Update app.py

app.py

@@ -0,0 +1,17 @@
+import streamlit as st
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# Load the Llama 3.1 model and tokenizer
+model_name = "meta-llama/Meta-Llama-3.1-8B"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype="auto", device_map="auto")
+
+# Streamlit app interface
+st.title("Llama 3.1 Text Generator")
+prompt = st.text_area("Enter a prompt:", "Once upon a time")
+
+if st.button("Generate"):
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    outputs = model.generate(**inputs, max_length=512, top_p=0.9, temperature=0.8)
+    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    st.write(generated_text)