| from fastai.vision.all import * | |
| import gradio as gr | |
| # 載入模型 | |
| learn = load_learner('gender_model.pkl') | |
| # 分類標籤 | |
| labels = learn.dls.vocab | |
| # 預測函式 | |
| def classify_image(img): | |
| pred, idx, probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| # 建立 Gradio 介面 | |
| demo = gr.Interface( | |
| fn=classify_image, | |
| inputs=gr.Image(type="pil"), | |
| outputs=gr.Label(num_top_classes=4), | |
| title="性別平等影像分類器", | |
| description="上傳一張職業相關圖片，模型會預測其屬於哪一類：女性醫護、男性醫護、女性工程師或男性工程師。" | |
| ) | |
| # 啟動應用 | |
| demo.launch() | |