add preset for vsf

app.py

@@ -79,7 +79,30 @@ with open("sample_prompts.json", "r") as f:
 def load_sample():
     sample = np.random.choice(sample_prompts)
     return sample['prompt'], sample['missing_element']
-    
+
+from openai import OpenAI
+
+client = OpenAI(
+  base_url="https://openrouter.ai/api/v1",
+  api_key=os.environ.get("or", None),
+)
+
+
+# def rephrase_prompt(pos_prompt, neg_prompt):
+#     completion = client.chat.completions.create(
+#     extra_headers={
+#         "HTTP-Referer": "<YOUR_SITE_URL>", # Optional. Site URL for rankings on openrouter.ai.
+#         "X-Title": "<YOUR_SITE_NAME>", # Optional. Site title for rankings on openrouter.ai.
+#     },
+#     extra_body={},
+#     model="qwen/qwen3-vl-235b-a22b-instruct",
+#     messages=[
+#         {
+#         "role": "user",
+#         "content": "Repahrase the following prompt to one sentence for positive prompt and a few words for negative prompt.\n\nOriginal Prompt: {}\n\nNegative Element: {}. \n make sure the generated prompt follows the positive-negative prompt pair, do not mention the negative prompt in positive one".format(pos_prompt, neg_prompt)
+#         }
+#     ]
+#     )
 
 with gr.Blocks(title="Value Sign Flip SD3.5 Demo") as demo:
     gr.Markdown("# Value Sign Flip SD3.5 Demo \n\n This demo is based on SD3.5-L-Turbo model and uses Value Sign Flip technique to generate videos with different guidance scales and biases. More on [GitHub](https://github.com/weathon/VSF/blob/main/wan.md)\n\nPositive prompt should be at least 1 sentence long or the results will be weird.")
@@ -89,6 +112,7 @@ with gr.Blocks(title="Value Sign Flip SD3.5 Demo") as demo:
         pos = gr.Textbox(label="Positive Prompt", value="A polished bicycle frame leans against a weathered brick wall under soft morning light.")
         neg = gr.Textbox(label="Negative Prompt", value="wheels")
         sample = gr.Button("Load A Sample Prompt")
+        # rephase = gr.Button("Rephrase Prompt") 
         sample.click(fn=load_sample, inputs=[], outputs=[pos, neg])
 
     with gr.Row():
@@ -97,6 +121,10 @@ with gr.Blocks(title="Value Sign Flip SD3.5 Demo") as demo:
         bias = gr.Slider(0, 0.5, step=0.01, label="Bias", value=0.1)
         step = gr.Slider(4, 15, step=1, label="Step", value=8)
         seed = gr.Number(label="Seed", value=0, precision=0)
+        set_strong_vsf = gr.Button("Set to VSF Strong Settings")
+        set_strong_vsf.click(fn=lambda : (3.8, 0.2), inputs=[], outputs=[guidance, bias])
+        set_mild_vsf = gr.Button("Set to VSF Quality Settings")
+        set_mild_vsf.click(fn=lambda : (3.3, 0.2), inputs=[], outputs=[guidance, bias])
 
     with gr.Row():
         gr.Markdown("## NAG Generation Parameters")