = "large-v3"
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# if you want to use GPU, set device="cuda"
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device = "CPU"
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compute_type = "int8"
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[proxy]
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### Use a proxy to access the Pexels API
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### Format: "http://<username>:<password>@<proxy>:<port>"
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### Example: "http://user:pass@proxy:1234"
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### Doc: https://requests.readthedocs.io/en/latest/user/advanced/#proxies
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# http = "http://10.10.1.10:3128"
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# https = "http://10.10.1.10:1080"
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[azure]
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# Azure Speech API Key
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# Get your API key at https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/SpeechServices
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speech_key = ""
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speech_region = ""
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[siliconflow]
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# SiliconFlow API Key
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# Get your API key at https://siliconflow.cn
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api_key = ""
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[ui]
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# UI related settings
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# 是否隐藏日志信息
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# Whether to hide logs in the UI
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hide_log = false
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