Update app.py

app.py

@@ -2,49 +2,46 @@ import gradio as gr
 from gradio_client import Client
 import random
 import os
+import base64
+import mimetypes
 
-# API client for the external Space
 space_client = Client("prithivMLmods/Qwen-Image-Edit-2511-LoRAs-Fast")
 
 LORA_STYLES = [
-    'Multiple-Angles',
-    'Photo-to-Anime',
-    'Anime-V2',
-    'Light-Migration',
-    'Upscaler',
-    'Style-Transfer',
-    'Manga-Tone',
-    'Anything2Real',
-    'Fal-Multiple-Angles',
-    'Polaroid-Photo',
-    'Unblur-Anything',
-    'Midnight-Noir-Eyes-Spotlight',
-    'Hyper-Realistic-Portrait',
-    'Ultra-Realistic-Portrait',
-    'Pixar-Inspired-3D',
-    'Noir-Comic-Book',
-    'Any-light',
-    'Studio-DeLight',
-    'Cinematic-FlatLog',
+    'Multiple-Angles', 'Photo-to-Anime', 'Anime-V2', 'Light-Migration',
+    'Upscaler', 'Style-Transfer', 'Manga-Tone', 'Anything2Real',
+    'Fal-Multiple-Angles', 'Polaroid-Photo', 'Unblur-Anything',
+    'Midnight-Noir-Eyes-Spotlight', 'Hyper-Realistic-Portrait',
+    'Ultra-Realistic-Portrait', 'Pixar-Inspired-3D', 'Noir-Comic-Book',
+    'Any-light', 'Studio-DeLight', 'Cinematic-FlatLog',
 ]
 MAX_SEED = 2**31 - 1
 
 
 def encode_image_for_gallery(image_path):
-    """把本地文件路径转成 Gallery 期望的 dict 格式"""
+    """将图片转为 base64 data URL，嵌入 url 字段传给远端"""
     if not image_path or not isinstance(image_path, str):
         return None
     if not os.path.exists(image_path):
         print(f"文件不存在: {image_path}")
         return None
 
+    mime_type, _ = mimetypes.guess_type(image_path)
+    if not mime_type:
+        mime_type = "image/png"
+
+    with open(image_path, "rb") as f:
+        b64 = base64.b64encode(f.read()).decode("utf-8")
+
+    data_url = f"data:{mime_type};base64,{b64}"
+
     return {
         "image": {
-            "path": image_path,
-            "url": None,
+            "path": None,
+            "url": data_url,          # base64 嵌入这里
             "size": os.path.getsize(image_path),
             "orig_name": os.path.basename(image_path),
-            "mime_type": None,
+            "mime_type": mime_type,
             "is_stream": False,
             "meta": {}
         },
@@ -70,14 +67,10 @@ def infer(
                 obj = encode_image_for_gallery(im)
                 if obj:
                     images_input.append(obj)
-                else:
-                    print(f"警告: 路径无效或无法读取: {im}")
         else:
             obj = encode_image_for_gallery(image)
             if obj:
                 images_input.append(obj)
-            else:
-                print(f"警告: 路径无效或无法读取: {image}")
 
     if len(images_input) == 0:
         print("未检测到有效图片，请上传图片后再试。")
@@ -91,7 +84,6 @@ def infer(
     print(f"  prompt: {prompt}")
     print(f"  lora_adapter: {lora_adapter}")
     print(f"  seed: {seed}")
-    print(f"  randomize_seed: {randomize_seed}")
     print(f"  guidance_scale: {guidance_scale}")
     print(f"  steps: {steps}")
 
@@ -109,7 +101,6 @@ def infer(
 
         print(f"[调用API] 返回值: {result}")
 
-        # result 是 (image_dict, seed_float) 元组
         image_info, seed_used = result
 
         if isinstance(image_info, dict):
@@ -140,7 +131,6 @@ with gr.Blocks(css=css) as demo:
             label="上传图片",
             sources=["upload"],
             type="filepath",
-            elem_id="input-image"
         )
 
         prompt = gr.Text(