Update app.py

app.py

@@ -1,22 +1,26 @@
 import gradio as gr
-from gradio_client import Client, handle_file
+from gradio_client import Client
 import numpy as np
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
 
-
-flux_1_schell_spaces = ["https://black-forest-labs-flux-1-schnell.hf.space", "ChristianHappy/FLUX.1-schnell", "innoai/FLUX.1-schnell", "tuan2308/FLUX.1-schnell", "FiditeNemini/FLUX.1-schnell"]
-# flux_1_schnell_space = "https://black-forest-labs-flux-1-schnell.hf.space"
+flux_1_schell_spaces = [
+    "https://black-forest-labs-flux-1-schnell.hf.space",
+    "ChristianHappy/FLUX.1-schnell",
+    "innoai/FLUX.1-schnell",
+    "tuan2308/FLUX.1-schnell",
+    "FiditeNemini/FLUX.1-schnell"
+]
 
 client = None
 job = None
 
-
-def infer(selected_space, prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
+def infer(selected_space, prompt, seed=42, randomize_seed=False, width=1024, height=1024, 
+          num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
     global job
     global client
-
+    
     if client is None:
         try:
             client = Client(selected_space)
@@ -25,7 +29,7 @@ def infer(selected_space, prompt, seed=42, randomize_seed=False, width=1024, hei
             client = None
             print(f"Failed to load custom model from {selected_space}: {e}")
             raise gr.Error("Failed to load client after trying all spaces.")
-        
+            
     try:
         job = client.submit(
             prompt=prompt,
@@ -40,16 +44,15 @@ def infer(selected_space, prompt, seed=42, randomize_seed=False, width=1024, hei
     except ValueError as e:
         client = None
         raise gr.Error(e)
-    
     return result
- 
+
 examples = [
     "a tiny astronaut hatching from an egg on the moon",
     "a cat holding a sign that says hello world",
     "an anime illustration of a wiener schnitzel",
 ]
 
-css="""
+css = """
 #col-container {
     margin: 0 auto;
     max-width: 520px;
@@ -57,12 +60,14 @@ css="""
 """
 
 with gr.Blocks(css=css) as demo:
-    selected_space_index = gr.State(0);
+    selected_space_index = gr.State(0)
     
     with gr.Column(elem_id="col-container"):
-        
-        space = gr.Radio(flux_1_schell_spaces, label="Choose Your Flux Model", value=flux_1_schell_spaces[0])
-     
+        space = gr.Radio(
+            flux_1_schell_spaces,
+            label="Choose Your Flux Model",
+            value=flux_1_schell_spaces[0]
+        )
         
         with gr.Row():
             prompt = gr.Text(
@@ -72,13 +77,11 @@ with gr.Blocks(css=css) as demo:
                 placeholder="Enter your prompt",
                 container=False,
             )
-            
             run_button = gr.Button("Run", scale=0)
-        
+            
         result = gr.Image(label="Result", show_label=False)
         
         with gr.Accordion("Advanced Settings", open=False):
-            
             seed = gr.Slider(
                 label="Seed",
                 minimum=0,
@@ -86,11 +89,9 @@ with gr.Blocks(css=css) as demo:
                 step=1,
                 value=0,
             )
-            
             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
             
             with gr.Row():
-                
                 width = gr.Slider(
                     label="Width",
                     minimum=256,
@@ -98,7 +99,6 @@ with gr.Blocks(css=css) as demo:
                     step=32,
                     value=1024,
                 )
-                
                 height = gr.Slider(
                     label="Height",
                     minimum=256,
@@ -106,10 +106,8 @@ with gr.Blocks(css=css) as demo:
                     step=32,
                     value=1024,
                 )
-            
-            with gr.Row():
                 
-  
+            with gr.Row():
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,
@@ -117,23 +115,29 @@ with gr.Blocks(css=css) as demo:
                     step=1,
                     value=4,
                 )
-
-
+                
+        gr.Examples(
+            examples=examples,
+            fn=infer,
+            inputs=[selected_space_index, prompt],
+            outputs=[selected_space_index, space, result, seed],
+            cache_examples="lazy"
+        )
         
-         gr.Examples(
-             examples = examples,
-             fn = infer,
-             inputs = [selected_space_index, prompt],
-             outputs = [selected_space_index, space, result, seed],
-             cache_examples="lazy"
-         )
-
-    gr.on(
-        triggers=[run_button.click, prompt.submit],
-        fn = infer,
-        inputs = [space, prompt, seed, randomize_seed, width, height, num_inference_steps],
-        outputs = [result, seed]
-    )
+        gr.on(
+            triggers=[run_button.click, prompt.submit],
+            fn=infer,
+            inputs=[
+                space,
+                prompt,
+                seed,
+                randomize_seed,
+                width,
+                height,
+                num_inference_steps
+            ],
+            outputs=[result, seed]
+        )
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