update app

app.py

@@ -5,15 +5,20 @@ from diffusers import DPMSolverMultistepScheduler
 pipeline = GlyffuserPipeline.from_pretrained("yuewu/glyffuser")
 pipeline.scheduler = DPMSolverMultistepScheduler()
 
-def infer(text):
+def infer(text, steps):
     generated_images = pipeline(
         text,
         batch_size=1,  # Generate one image at a time for each step
         # generator=torch.Generator(device='cuda').manual_seed(config.seed),  # Generator can be on GPU here
-        num_inference_steps=50
+        num_inference_steps=steps
     ).images
 
     return generated_images[0]
 
-demo = gr.Interface(fn=infer, inputs="text", outputs="image")
-demo.launch()
+demo = gr.Interface(
+    fn=infer, 
+    inputs=[gr.inputs.Textbox(label="Input Text"), gr.inputs.Slider(minimum=1, maximum=50, step=1, default=10, label="Inference Steps")], 
+    outputs=gr.outputs.Image(type="pil", label="Generated Image")
+)
+
+demo.launch()