• [2023.03.21] We build MM-REACT, a system paradigm that integrates ChatGPT with a pool of vision experts to achieve multimodal reasoning and action.
• [2023.03.21] Feel free to explore various demo videos on our website!
• [2023.03.21] Try our live demo!

MM-REACT allocates specialized vision experts with ChatGPT to solve challenging visual understanding tasks through multimodal reasoning and action.

• To enable the image as input, we simply use the file path as the input to ChatGPT. The file path functions as a placeholder, allowing ChatGPT to treat it as a black box.
• Whenever a specific property, such as celebrity names or box coordinates, is required, ChatGPT is expected to seek help from a specific vision expert to identify the desired information.
• The expert output is serialized as text and combined with the input to further activate ChatGPT.
• If no external experts are needed, we directly return the response to the user.

MM-REACT code is bases on langchain.

Please refer to langchain for instructions on installation and documentation.

pip install PIL imagesize

1. Computer Vision service, for Tags, Objects, Faces and Celebrity.

export IMUN_URL="https://yourazureendpoint.cognitiveservices.azure.com/vision/v3.2/analyze"
export IMUN_PARAMS="visualFeatures=Tags,Objects,Faces"
export IMUN_CELEB_URL="https://yourazureendpoint.cognitiveservices.azure.com/vision/v3.2/models/celebrities/analyze"
export IMUN_CELEB_PARAMS=""
export IMUN_SUBSCRIPTION_KEY=

2. Computer Vision service for dense captioning. With a potentially different subscription key (e.g. westus region supports this)

export IMUN_URL2="https://yourazureendpoint.cognitiveservices.azure.com/computervision/imageanalysis:analyze"
export IMUN_PARAMS2="api-version=2023-02-01-preview&model-version=latest&features=denseCaptions"
export IMUN_SUBSCRIPTION_KEY2=

3. Form Recogizer (OCR) prebuilt services

export IMUN_OCR_READ_URL="https://yourazureendpoint.cognitiveservices.azure.com/formrecognizer/documentModels/prebuilt-read:analyze"
export IMUN_OCR_RECEIPT_URL="https://yourazureendpoint.cognitiveservices.azure.com/formrecognizer/documentModels/prebuilt-receipt:analyze"
export IMUN_OCR_BC_URL="https://yourazureendpoint.cognitiveservices.azure.com/formrecognizer/documentModels/prebuilt-businessCard:analyze"
export IMUN_OCR_LAYOUT_URL="https://yourazureendpoint.cognitiveservices.azure.com/formrecognizer/documentModels/prebuilt-layout:analyze"
export IMUN_OCR_PARAMS="api-version=2022-08-31"
export IMUN_OCR_SUBSCRIPTION_KEY=

4. Bing search service

export BING_SEARCH_URL="https://api.bing.microsoft.com/v7.0/search"
export BING_SUBSCRIPTION_KEY=

5. Bing visual search service (available on a separate pricing)

export BING_VIS_SEARCH_URL="https://api.bing.microsoft.com/v7.0/images/visualsearch"
export BING_SUBSCRIPTION_KEY_VIS=

6. Azure OpenAI service

export OPENAI_API_TYPE=azure
export OPENAI_API_VERSION=2022-12-01
export OPENAI_API_BASE=https://yourazureendpoint.openai.azure.com/
export OPENAI_API_KEY=

Note: At the time of writing, we use and test against private endpoint. The public endpoint is now released and we plan to add support for it later.

7. Photo editting local service

export PHOTO_EDIT_ENDPOINT_URL="http://127.0.0.1:123/"
export PHOTO_EDIT_ENDPOINT_URL_SHORT=127.0.0.1

conversational-assistant sample

We are highly inspired by langchain.

@article{yang2023mmreact,
  author      = {Zhengyuan Yang* and Linjie Li* and Jianfeng Wang* and Kevin Lin* and Ehsan Azarnasab* and Faisal Ahmed* and Zicheng Liu and Ce Liu and Michael Zeng and Lijuan Wang^},
  title       = {MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action},
  publisher   = {arXiv},
  year        = {2023},
}

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