add comments

app.py

@@ -42,7 +42,8 @@ EXAMPLES = [
 TITLE = """<div align=left>
     <h1>🪂 Logikon <i>Guided Reasoning™️</i> Demo Chatbot</h1>
     </div>
-    <p>This is a TEMPLATE: ➡️ Duplicate this space and configure your own inference endpoints
+    <p>This is a <b>TEMPLATE</b>:<br/>
+    ➡️ Duplicate this space and configure your own inference endpoints
     in the <code>config.yaml</code> file to get started!</p>
     """
 
@@ -215,15 +216,15 @@ with gr.Blocks() as demo:
 
     if not client_kwargs["inference_server_url"]:
         gr.Markdown(
-            "⚠️ **Error:** Please set the client model inference endpoint in the config.yaml file."
+            "⚠️ **Error:** Please set the client model inference endpoint in the `config.yaml` file."
         )
     if not guide_kwargs["inference_server_url"]:
         gr.Markdown(
-            "⚠️ **Error:** Please set the expert model inference endpoint in the config.yaml file."
+            "⚠️ **Error:** Please set the expert model inference endpoint in the `config.yaml` file."
         )
     if not guide_kwargs["classifier_kwargs"]["inference_server_url"]:
         gr.Markdown(
-            "⚠️ **Error:** Please set the classifier model inference endpoint in the config.yaml file."
+            "⚠️ **Error:** Please set the classifier model inference endpoint in the `config.yaml` file."
         )
     
     # set up client and guide

config.yaml

@@ -7,7 +7,7 @@ client_llm:
 expert_llm:
   url: ""  # <-- start your own inference endpoint and provide url here (or use https://api-inference.huggingface.co/models/meta-llama/Meta-Llama-3-70B-Instruct)
   model_id: "meta-llama/Meta-Llama-3-70B-Instruct"
-  backend: HFChat
+  backend: HFChat  # <-- Currently supported: HFChat / VLLM / Fireworks
 classifier_llm:
   model_id: "MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli"
   url: ""  # <-- start your own inference endpoint of classifier model and provide url here