Update app.py

app.py

@@ -0,0 +1,32 @@
+import streamlit as st
+from transformers import pipeline
+import requests
+from PyPDF2 import PdfReader
+
+# Load Hugging Face Question Answering model
+qa_pipeline = pipeline("question-answering", model="distilbert-base-cased-distilled-squad")
+
+# Function to download and extract text from PDF
+def extract_text_from_huggingface_pdf(url):
+    response = requests.get(url)
+    with open("document.pdf", "wb") as f:
+        f.write(response.content)
+    pdf_reader = PdfReader("document.pdf")
+    text = ""
+    for page in pdf_reader.pages:
+        text += page.extract_text() + "\n"
+    return text
+
+# Hugging Face URL 
+PDF_URL = "https://huggingface.co/spaces/SujathaL/AWS_Restart_Program_Chatbot/blob/main/AWS%20restart%20program%20information.docx.pdf"
+pdf_text = extract_text_from_huggingface_pdf(PDF_URL)
+
+# Streamlit UI
+st.title("Chat with Your PDF")
+
+# User Question Input
+question = st.text_input("Ask a question about the PDF:")
+
+if st.button("Get Answer") and question:
+    response = qa_pipeline(question=question, context=pdf_text)
+    st.write("Answer:", response['answer'])