Update app.py

app.py

@@ -7,7 +7,7 @@ from PIL import Image
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_id = "alibaba-pai/pai-diffusion-food-large-zh"
 
-pipe_text2img = LDMZhTextToImagePipeline.from_pretrained(model_id, use_auth_token="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")
+pipe_text2img = LDMZhTextToImagePipeline.from_pretrained(model_id)
 pipe_text2img = pipe_text2img.to(device)
 
 def infer_text2img(prompt, guide, steps):
@@ -17,12 +17,11 @@ def infer_text2img(prompt, guide, steps):
 
 with gr.Blocks() as demo:
     examples = [
-                ["番茄炒蛋"], 
                 ["小炒黄牛肉"], 
-                ["蛋炒饭"],
+                ["韩式炸鸡"]
                 ]
     with gr.Row():
-        with gr.Column(scale=1, ):
+        with gr.Column(scale=0.5, ):
             image_out = gr.Image(label = '输出(output)')
         with gr.Column(scale=1, ):
             prompt = gr.Textbox(label = '提示词(prompt)')