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How to install chenfei-wu/TaskMatrix. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.

chenfei-wu/TaskMatrix Installation Guide

How to install chenfei-wu/TaskMatrix. Official project installation instructions and setup guide.

Automated Install (Recommended)

Quick installation instructions for chenfei-wu/TaskMatrix. This is the fastest way to complete project installation and setup.

Install via curl

curl -fsSL https://hexmos.com/ipm-install | bash && 
ipm i chenfei-wu/TaskMatrix
or

Install via npx

npx @hexmos/ipm i chenfei-wu/TaskMatrix

Prerequisites

Python

language

Version: 3.8.10 or later

pip

package_manager

Package installer for Python.

git

system_tool

Version: 2.34.1 or later

CUDA

system_package

NVIDIA CUDA toolkit for GPU acceleration.

cuDNN

system_package

NVIDIA cuDNN library for deep learning.

Manual Installation Methods

Manual installation instructions. How to install from GitHub source.

Clone the repository and activate environment

git clone https://github.com/microsoft/TaskMatrix.git

cd visual-chatgpt

conda create -n visgpt python=3.8

conda activate visgpt

pip install -r requirements.txt

pip install  git+https://github.com/IDEA-Research/GroundingDINO.git

pip install  git+https://github.com/facebookresearch/segment-anything.git

export OPENAI_API_KEY={Your_Private_Openai_Key}

python visual_chatgpt.py --load ImageCaptioning_cpu,Text2Image_cpu

Install and run TaskMatrix using pip

pip install -r requirements.txt

python visual_chatgpt.py --load ImageCaptioning_cpu,Text2Image_cpu

Install and run TaskMatrix using conda

conda create -n visgpt python=3.8

conda activate visgpt

pip install -r requirements.txt

python visual_chatgpt.py --load ImageCaptioning_cpu,Text2Image_cpu

Post Installation Steps

  • Open your terminal and navigate to the project directory using the command `cd <path/to/project>`.
  • Run the following command to start the server: `python app.py`
  • If you're using a virtual environment, activate it before running the application: `source <virtual_env_name>/bin/activate`