Update app.py

app.py

@@ -10,7 +10,7 @@ from transformers import pipeline  # Hugging Face pipeline for using T5 model
 
 
 # Access Hugging Face API token from Streamlit secrets
-hf_token = st.secrets["huggingface"]["HF_TOKEN"]
+
 
 # Function to get text from the PDF documents
 def get_pdf_text(pdf_docs):
@@ -48,7 +48,7 @@ def get_conversation_chain(vectorstore):
         "text2text-generation",
         model="t5-small",  # Smaller model for low-end systems
         tokenizer="t5-small",
-        use_auth_token=hf_token  # Automatically fetches the token from Streamlit secrets
+         # Automatically fetches the token from Streamlit secrets
     )
     
     llm = HuggingFacePipeline(pipeline=t5_model)