Update app.py

app.py

@@ -0,0 +1,21 @@
+import torch
+from transformers import LLaMAForConditionalGeneration, LLaMATokenizer
+import gradio as gr
+
+model = LLaMAForConditionalGeneration.from_pretrained("meta-llama/llama-3-1-405b")
+tokenizer = LLaMATokenizer.from_pretrained("meta-llama/llama-3-1-405b")
+
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    output = model.generate(**inputs)
+    return tokenizer.decode(output, skip_special_tokens=True)
+
+demo = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="LLaMA Text Generation",
+    description="Enter a prompt to generate text using the LLaMA model."
+)
+
+demo.launch()