title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned	license	short_description
ImageGPT 4XL	☄️	pink	gray	gradio	4.31.5	app.py	true	creativeml-openrail-m	Analyze, solve, ask ..

🚀Check out the configuration reference at : https://huggingface.co/docs/hub/spaces-config-reference

🚀Huggingface space : https://huggingface.co/spaces/prithivMLmods/ImageGPT-4XL

🚀The GitHub Model Workspace :

1. Install the client if you don't already have it installed.

$ pip install gradio_client

2. Find the API endpoint below corresponding to your desired function in the app. Copy the code snippet, replacing the placeholder values with your own input data. If this is a private Space, you may need to pass your Hugging Face token as well (read more). Or

to automatically generate your API requests.
api_name: /chat

from gradio_client import Client

client = Client("prithivMLmods/ImageGPT-4XL")
result = client.predict(
		message={"text":"","files":[]},
		api_name="/chat"
)
print(result)

Accepts 1 parameter:

message Dict(text: str, files: List[filepath]) Default: {"text":"","files":[]}

The input value that is provided in the "parameter_1" Multimodaltextbox component.
Returns 1 element

Dict(text: str, files: List[filepath])

The output value that appears in the "value_1" Multimodaltextbox component.

🌚The image given to the gpt to process

🌝The processed from the model

The examples given to the model:

Requirements.txt [ PyPI ]

#flash_attn
accelerate
git+https://github.com/huggingface/transformers.git@main
spaces
torchvision
Pillow

.

.

.