smol ui changes

app.py

@@ -277,7 +277,7 @@ def process_and_display(
 css = """
 #col-container {
     margin: 0 auto;
-    max-width: 960px;
+    max-width: 800px;
 }
 """
 example = """
@@ -300,18 +300,18 @@ a photo of a person feeling terrified
 """
 with gr.Blocks(css=css) as demo:
         gr.Markdown(f"""# IP Composer 🌅✚🖌️
-### Compose new images with visual concepts
-Following the algorithm proposed in [*IP-Composer: Semantic Composition of Visual Concepts* by Dorfman et al.](https://arxiv.org/pdf/2502.13951)
-(Built on IP-Adapter)
+### compose new images with visual concepts extracted from refrence images using CLIP & IP Adapter
+
 
 #### 🛠️ How to Use:                                   
-#### 1. Upload a base image  
-#### 2. Upload 1–3 concept images  
-#### 3. Select a concept type to extract from each concept image:  
+1. Upload a base image  
+2. Upload 1–3 concept images   
+3. Select a **concept type** to extract from each concept image:  
     - Choose a **predefined concept type** from the dropdown (e.g. pattern, emotion, pose), **or**  
     - Upload a **file with text variations of your concept** (e.g. prompts from an LLM).  
         - 👉 If you're uploading a **new concept**, don't forget to **adjust the "rank" value** under **Advanced Options** for better results.
                     
+Following the algorithm proposed in IP-Composer: Semantic Composition of Visual Concepts by Dorfman et al.
 [[Project page](https://ip-composer.github.io/IP-Composer/)] [[arxiv](https://arxiv.org/pdf/2502.13951)]
         """)
         concpet_from_file_1 = gr.State()
@@ -462,7 +462,9 @@ Following the algorithm proposed in [*IP-Composer: Semantic Composition of Visua
             inputs=[concept_name3],
             outputs=[rank3]
         )
-    
-    
 
-demo.launch()
+if __name__ == "__main__":
+    demo.launch()
+
+
+