Update app.py

app.py

@@ -28,7 +28,7 @@ Converted from [SoteMix](https://huggingface.co/Disty0/SoteMix) to [LCM_SoteMix]
 
 [LCM Project page](https://latent-consistency-models.github.io)
 
-<p>Running on CPU with OpenVINO.</p>
+<p>Running on CPU with OpenVINO acceleration</p>
 '''
 
 MAX_SEED = np.iinfo(np.int32).max
@@ -39,7 +39,6 @@ batch_size = -1
 width = int(os.getenv("IMAGE_WIDTH", "512"))
 height = int(os.getenv("IMAGE_HEIGHT", "512"))
 num_images = int(os.getenv("NUM_IMAGES", "1"))
-guidance_scale = float(os.getenv("GUIDANCE_SCALE", "1.0"))
 
 class CustomOVModelVaeDecoder(OVModelVaeDecoder):
     def __init__(
@@ -142,6 +141,13 @@ with gr.Blocks(css="style.css") as demo:
             randomize=True
         )
         randomize_seed = gr.Checkbox(label="Randomize seed across runs", value=True)
+        guidance_scale = gr.Slider(
+                label="Guidance scale for base",
+                minimum=1,
+                maximum=8,
+                step=0.1,
+                value=1.0,
+            )
         with gr.Row():
             num_inference_steps = gr.Slider(
                 label="Number of inference steps for base",