Use free API endpoint for background removal tool (no authentication required)

- Switch to remove_background_from_file_free endpoint
- Remove auth headers and credentials from API call

apps/jingrow/frontend/src/views/tools/remove_background/remove_background.vue

@@ -560,25 +560,13 @@ const handleRemoveBackground = async () => {
   resultImage.value = ''
 
   try {
-    const reader = new FileReader()
+    const formData = new FormData()
-    const base64Promise = new Promise<string>((resolve, reject) => {
+    formData.append('file', uploadedImage.value)
-      reader.onload = (e) => {
-        const result = e.target?.result as string
-        resolve(result)
-      }
-      reader.onerror = reject
-    })
-    reader.readAsDataURL(uploadedImage.value)
-    const base64Data = await base64Promise
 
     const response = await axios.post(
-      '/jingrow.tools.remove_background.remove_background.remove_background_from_file',
+      '/jingrow.tools.remove_background.remove_background.remove_background_from_file_free',
+      formData,
       {
-        image_data: base64Data
-      },
-      {
-        headers: get_session_api_headers(),
-        withCredentials: true,
         timeout: 180000
       }
     )

apps/jingrow/jingrow/tools/remove_background/remove_background.py

@@ -1,9 +1,8 @@
 # Copyright (c) 2025, JINGROW and contributors
 # For license information, please see license.txt
 
-import base64
 import requests
-from typing import Dict, Any, Union
+from typing import Dict, Any
 import logging
 import io
 
@@ -137,13 +136,13 @@ def remove_background_from_file_free(file) -> Dict[str, Any]:
 
 
 @jingrow.whitelist()
-def remove_background_from_file(image_data: Union[str, list]) -> Dict[str, Any]:
+def remove_background_from_file(file) -> Dict[str, Any]:
     """
     图片去背景工具
     调用 Jingrow Cloud API 实现图片背景移除
     
     Args:
-        image_data: Base64编码的图片数据（data:image/开头）
+        file: 上传的文件对象（multipart/form-data）
     
     Returns:
         dict: 处理结果
@@ -158,41 +157,37 @@ def remove_background_from_file(image_data: Union[str, list]) -> Dict[str, Any]:
                 "error": "API密钥未设置，请在设置中配置 Jingrow Cloud Api Key 和 Jingrow Cloud Api Secret"
             }
         
-        # 处理单个数据
+        # 读取文件内容
-        if isinstance(image_data, list):
+        file.file.seek(0)
-            image_data = image_data[0] if image_data else None
+        file_content = file.file.read()
         
-        if not image_data:
+        if not file_content or len(file_content) == 0:
             return {
                 "success": False,
-                "error": "未提供图片数据"
+                "error": "文件内容为空"
             }
         
-        # 提取base64部分
+        # 获取文件扩展名和内容类型
-        if ',' in image_data:
+        filename = getattr(file, 'filename', None) or 'image.png'
-            header, base64_content = image_data.split(',', 1)
+        ext = filename.split('.')[-1].lower() if '.' in filename else 'png'
-            if 'png' in header:
+        if ext == 'jpg':
-                ext = 'png'
+            ext = 'jpg'
-                content_type = 'image/png'
+            content_type = 'image/jpeg'
-            elif 'jpeg' in header or 'jpg' in header:
+        elif ext == 'jpeg':
-                ext = 'jpg'
+            ext = 'jpg'
-                content_type = 'image/jpeg'
+            content_type = 'image/jpeg'
-            elif 'webp' in header:
+        elif ext == 'png':
-                ext = 'webp'
+            ext = 'png'
-                content_type = 'image/webp'
+            content_type = 'image/png'
-            else:
+        elif ext == 'webp':
-                ext = 'png'
+            ext = 'webp'
-                content_type = 'image/png'
+            content_type = 'image/webp'
         else:
-            base64_content = image_data
             ext = 'png'
             content_type = 'image/png'
         
-        # 解码base64数据
-        image_bytes = base64.b64decode(base64_content)
-        
         # 处理EXIF orientation
-        image = Image.open(io.BytesIO(image_bytes))
+        image = Image.open(io.BytesIO(file_content))
         image = ImageOps.exif_transpose(image)
         output = io.BytesIO()
         save_format = image.format or content_type.split('/')[-1].upper()