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49 lines
3.5 KiB
TOML
49 lines
3.5 KiB
TOML
# bilive Settings
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[model]
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model_type = "append" # Can be pipeline, append, merge
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# WARNING!: If you choose "deploy" local inference:
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# 1. Please check the VRAM requirements twice!
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# 2. Please make sure you have installed the Nvidia GPU driver and can check the cuda via `nvcc -V`!
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# WARNING!: If you choose "api":
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# due to the limitation of free tier, you should keep every video less than 30 minutes(around)
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# which means your MODEL_TYPE should not be "merge".
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[asr]
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asr_method = "none" # can be "deploy" or "api" or "none"
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whisper_api_key = "" # Apply for your own API key at https://console.groq.com/keys
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inference_model = "small" # If you choose "deploy", you should download the inference model from https://openaipublic.azureedge.net/main/whisper/models/9ecf779972d90ba49c06d968637d720dd632c55bbf19d441fb42bf17a411e794/small.pt
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[video]
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# You can change the title as you like, eg.
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# f"{artist}直播回放-{date}-{title}" - Streamer直播回放-20250328-Live title
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# f"{date}-{artist}直播回放" - 20250328-Streamer直播回放
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title = "{artist}直播回放-{date}-{title}" # Key words: {artist}, {date}, {title}, {source_link}
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description = "{artist}直播回放，直播间地址：{source_link} 内容仅供娱乐，直播中主播的言论、观点和行为均由主播本人负责，不代表录播员的观点或立场。" # Key words: {artist}, {date}, {title}, {source_link}
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gift_price_filter = 1 # The gift whose price is less than this value will be filtered, unit: RMB
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reserve_for_fixing = false # If encounter MOOV crash error, delete the video or reserve for fixing
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upload_line = "auto" # The upload line to be used, default None is auto detect(recommended), if you want to specify, it can be "bldsa", "ws", "tx", "qn", "bda2".
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[slice]
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auto_slice = false # General control: true or false
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slice_duration = 60 # better not exceed 300 seconds
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slice_num = 2 # the number of slices
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slice_overlap = 30 # the overlap of slices(seconds) see my package https://github.com/timerring/auto-slice-video for more details
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slice_step = 1 # the step of slices(seconds)
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min_video_size = 200 # The minimum video size to be sliced (MB)
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mllm_model = "gemini" # the multi-model LLMs, can be "gemini" or "zhipu" or "qwen"
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zhipu_api_key = "" # Apply for your own GLM-4v-Plus API key at https://www.bigmodel.cn/invite?icode=shBtZUfNE6FfdMH1R6NybGczbXFgPRGIalpycrEwJ28%3D
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gemini_api_key = "" # Apply for your own Gemini API key at https://aistudio.google.com/app/apikey
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qwen_api_key = "" # Apply for your own Qwen API key at https://bailian.console.aliyun.com/?apiKey=1
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[cover]
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generate_cover = false # whether to generate cover
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image_gen_model = "minimax" # the image generation model, can be "minimax" or "siliconflow" or "tencent" or "baidu" or "stability" or "luma" or "ideogram"
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minimax_api_key = "" # Apply for your own Minimax API key at https://platform.minimaxi.com/user-center/basic-information/interface-key
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siliconflow_api_key = "" # Apply for your own SiliconFlow API key at https://cloud.siliconflow.cn/i/3Szr5BVg
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tencent_secret_id = "" # Apply for your own Tencent Cloud API key at https://console.cloud.tencent.com/cam/capi
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tencent_secret_key = "" # Apply for your own Tencent Cloud secret key as above
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baidu_api_key = "" # Apply for your own Baidu API key at https://console.bce.baidu.com/iam/key/list
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stability_api_key = "" # Apply for your own Stability API key at https://platform.stability.ai/account/keys
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luma_api_key = "" # Apply for your own Luma API key at https://lumalabs.ai/api/keys
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ideogram_api_key = "" # Apply for your own Ideogram API key at https://ideogram.ai/manage-api
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