Update app.py

app.py

@@ -1,8 +1,7 @@
 import gradio as gr
-from gradio_client import Client
+from gradio_client import Client, handle_file
 import random
 import os
-import base64
 
 # API client for the external Space
 space_client = Client("prithivMLmods/Qwen-Image-Edit-2511-LoRAs-Fast")
@@ -28,23 +27,15 @@ LORA_STYLES = [
     'Studio-DeLight',
     'Cinematic-FlatLog',
 ]
-MAX_SEED = 2**32 - 1
+MAX_SEED = 2**31 - 1
 
 def encode_image_to_gallery_dict(image_path):
-    """
-    Read image file and encode as a dictionary suitable for the Hugging Face Space GalleryData API.
-    It must be {"image": {"data": <base64 str>}} for image input.
-    """
     if not image_path or not isinstance(image_path, str):
         return None
     try:
-        with open(image_path, "rb") as f:
-            img_bytes = f.read()
-            b64_str = base64.b64encode(img_bytes).decode("utf-8")
-        # API expects: {"image": {"data": <base64 str>}}
-        return {"image": {"data": b64_str}}
+        return {"image": handle_file(image_path), "caption": None}
     except Exception as e:
-        print(f"无法读取图片或编码失败: {image_path}: {e}")
+        print(f"无法读取图片: {image_path}: {e}")
         return None
 
 def infer(
@@ -82,7 +73,7 @@ def infer(
         seed = random.randint(0, MAX_SEED)
 
     print("[调用API] space_client.predict 输入参数：")
-    print(f"  images (base64 bytes): {[len(i['image']['data']) for i in images_input]}")
+    print(f"  images count: {len(images_input)}")
     print(f"  prompt: {prompt}")
     print(f"  lora_adapter: {lora_adapter}")
     print(f"  seed: {seed}")