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chore: import upstream snapshot with attribution
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TOML

# 说明:
# 1. 主依赖来源统一收敛到 pyproject.toml。
# 2. 运行环境通过 uv.lock 固定,避免不同机器解析出不同版本组合。
[build-system]
requires = ["hatchling>=1.27.0"]
build-backend = "hatchling.build"
[project]
name = "moneyprinterturbo"
version = "1.3.2"
description = "Generate short videos from prompts, local assets, subtitles, and TTS."
readme = "README-en.md"
requires-python = ">=3.11"
license = { text = "MIT" }
dependencies = [
"moviepy==2.2.1",
"streamlit==1.59.1",
"streamlit-tour==1.1.0",
"edge-tts==7.2.7",
"fastapi==0.136.3",
"uvicorn==0.32.1",
"openai==2.24.0",
"faster-whisper==1.1.0",
"loguru==0.7.3",
"dashscope==1.20.14",
"azure-cognitiveservices-speech==1.41.1",
"redis==5.2.0",
"python-multipart==0.0.27",
"pyyaml==6.0.3",
"requests==2.33.1",
"socksio==1.0.0",
"pydub==0.25.1",
"audioop-lts==0.2.2; python_version >= '3.13'",
"litellm==1.86.2",
"google-genai==2.11.0",
]
[project.optional-dependencies]
# Optional TwelveLabs (https://twelvelabs.io) video-understanding/embedding
# integration. Only needed when `twelvelabs_api_keys` is configured; install
# with `uv sync --extra twelvelabs`.
twelvelabs = [
"twelvelabs>=1.2.8",
]
[tool.hatch.build.targets.wheel]
packages = ["app"]
[tool.uv]
# 当前项目以应用运行形态为主,不作为可发布的 Python 包安装。
package = false