https://github.com/prithivsakthiur/imagegpt-4xl

Image Knowledge base / Idea / Problem Solve / Analysis
https://github.com/prithivsakthiur/imagegpt-4xl

gradio huggingface huggingface-transformers image instructor microsoft phi python question-answering

Last synced: 9 days ago
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Image Knowledge base / Idea / Problem Solve / Analysis

• Host: GitHub
• URL: https://github.com/prithivsakthiur/imagegpt-4xl
• Owner: PRITHIVSAKTHIUR
• Created: 2024-05-28T12:20:53.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-05-31T08:50:56.000Z (7 months ago)
• Last Synced: 2024-05-31T10:04:48.258Z (7 months ago)
• Topics: gradio, huggingface, huggingface-transformers, image, instructor, microsoft, phi, python, question-answering
• Language: Python
• Homepage: https://huggingface.co/spaces/prithivMLmods/ImageGPT-4XL
• Size: 819 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
---

title: ImageGPT 4XL

emoji: ☄️

colorFrom: pink

colorTo: gray

sdk: gradio

sdk_version: 4.31.5

app_file: app.py

pinned: true

license: creativeml-openrail-m

short_description: Analyze, solve, ask ..

---

![alt text](assets/25.png)

🚀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

![alt text](assets/11.png)

## 🌝The processed from the model

![alt text](assets/22.png)

## The examples given to the model: 

| ![Image 1](assets/images/1.png) | ![Image 2](assets/images/2.png) |

|---------------------------------|---------------------------------|

| ![Image 3](assets/images/3.png) | ![Image 4](assets/images/4.png) |

## Requirements.txt [ PyPI ]

    #flash_attn

    accelerate

    git+https://github.com/huggingface/transformers.git@main

    spaces

    torchvision

    Pillow

.

.

.