GPT-4 Powered App Creation and Evals Hackathon

Start

TruEra Opening Words

Hackathon Guide and Lablab Platform Walk-through

OpenAI Workshop

Workshop - Retrieval Augmented Generation with Pinecone

Workshop - Advanced Evaluation Methods with TruLens

General Q&A session on Discord

Workshop - Make your app reliable, cost-efficient, and fast with Portkey

Submissions Deadline

GPTJaguar

Suthar_Deep

The code creates a Streamlit app for fashion inspiration. It imports libraries like Streamlit, PyTorch, OpenAI, PIL, Transformers, tqdm, and requests. PyTorch handles a pre-trained image captioning model. OpenAI is used for text generation. PIL is for image processing. Transformers integrate pre-trained models. tqdm displays progress bars, and requests handle HTTP requests.

The app lets users upload images. It uses the captioning model to generate descriptions for the images. Users can input their OpenAI API key to get AI-generated fashion suggestions based on the image descriptions. If enabled, the app uses OpenAI's text and image generation APIs to produce personalized fashion ideas and images.

This Streamlit app lets users upload images and generates captions using a pre-trained model. It can also create fashion ideas based on these captions, generating corresponding images using OpenAI's APIs.

Ai-Fashion-Suggestion

"GPTJaguar team on GPT-4 Powered App Creation and Evals Hackathon Hackathon"

Team Idea

Submission