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Being towards death

Heed not to the tree-rustling and leaf-lashing rain, Why not stroll along, whistle and sing under its rein. Lighter and better suited than horses are straw sandals and a bamboo staff, Who's afraid? A palm-leaf plaited cape provides enough to misty weather in life sustain. A thorny spring breeze sobers up the spirit, I feel a slight chill, The setting sun over the mountain offers greetings still. Looking back over the bleak passage survived, The return in time Shall not be affected by windswept rain or shine.
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MoneyPrinterTurbo GitHub 17.5k Star One-click to generate your AI video content

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This post is translated from Chinese into English through AI.View Original
AI-generated summary
Using MoneyPrinterTurbo is straightforward for programmers. To get started, clone the project from GitHub, modify the configuration file by copying and renaming `config.example.toml` to `config.toml`, and set up the necessary API keys. For large language models, an OpenAI API key is required for GPT-4.0 or GPT-3.5, or you can use the free GPT library g4f. Docker users can easily start the container to access the web interface and API, while manual deployment is also supported with detailed instructions for creating a Python virtual environment and installing necessary tools. For an online experience, visit the Chinese version at https://reccloud.cn or the project page at https://github.com/harry0703/MoneyPrinterTurbo.

How to Use

For programmers, using MoneyPrinterTurbo is very simple.

You can quickly get started with the following steps: Clone the project: git clone https://github.com/harry0703/MoneyPrinterTurbo Modify the configuration file: Copy config.example.toml and rename it to config.toml, and configure pexels_api_keys and llm_provider as instructed. Configure the Large Language Model (LLM): Using GPT-4.0 or GPT-3.5 requires an OpenAI API Key; if you don't have one, you can use the free GPT library g4f. For Docker users, starting the container and accessing the web interface and API is also easy. For manual deployment, the project also provides detailed steps, including creating a Python virtual environment, installing ImageMagick, and starting the web interface and API service.

Online Experience
Chinese Version: https://reccloud.cn Project Address: https://github.com/harry0703/MoneyPrinterTurbo

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