Update app.py

app.py

@@ -1,17 +1,29 @@
 import streamlit as st
 from transformers import AutoTokenizer, AutoModelForCausalLM
+import bitsandbytes as bnb
+import torch
 
-# Load the model and tokenizer
+# Load the model and tokenizer with 4-bit quantization
 @st.cache_resource
 def load_model():
-    tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-7B")
-    model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B")
+    tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen-7B")
+    model = AutoModelForCausalLM.from_pretrained(
+        "Qwen/Qwen-7B",
+        load_in_4bit=True,
+        device_map="auto",
+        quantization_config=bnb.QuantizationConfig(
+            load_in_4bit=True,
+            bnb_4bit_use_double_quant=True,
+            bnb_4bit_quant_type="nf4",
+            bnb_4bit_compute_dtype=torch.float16
+        )
+    )
     return tokenizer, model
 
 tokenizer, model = load_model()
 
 # Streamlit app UI
-st.title("Qwen-7B Text Generation")
+st.title("Qwen-7B Text Generation with 4-bit Quantization")
 
 # Text input
 user_input = st.text_area("Enter your text:")