Update app.py

app.py

@@ -6,7 +6,7 @@ import spaces
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
 DESCRIPTION = """\
-# Llama-3.1-70B
+# Llama backend
 
 This is a demo of text completion with AI LLM's.
 
@@ -33,7 +33,7 @@ def generate(
     message: str,
     max_new_tokens: int = 1024,
     temperature: float = 0.6,
-    top_p: float = 0.0,
+    top_p: float = 0.1,
     top_k: int = 50,
     repetition_penalty: float = 1.2,
 ) -> Iterator[str]:
@@ -87,10 +87,10 @@ with gr.Blocks(css="style.css", fill_height=True) as demo:
             )
             temperature = gr.Slider(
                 label="Temperature",
-                minimum=0.0,
+                minimum=0.1,
                 maximum=1.0,
                 step=0.1,
-                value=0.0,
+                value=0.1,
             )
             top_p = gr.Slider(
                 label="Top-p (nucleus sampling)",