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KyleHYX/AWSA

sourceHugging Faceupdated 2y agoView on Hugging Face

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App README

Waste Sorting Gradio Application

This project utilizes a Gradio interface to streamline waste classification using a YOLO object detection model and LLM based feedback. The interface gamifies the learning experience by identifying waste items from an uploaded image, allowing users to classify them into recyclable and non-recyclable categories, with immediate validation and engaging educational feedback.

Requirements

Environment:

—Python 3.7+
—OpenAI Python SDK version 0.28.

Dependencies:

—gradio
—numpy
—ultralytics
—openai
—Other standard Python libraries.

OpenAI API Key:

—Users must provide their own OpenAI API key by setting it in the environment variable OPENAIAPIKEY.

YOLO Model:

—Ensure the YOLO model weights file is located at the specified path: yolo11wastesorting/runs/detect/trainres640/weights/best.onnx.

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