Update app.py

app.py

@@ -319,16 +319,16 @@ def merge_loop():
 
     # Get model name
     model_name = get_name(models, USERNAME, version=0)
-    print("="*20)
-    print(model_name)
+    print("="*60)
+    print(f"Model name: {model_name}")
 
     # Get model license
     license = get_license(models)
-    print(license)
+    print(f"License: {license}")
 
     # Merge configs
     yaml_config = create_config(models)
-    print(yaml_config)
+    print(f"YAML config:\n{yaml_config}")
 
     # Merge models
     merge_models()
@@ -360,14 +360,15 @@ sys.stdout = Logger("output.log")
 # Gradio interface
 title = """
 <div align="center">
-  <p style="font-size: 36px;">♾️ AutoMerger</p>
-  <p style="font-size: 20px;">📝 <a href="https://medium.com/towards-data-science/merge-large-language-models-with-mergekit-2118fb392b54">Model merging</a> • 💻 <a href="https://github.com/arcee-ai/mergekit">Mergekit</a> • 🐦 <a href="https://twitter.com/maximelabonne">Follow me on X</a></p>
+  <p style="font-size: 48px;">♾️ AutoMerger</p>
+  <p style="font-size: 20px;">📃 <a href="https://huggingface.co/automerger">Automerged models</a> • 📝 <a href="https://medium.com/towards-data-science/merge-large-language-models-with-mergekit-2118fb392b54">Article</a> • 🐦 <a href="https://twitter.com/maximelabonne">Follow me on X</a></p>
   <p><em>AutoMerger selects two 7B models on top of the Open LLM Leaderboard, combine them with a merge technique, and evaluate the resulting model.</em></p>
 </div>
 """
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
+css = ".flex-1 {background: #f9fafb;}"
+with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
     gr.Markdown(title)
-    logs = gr.Textbox()
+    logs = gr.Textbox(label="Logs")
     demo.load(read_logs, None, logs, every=1)
 demo.launch(server_name="0.0.0.0", prevent_thread_lock=True)