Update app.py

app.py

@@ -7,13 +7,12 @@ import PyPDF2
 import streamlit as st
 
 # Function to extract text from PDF
-def extract_text_from_pdf(pdf_path):
+def extract_text_from_pdf(uploaded_file):
     pdf_text = ""
-    with open(pdf_path, "rb") as file:
-        reader = PyPDF2.PdfReader(file)
-        for page_num in range(len(reader.pages)):
-            page = reader.pages[page_num]
-            pdf_text += page.extract_text()
+    reader = PyPDF2.PdfReader(uploaded_file)
+    for page_num in range(len(reader.pages)):
+        page = reader.pages[page_num]
+        pdf_text += page.extract_text()
     return pdf_text
 
 # Initialize the tokenizer and model
@@ -34,7 +33,6 @@ prompt = """
 Based on the following context/document:
 {}
 Please answer the question: {}
-
 ### Response:
 {}
 """
@@ -63,7 +61,7 @@ def generate_answer(context, query):
 st.title("RAG-Based PDF Question Answering Application")
 
 # Upload PDF
-uploaded_file = st.file_uploader("monopoly.pdf", type="pdf")
+uploaded_file = st.file_uploader("Upload a PDF file", type="pdf")
 
 if uploaded_file is not None:
     # Extract text from the uploaded PDF