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/TaskMatrixor
Install via npx
npx @hexmos/ipm i chenfei-wu/TaskMatrixPrerequisites
Python
languageVersion: 3.8.10 or later
pip
package_managerPackage installer for Python.
git
system_toolVersion: 2.34.1 or later
CUDA
system_packageNVIDIA CUDA toolkit for GPU acceleration.
cuDNN
system_packageNVIDIA 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_cpuInstall and run TaskMatrix using pip
pip install -r requirements.txt
python visual_chatgpt.py --load ImageCaptioning_cpu,Text2Image_cpuInstall 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_cpuPost 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`
