Update app.py

app.py

@@ -6,22 +6,12 @@ import PyPDF2
 import docx2txt
 import huggingface_hub
 
+# Available backend options are: "jax", "tensorflow", "torch".
 import os
-os.environ['KERAS_BACKEND'] = 'tensorflow'
-os.environ['HF_USERNAME'] = 'Grey01'
+os.environ["KERAS_BACKEND"] = "tensorflow"
 
 
-
-from huggingface_hub import whoami
-
-# Get the username
-hf_username = whoami()['name']
-
-# Define the model repository
-model_repo = f'{hf_username}/bart_billsum'
-
-# Load the Keras NLP model
-bart_billsum = keras_nlp.models.BartSeq2SeqLM.from_preset(model_repo)
+bart_billsum = keras_nlp.models.BartSeq2SeqLM.from_preset("hf://Grey01/bart_billsum")
 
 st.title("SummarizeIt")