Update ig.py

ig.py

@@ -1,10 +1,13 @@
 from transformers import AutoProcessor, AutoModelForCausalLM
 import gradio as gr
 import torch
+from transformers import AutoAdapterModel, AutoTokenizer
 
-# Load the processor and model
+model_name = "./" 
+model = AutoAdapterModel.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
 processor = AutoProcessor.from_pretrained("microsoft/git-base")
-model = AutoModelForCausalLM.from_pretrained("./")
+
 
 def predict(image):
     try: