Update app.py

app.py

@@ -21,7 +21,7 @@ pipeline = AutoPipelineForText2Image.from_pretrained(
 pipeline.scheduler = DDIMScheduler.from_config(pipeline.scheduler.config)
 
 pipeline.load_ip_adapter("h94/IP-Adapter", subfolder="sdxl_models", weight_name=["ip-adapter-plus_sdxl_vit-h.safetensors", "ip-adapter-plus-face_sdxl_vit-h.safetensors"])
-pipeline.set_ip_adapter_scale([0.7, 0.5])
+pipeline.set_ip_adapter_scale([soy_strength, anon_strength])
 
 pipeline.enable_model_cpu_offload()
 
@@ -56,10 +56,14 @@ def transform_image(face_image):
 # Gradio interface setup
 demo = gr.Interface(
     fn=transform_image,
-    inputs=gr.Image(label="Upload your face image"),
+    inputs=[
+        gr.Image(label="Upload your face image"),
+        gr.Slider(minimum=0, maximum=1, step=0.05, value=0.7, label="Soy Strength"),
+        gr.Slider(minimum=0, maximum=1, step=0.05, value=0.5, label="Face Strength")
+    ],
     outputs=gr.Image(label="Your Soyjak"),
     title="InstaSoyjak - turn anyone into a Soyjak",
-    description="All you need to do is upload an image. Please use responsibly. Please follow me on Twitter if you like this space: https://twitter.com/angrypenguinPNG. Idea from Yacine, please give him a follow: https://twitter.com/yacineMTB.",
+    description="All you need to do is upload an image. **Please use responsibly.** Please follow me on Twitter if you like this space: https://twitter.com/angrypenguinPNG. Idea from Yacine, please give him a follow: https://twitter.com/yacineMTB.",
 )
 
 demo.queue(max_size=20)  # Configures the queue with a maximum size of 20