Create app.py
Browse files
app.py
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import gradio as gr
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from transformers import AutoModelForImageSegmentation
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import torch
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from torchvision import transforms
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from PIL import Image
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import io
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# --- 1. 初始化模型 (只會在啟動時執行一次) ---
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model_id = "briaai/RMBG-2.0"
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print(f"正在載入模型: {model_id} ...")
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try:
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# 載入模型到 CPU (Hugging Face Free Tier 只有 CPU)
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model = AutoModelForImageSegmentation.from_pretrained(model_id, trust_remote_code=True)
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device = torch.device("cpu") # 強制使用 CPU
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model.to(device)
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model.eval() # 設定為評估模式
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print("模型載入成功！")
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except Exception as e:
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print(f"模型載入失敗: {e}")
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# --- 2. 定義圖像處理邏輯 ---
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def process_image(input_image):
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if input_image is None:
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return None
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# 紀錄原始尺寸
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orig_w, orig_h = input_image.size
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# 準備輸入 (RMBG 2.0 建議尺寸為 1024x1024)
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transform_image = transforms.Compose([
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transforms.Resize((1024, 1024)),
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transforms.ToTensor(),
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transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
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])
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input_tensor = transform_image(input_image).unsqueeze(0).to(device)
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# 推理 (Inference)
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with torch.no_grad():
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preds = model(input_tensor)[0][0]
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# 還原到原始尺寸
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preds = torch.nn.functional.interpolate(preds, size=(orig_h, orig_w), mode='bilinear', align_corners=False)
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preds = torch.sigmoid(preds)
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# 處理遮罩
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mask = preds.squeeze().cpu().numpy()
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# 轉回 PIL Image
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mask_img = Image.fromarray((mask * 255).astype('uint8'), mode='L')
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# 合成去背圖
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output_img = input_image.convert("RGBA")
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output_img.putalpha(mask_img)
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return output_img
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# --- 3. 設定 PWA 與手機優化 HTML ---
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# 這些標籤會讓網頁在「加入主畫面」後變成全螢幕 APP
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pwa_header = """
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<head>
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<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
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<meta name="apple-mobile-web-app-capable" content="yes">
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<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
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<meta name="theme-color" content="#0b0f19">
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<title>AI 去背神器</title>
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<style>
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/* 隱藏 Gradio 預設的頁尾，讓畫面更乾淨 */
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footer {display: none !important;}
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.gradio-container {min-height: 100vh !important;}
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</style>
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</head>
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"""
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# --- 4. 建立 Gradio 介面 ---
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with gr.Blocks(head=pwa_header, theme=gr.themes.Soft()) as app:
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gr.Markdown(
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"""
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# ✂️ AI 自動去背 (RMBG 2.0)
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上傳照片，自動去除背景。
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"""
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)
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with gr.Row():
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# 手機上通常是直向排列，Gradio 會自動響應
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with gr.Column():
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input_img = gr.Image(type="pil", label="點擊上傳或拍照", sources=["upload", "clipboard"])
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btn = gr.Button("開始去背", variant="primary", size="lg")
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with gr.Column():
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output_img = gr.Image(type="pil", label="去背結果 (長按儲存)", format="png", show_download_button=True)
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# 按鈕事件
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btn.click(fn=process_image, inputs=input_img, outputs=output_img)
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# 啟動應用
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if __name__ == "__main__":
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app.launch()
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