Update app.py

app.py

@@ -1,14 +1,16 @@
-# app.py
+import os
 import gradio as gr
 import pdfplumber
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-# Load the model
 model_name = "ibm-granite/granite-docling-258m-demo"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
 
-# Function to extract text from PDF
+# Use the Hugging Face token stored in Secrets
+hf_token = os.environ.get("HF_HUB_TOKEN")
+
+tokenizer = AutoTokenizer.from_pretrained(model_name, use_auth_token=hf_token)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name, use_auth_token=hf_token)
+
 def extract_text_from_pdf(pdf_file):
     text = ""
     with pdfplumber.open(pdf_file.name) as pdf:
@@ -18,7 +20,6 @@ def extract_text_from_pdf(pdf_file):
                 text += page_text + "\n"
     return text
 
-# Function to generate JSON from text
 def pdf_to_json(pdf_file):
     text = extract_text_from_pdf(pdf_file)
     inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=2048)
@@ -26,7 +27,6 @@ def pdf_to_json(pdf_file):
     result = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return result
 
-# Gradio interface
 interface = gr.Interface(
     fn=pdf_to_json,
     inputs=gr.File(file_types=[".pdf"]),