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🌟 Revolutionize Your Operations with One Sentence Automation: Utilizing large language models and Multi-Agents to generate operational copy, images, and videos with one-line requirements.

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xuyuan23/operateGPT

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🚀🚀Experience Now!!

🔥🔥Latest Release Version:V0.0.1

🔥🔥Multi-Models Management

Using large language models and multi-agent technology, a single request can automatically generate marketing copy, images, and videos, and with one click, can be sent to multiple platforms, achieving a rapid transformation in marketing operations.

OperateGPT Process

Supported LLMs

LLMSupportedModel TypeNotes
ChatGPT✅ProxyDefault
Bard✅Proxy
Vicuna-13b✅Local Model
Vicuna-13b-v1.5✅Local Model
Vicuna-7b✅Local Model
Vicuna-7b-v1.5✅Local Model
ChatGLM-6B✅Local Model
ChatGLM2-6B✅Local Model
baichuan-13b✅Local Model
baichuan2-13b✅Local Model
baichuan-7b✅Local Model
baichuan2-7b✅Local Model
Qwen-7b-ChatComing soonLocal Model

Supported Embedding Models

LLMSupportedNotes
sentence-transformers✅Default
text2vec-large-chinese✅
m3e-large✅
bge-large-en✅
bge-large-zh✅

Installation

Firstly, download and install the relevant LLMs.

mkdir models & cd models# Size: 522 MBgit lfs install git clone https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2# [Optional]# Size: 94 GB, supported run in cpu model(RAM>14 GB). stablediffusion-proxy service is recommended, https://github.com/xuyuan23/stablediffusion-proxygit lfs install git clone https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0# [Optional]# Size: 16 GB, supported run in cpu model(RAM>16 GB). Text2Video service is recommended. https://github.com/xuyuan23/Text2Videogit lfs installgit clone https://huggingface.co/cerspense/zeroscope_v2_576w

Then, download dependencies and launch your project.

yum install gcc-c++pip install -r requirements.txt# copy file `.env.template` to new file `.env`, and modify the params in `.env`.cp .env.template .env [Options]# deploy stablediffusion service, if StableDiffusion proxy is used, no need to execute it!python operategpt/providers/stablediffusion.py[Options]# deploy Text2Video service, if Text2Video proxy server is used, no need to execute it!python operategpt/providers/text2video.py# Quick trial: two params: idea and language, `en is default`, also supported zh(chinese).python main.py "Prepare a travel plan to Australia" "en"

Configuration

  • By default, ChatGPT is used as the LLM, and you need to configure theOPEN_AI_KEY in.env
OPEN_AI_KEY=sk-xxx# If you don't deploy stable diffusion service, no image will be generated.SD_PROXY_URL=127.0.0.1:7860# If you don't deploy Text2Video service, no videos will be generated.T2V_PROXY_URL=127.0.0.1:7861
  • More Details see file.env.template

Generated DEMOs

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🌟 Revolutionize Your Operations with One Sentence Automation: Utilizing large language models and Multi-Agents to generate operational copy, images, and videos with one-line requirements.

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