Update app.py

app.py

@@ -3,10 +3,16 @@ import spaces
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-model_path = 'LLM4Binary/llm4decompile-6.7b-v2' # V2 Model
+model_path = 'LLM4Binary/llm4decompile-1.3b-v2' # V2 Model
 tokenizer = AutoTokenizer.from_pretrained(model_path)
 model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=torch.bfloat16).cuda()
 
+description = """
+# LLM4Decompile 1.3B V2
+
+This is a space for testing the [LLM4Decompile 1.3B V2 model](https://huggingface.co/LLM4Binary/llm4decompile-1.3b-v2).  It expects to be given a decompiled function output by Ghidra.  I simply copy and paste from the Ghidra GUI, but this is not the method recommended by the official model page, so YMMV.
+"""
+
 @spaces.GPU
 def predict(input_asm):
     before = f"# This is the assembly code:\n"#prompt