Delete app.py

app.py

@@ -1,39 +0,0 @@
-   import os
-   import gradio as gr
-   from huggingface_hub import snapshot_download
-   import torch
-   from diffusers import FluxPipeline, FluxTransformer2DModel
-
-   # 安装依赖 (在 Space 启动时自动跑)
-   os.system("pip install huggingface-hub transformers diffusers accelerate safetensors torch gradio")
-
-   # 下载 PosterCraft 模型
-   model_dir = "models/postercraft/postercraft_rl"
-   hf_token = os.environ.get("HF_TOKEN")  # 从 Space secret 获取 Token
-   snapshot_download(repo_id="PosterCraft/PosterCraft-v1_RL", local_dir=model_dir, resume_download=True, token=hf_token)
-
-   # 加载模型 (官方方式, 需 Flux.1-dev 权限)
-   pipeline_id = "black-forest-labs/FLUX.1-dev"
-   dtype = torch.bfloat16
-   pipe = FluxPipeline.from_pretrained(pipeline_id, torch_dtype=dtype, token=hf_token) # 添加 token 认证
-   pipe.transformer = FluxTransformer2DModel.from_pretrained(model_dir, torch_dtype=dtype, token=hf_token) # 添加 token 认证
-   pipe.to("cuda" if torch.cuda.is_available() else "cpu")
-
-   # 生成函数
-   def generate_poster(prompt):
-       try:
-           image = pipe(prompt).images[0]
-           return image
-       except Exception as e:
-           return f"Error: {str(e)}"  # 错误处理，便于调试
-
-   # Gradio UI (自定义界面)
-   iface = gr.Interface(
-       fn=generate_poster,
-       inputs=gr.Textbox(label="海报描述", placeholder="例如: WTCC 世界网球洲际对抗赛海报, 现代风格, 蓝色调"),
-       outputs=gr.Image(label="生成海报"),
-       title="PosterCraft 海报生成系统",
-       description="输入海报描述生成高品质海报。基于 PosterCraft-v1_RL 模型。"
-   )
-
-   iface.launch()