added token

.gitignore

@@ -1 +1,2 @@
 .venv
+predict.py

app.py

@@ -5,9 +5,10 @@ from normalizer import normalize
 
 
 def summarize(text):
-    model = AutoModelForSeq2SeqLM.from_pretrained("Afsara/csebuetnlp-banglat5")
+    model = AutoModelForSeq2SeqLM.from_pretrained(
+        "Afsara/csebuetnlp-banglat5", use_auth_token="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")
     tokenizer = AutoTokenizer.from_pretrained(
-        "Afsara/csebuetnlp-banglat5", use_fast=False)
+        "Afsara/csebuetnlp-banglat5", use_auth_token="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", use_fast=False)
 
     input_ids = tokenizer(normalize(text), return_tensors="pt").input_ids
     generated_tokens = model.generate(input_ids)