Update app_v2.py

app_v2.py

@@ -16,6 +16,7 @@ from peft import PeftModel, PeftConfig
 import gradio as gr
 
 huggingface_token = os.getenv("HUGGINFACE_TOKEN")
+sys_prompt = os.getenv("SYS")
 MAX_SEED = 1000000
 MODEL_PATH = "fancyfeast/llama-joycaption-beta-one-hf-llava"
 cap_processor = AutoProcessor.from_pretrained(MODEL_PATH)
@@ -181,7 +182,7 @@ with gr.Blocks(title="FLUX Turbo Upscaler", fill_height=True) as iface:
         with gr.Accordion("Generation settings", open=False):
             system_prompt = gr.Textbox(
                 lines=4, 
-                value="Write a straightforward caption for this image. Begin with the main subject and medium. Mention pivotal elements—people, objects, scenery—using confident, definite language. Focus on concrete details like color, shape, texture, and spatial relationships. Show how elements interact. Omit mood and speculative wording. If text is present, quote it exactly. Note any watermarks, signatures, or compression artifacts. Never mention what's absent, resolution, or unobservable details. Vary your sentence structure and keep the description concise, without starting with 'This image is…' or similar phrasing.",
+                value=sys_prompt,
                 label="System Prompt for Captioning",
                 visible=True  # Changed to visible
             )