Update app.py

app.py

@@ -13,11 +13,19 @@ MAX_SEED = np.iinfo(np.int32).max
 HF_TOKEN = "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"
 HF_TOKEN_UPSCALER = "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"
 
+HF_TOKEN = os.getenv('HF_TOKEN_UPSCALER')
+HF_TOKEN_UPSCALER = os.getenv('HF_TOKEN_UPSCALER')
+qwen_client = Client("K00B404/HugChatWrap",hf_token=HF_TOKEN)
+loaded_loras=[]
+for lora in loras:
+    print(lora.get('repo'))
+    loaded_loras.append(lora.get('repo'))
+    
 # Function to enable LoRA if selected
 def enable_lora(lora_add, basemodel):
-    print(f"[-] Menentukan model: LoRA {'diaktifkan' if lora_add else 'tidak diaktifkan'}, model dasar: {basemodel}")
+    print(f"[-] Determining model: LoRA {'enabled' if lora_add else 'disabled'}, base model: {basemodel}")
     return basemodel if not lora_add else lora_add
-
+    
 # Function to generate image
 async def generate_image(prompt, model, lora_word, width, height, scales, steps, seed):
     try: