Removed use of varaible "init_model_required" to init model.

Previously used a variable "init_model_required" that makes sure the model is loaded and init only once. Was getting an error " local variable 'init_model_required' referenced before assignment". So removed the use of the variable.

app.py

@@ -1,6 +1,6 @@
 from transformers import Blip2ForConditionalGeneration
 from transformers import Blip2Processor
-from peft import PeftModel, PeftConfig
+from peft import PeftModel
 import streamlit as st
 from PIL import Image
 import torch
@@ -9,22 +9,22 @@ preprocess_ckp = "Salesforce/blip2-opt-2.7b" #Checkpoint path used for perproces
 base_model_ckp = "/model/blip2-opt-2.7b-fp16-sharded" #Base model checkpoint path
 peft_model_ckp = "/model/blip2_peft" #PEFT model checkpoint path
         
-init_model_required = True
+#init_model_required = True
 processor = None
 model = None
 
 def init_model():
 
-    if init_model_required:
+    #if init_model_required:
 
-        #Preprocess input 
-        processor = Blip2Processor.from_pretrained(preprocess_ckp)
+    #Preprocess input 
+    processor = Blip2Processor.from_pretrained(preprocess_ckp)
 
-        #Model        
-        model = Blip2ForConditionalGeneration.from_pretrained(base_model_ckp, load_in_8bit = True, device_map = "auto")
-        model = PeftModel.from_pretrained(model, peft_model_ckp)
+    #Model        
+    model = Blip2ForConditionalGeneration.from_pretrained(base_model_ckp, load_in_8bit = True, device_map = "auto")
+    model = PeftModel.from_pretrained(model, peft_model_ckp)
 
-        init_model_required = False
+        #init_model_required = False