Update app.py

app.py

@@ -13,8 +13,7 @@ from huggingface_hub import login
 from gradio_imageslider import ImageSlider
 
 MAX_SEED = np.iinfo(np.int32).max
-HF_TOKEN = os.environ.get("HF_TOKEN")
-HF_TOKEN_UPSCALER = os.environ.get("HF_TOKEN_UPSCALER")
+
 
 def enable_lora(lora_add, basemodel):
     return basemodel if not lora_add else lora_add
@@ -34,7 +33,7 @@ async def generate_image(prompt, model, lora_word, width, height, scales, steps,
 
 def get_upscale_finegrain(prompt, img_path, upscale_factor):
     try:
-        client = Client("finegrain/finegrain-image-enhancer", hf_token=HF_TOKEN_UPSCALER)
+        client = Client("finegrain/finegrain-image-enhancer", 
         result = client.predict(input_image=handle_file(img_path), prompt=prompt, negative_prompt="", seed=42, upscale_factor=upscale_factor, controlnet_scale=0.6, controlnet_decay=1, condition_scale=6, tile_width=112, tile_height=144, denoise_strength=0.35, num_inference_steps=18, solver="DDIM", api_name="/process")
         return result[1]
     except Exception as e: