Update app.py

app.py

@@ -7,10 +7,10 @@ import torch
 import base64
 #import os
 #from dotenv import load_dotenv
-from huggingface_hub import HfApi
+#from huggingface_hub import HfApi
 
-api = HfApi()
-token = api.retrieve_token("secret_token")  # Replace with your secret name
+#api = HfApi()
+#token = api.retrieve_token("secret_token")  # Replace with your secret name
 
 #load_dotenv()
 #token = os.environ.get("HF_TOKEN")
@@ -18,11 +18,11 @@ token = api.retrieve_token("secret_token")  # Replace with your secret name
 
 
 
-checkpoint = "LaMini-Flan-T5-248M"
+checkpoint = "MBZUAI/LaMini-Flan-T5-248M"
 #model and tokenizer loading
 
-tokenizer = T5Tokenizer.from_pretrained(checkpoint, token=token)
-base_model = T5ForConditionalGeneration.from_pretrained(checkpoint, token=token, device_map='auto', torch_dtype=torch.float32, offload_folder='D:/project/offload')
+tokenizer = T5Tokenizer.from_pretrained(checkpoint)
+base_model = T5ForConditionalGeneration.from_pretrained(checkpoint, device_map='auto', torch_dtype=torch.float32, offload_folder='D:/project/offload')
 
 #file loader and preprocessing
 def file_preprocessing(file):