Update app.py

app.py

@@ -72,17 +72,17 @@ def generate_optimized_prompt(api_key, api_base, user_input):
 
 def generate_fake_stream(image_url, optimized_prompt):
     chunks = [
-        "I'm generating an optimized prompt based on your input...",
-        f"Optimized prompt: {optimized_prompt}",
-        "Now generating an image based on the optimized prompt...",
-        "The image is being processed...",
-        "Almost there...",
-        f"Image generated successfully! Here it is:\n\n![Generated Image]({image_url})"
+        "𝓝𝓸𝔀 𝓖𝓮𝓷𝓮𝓻𝓪𝓽𝓲𝓷𝓰...\n�正�在�根�据�您�的�输�入�生�成�优�化�提�示�词...\n",
+        f"🎨 优化后的提示词：\n{optimized_prompt}\n",
+        "🖼️ 【正】【在】【根】【据】【优】【化】【后】【的】【提】【示】【词】【生】【成】【图】【像】...\n",
+        "🔄 ｛图｝｛像｝｛正｝｛在｝｛处｝｛理｝｛中｝...\n",
+        "⏳ 『即』『将』『完』『成』...\n",
+        f"✨ 𝓰𝓮𝓷𝓮𝓻𝓪𝓽𝓮𝓭 𝓼𝓾𝓬𝓬𝓮𝓼𝓼𝓯𝓾𝓵𝓵𝔂！\n图像生成成功！以下是结果：\n\n![生成的图像]({image_url})"
     ]
     
     for i, chunk in enumerate(chunks):
         yield f"data: {json.dumps({'id': f'chatcmpl-{int(time.time())}', 'object': 'chat.completion.chunk', 'created': int(time.time()), 'model': 'flux-ai-image-generator', 'choices': [{'index': 0, 'delta': {'role': 'assistant' if i == 0 else None, 'content': chunk}, 'finish_reason': None if i < len(chunks) - 1 else 'stop'}]})}\n\n"
-        time.sleep(1)  # Simulate processing time
+        time.sleep(0.5)  # 模拟处理时间
     
     yield "data: [DONE]\n\n"