fix error

check_app.py

@@ -89,27 +89,23 @@ def generate_image_with_progress(pipe, prompt, num_steps, guidance_scale=None, s
     return image
 
 @spaces.GPU(duration=170)
-def create_pipeline_logic(model_name, config):
-    def start_process(prompt_text):
-        print(f"starting {model_name}")
-        progress = gr.Progress()
-        num_steps = 30
-        guidance_scale = 7.5  # Example guidance scale, can be adjusted per model
-        seed = 42
-
-        pipe_class = config["pipeline_class"]
-        pipe = pipe_class.from_pretrained(
-            config["repo_id"],
-            #cache_dir=config["cache_dir"],
-            torch_dtype=torch.bfloat16
-        ).to("cuda")
-        image = generate_image_with_progress(
-            pipe, prompt_text, num_steps=num_steps, guidance_scale=guidance_scale, seed=seed, progress=progress
-        )
-        return f"Seed: {seed}", image
-
-    return start_process
-
+def create_pipeline_logic(prompt_text, model_name, config):
+    print(f"starting {model_name}")
+    progress = gr.Progress()
+    num_steps = 30
+    guidance_scale = 7.5  # Example guidance scale, can be adjusted per model
+    seed = 42
+    
+    pipe_class = config["pipeline_class"]
+    pipe = pipe_class.from_pretrained(
+        config["repo_id"],
+        #cache_dir=config["cache_dir"],
+        torch_dtype=torch.bfloat16
+    ).to("cuda")
+    image = generate_image_with_progress(
+        pipe, prompt_text, num_steps=num_steps, guidance_scale=guidance_scale, seed=seed, progress=progress
+    )
+    return f"Seed: {seed}", image
 
 def main():
     with gr.Blocks() as app:
@@ -123,8 +119,7 @@ def main():
                 output = gr.Textbox(label="Status")
                 img = gr.Image(label=model_name, height=300)
 
-                start_process = create_pipeline_logic(model_name, config)
-                button.click(fn=start_process, inputs=[prompt_text], outputs=[output, img])
+                button.click(fn=create_pipeline_logic, inputs=[prompt_text, model_name, config], outputs=[output, img])
 
     app.launch()