Update app.py

app.py

@@ -54,7 +54,7 @@ def respond(
     print("Latest user message appended.")
 
     # If user provided a model, use that; otherwise, fall back to a default model
-    model_to_use = custom_model.strip() if custom_model.strip() != "" else "meta-llama/Llama-3.3-70B-Instruct"
+    model_to_use = custom_model.strip() if custom_model.strip() != "" else "meta-llama/Llama-3.1-8B-Instruct"
     print(f"Model selected for inference: {model_to_use}")
 
     # Start with an empty string to build the response as tokens stream in
@@ -123,10 +123,10 @@ seed_slider = gr.Slider(
 
 # The custom_model_box is what the respond function sees as "custom_model"
 custom_model_box = gr.Textbox(
-    value="",
+    value="meta-llama/Llama-3.2-3B-Instruct",
     label="Custom Model",
     info="(Optional) Provide a custom Hugging Face model path. Overrides any selected featured model.",
-    placeholder="meta-llama/Llama-3.3-70B-Instruct"
+    placeholder="meta-llama/Llama-3.2-3B-Instruct"
 )
 
 def set_custom_model_from_radio(selected):
@@ -196,8 +196,8 @@ with demo:
         featured_model_radio = gr.Radio(
             label="Select a model below",
             choices=models_list,
-            value="meta-llama/Llama-3.3-70B-Instruct",
-            interactive=True
+            value="meta-llama/Llama-3.2-3B-Instruct",
+            interactive=False
         )
         print("Featured models radio button created.")