Create app.py

app.py

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+import gradio as gr
+import cv2
+import numpy as np
+
+def merge_images(background, foreground, prefix):
+    # 转换图片为 OpenCV 格式
+    bg_img = cv2.cvtColor(np.array(background), cv2.COLOR_RGB2BGR)
+    fg_img = cv2.cvtColor(np.array(foreground), cv2.COLOR_RGB2BGRA)  # 保留透明通道
+    
+    # 合成到左侧 (x=100, y=50)
+    bg_img = overlay_image(bg_img, fg_img, 100, 50)
+    # 合成到右侧 (x=300, y=50)
+    bg_img = overlay_image(bg_img, fg_img, 300, 50)
+    
+    # 返回合成后的图片
+    result = cv2.cvtColor(bg_img, cv2.COLOR_BGR2RGB)
+    return result
+
+def overlay_image(bg, fg, x, y):
+    alpha = fg[:, :, 3] / 255.0
+    for c in range(3):
+        bg[y:y+fg.shape[0], x:x+fg.shape[1], c] = \
+            alpha * fg[:, :, c] + (1 - alpha) * bg[y:y+fg.shape[0], x:x+fg.shape[1], c]
+    return bg
+
+# 构建 Gradio 界面
+with gr.Blocks() as demo:
+    gr.Markdown("## 🖼️ 图片合成工具（左右双位置）")
+    with gr.Row():
+        bg_input = gr.Image(label="上传背景图", type="pil")
+        fg_input = gr.Image(label="上传前景图（PNG透明背景）", type="pil")
+    prefix_input = gr.Textbox(label="文件名前缀", value="slide")
+    btn = gr.Button("合成图片")
+    output_image = gr.Image(label="结果预览")
+
+    btn.click(
+        fn=merge_images,
+        inputs=[bg_input, fg_input, prefix_input],
+        outputs=output_image
+    )
+
+demo.launch()