Rahul-V-004/FashionVision-AI ? reverse-engineered prompt

Build me a simple fashion classification app that lets someone upload a clothing photo and get useful predictions back right away.

I want a Django API that can load a trained PyTorch model and return the item’s predicted color, product type, season, and gender from an image. It should also have a small info endpoint that confirms the model is working. Then make a Streamlit web app on top of it so I can upload an image, send it to the API, and see the results in a clean, easy to read page.

Please wire it up so it works with the model files already in the project, and make sure image uploads like JPG, PNG, and JPEG work smoothly. If you need to check current docs for Django, Streamlit, or PyTorch, go ahead and look them up online. I’d like this to feel ready to run locally with clear setup and minimal fuss.