Update app.py

app.py

@@ -36,8 +36,8 @@ def predict(replicate_api, prompt, lora_id, lora_scale=0.95, aspect_ratio="1:1",
     }
 
     # If lora_id is provided, include it in the input
-    if lora_id:
-        input_params["hf_lora"] = lora_id
+    if lora_id and lora_id.strip()!="":
+        input_params["hf_lora"] = lora_id.strip()
         input_params["lora_scale"] = lora_scale
 
     try:
@@ -75,10 +75,10 @@ examples = [
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown("# FLUX Dev with LoRA Support using Replicate API")
+        gr.Markdown("# FLUX Dev with Replicate API")
         
-        replicate_api = gr.Text(label="Replicate API", show_label=True, max_lines=1, placeholder="Enter Replicate API", container=False)
-        prompt = gr.Text(label="Prompt", show_label=True, max_lines=4, show_copy_button = True, placeholder="Enter your prompt", container=False)
+        replicate_api = gr.Text(label="Replicate API", show_label=True, max_lines=1, placeholder="Enter Replicate API", container=True)
+        prompt = gr.Text(label="Prompt", show_label=True, max_lines=4, show_copy_button = True, placeholder="Enter your prompt", container=True)
         with gr.Accordion("Advanced Settings", open=False):
             with gr.Row():
                 custom_lora = gr.Textbox(label="Custom LoRA", info="LoRA Hugging Face path (optional)", placeholder="multimodalart/vintage-ads-flux")
@@ -105,7 +105,7 @@ with gr.Blocks(css=css) as demo:
                     label="Guidance Scale",
                     minimum=1,
                     maximum=15,
-                    step=0.1,
+                    step=0.01,
                     value=3.5,
                 )
                 num_inference_steps = gr.Slider(