README.md

metadata

title: DV CON design contest
sdk: gradio
app_file: app.py
pinned: false

DV CON design contest

This is a simple Proof of Concept for task-based object detection on PC (CPU-first), intended as a functional baseline before FPGA deployment work.

Pipeline:

1. Capture or upload an image in Gradio.
2. Run YOLOv5n detection using Ultralytics.
3. Encode the user task prompt and detected object labels using msmarco-MiniLM-L6-v3.
4. Compute cosine similarity and highlight the closest object.

Setup

pip install -r requirements.txt

Run

python app.py

Open:

• http://127.0.0.1:7860

Example prompt

• I need to sit

Deploy To Hugging Face Spaces

1. Create a new Space in your Hugging Face account.
2. Choose Gradio SDK.
3. Set the Space name you want (for example: dv-con-design-contest).
4. Push this project to that Space repository.

Quick git flow:

git init
git add .
git commit -m "Initial DV CON design contest app"
git remote add origin https://huggingface.co/spaces/<your-username>/<your-space-name>
git push -u origin main

After push, Hugging Face builds automatically and hosts your app.