Update app.py

app.py

@@ -21,9 +21,13 @@ pipe = GlmImagePipeline.from_pretrained(
 
 
 @spaces.GPU(duration=120)
-def infer(prompt, input_images=None, seed=42, randomize_seed=False, width=1024, height=1024, 
-          num_inference_steps=50, guidance_scale=1.5, progress=gr.Progress(track_tqdm=True)):
+def infer(prompt, seed=42, guidance_scale=1.5):
     """Main inference function"""
+    randomize_seed=False
+    width=1024
+    height=1024
+    input_images=None
+    num_inference_steps=50
     print("Randomizing seed")
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
@@ -199,7 +203,7 @@ GLM-Image is a hybrid auto-regressive + diffusion 9B parameters model by z.ai
     gr.on(
         triggers=[run_button.click, prompt.submit],
         fn=infer,
-        inputs=[prompt, input_images, seed, randomize_seed, width, height, num_inference_steps, guidance_scale],
+        inputs=[prompt, seed, guidance_scale],
         outputs=[result, seed]
     )