Update app.py

app.py

@@ -13,10 +13,13 @@ API_TOKEN = os.getenv("HF_READ_TOKEN")
 headers = {"Authorization": f"Bearer {API_TOKEN}"}
 timeout = 100
 
-def query(lora_id="ByteDance/Hyper-SD", prompt, is_negative=False, steps=28, cfg_scale=3.5, sampler="DPM++ 2M Karras", seed=-1, strength=0.7):
+def query(lora_id, prompt, is_negative=False, steps=28, cfg_scale=3.5, sampler="DPM++ 2M Karras", seed=-1, strength=0.7):
     if prompt == "" or prompt == None:
         return None
 
+    if lora_id.strip() == "" or lora_id == None:
+        lora_id = "ByteDance/Hyper-SD" 
+
     key = random.randint(0, 999)
 
     API_URL = "https://api-inference.huggingface.co/models/"+ lora_id
@@ -77,7 +80,7 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
                 with gr.Row():
                     text_prompt = gr.Textbox(label="Prompt", placeholder="Enter a prompt here", lines=2, elem_id="prompt-text-input")
                 with gr.Row():
-                    custom_lora = gr.Textbox(label="Custom LoRA", info="LoRA Hugging Face path", value="", placeholder="multimodalart/vintage-ads-flux")
+                    custom_lora = gr.Textbox(label="Custom LoRA", info="LoRA Hugging Face path", placeholder="multimodalart/vintage-ads-flux")
                 with gr.Row():
                     with gr.Accordion("Advanced Settings", open=False):
                         negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")