Update app.py

app.py

@@ -1,9 +1,17 @@
 # Load model directly
 import streamlit as st
-from transformers import AutoModel
-model,tokenizer = AutoModel.from_pretrained("shivam9980/mistral-7b-news")
-alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
 
+from unsloth import FastLanguageModel
+model, tokenizer = FastLanguageModel.from_pretrained(
+        model_name = "shivam9980/mistral-7b-news", # YOUR MODEL YOU USED FOR TRAINING
+        max_seq_length = 2048,
+        dtype = None,
+        load_in_4bit = True,)
+FastLanguageModel.for_inference(model) # Enable native 2x faster inference
+
+# alpaca_prompt = You MUST copy from above!
+
+alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
 ### Instruction:
 {}