Spaces:
Paused
Paused
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import streamlit as st
|
2 |
+
from PyPDF2 import PdfReader
|
3 |
+
import io
|
4 |
+
|
5 |
+
# Mock function for answering questions from the PDF
|
6 |
+
# Replace this with your actual backend function
|
7 |
+
def answer_question_from_pdf(pdf_text, question):
|
8 |
+
# This function should return the answer to the question based on the PDF content
|
9 |
+
# Here we just return a mock response
|
10 |
+
return f"Answer to your question: '{question}' based on the PDF content."
|
11 |
+
|
12 |
+
# Function to extract text from PDF
|
13 |
+
def extract_text_from_pdf(pdf_file):
|
14 |
+
pdf_reader = PdfReader(pdf_file)
|
15 |
+
pdf_text = ""
|
16 |
+
for page_num in range(len(pdf_reader.pages)):
|
17 |
+
pdf_text += pdf_reader.pages[page_num].extract_text()
|
18 |
+
return pdf_text
|
19 |
+
|
20 |
+
# Streamlit app
|
21 |
+
st.title("PDF Explorer")
|
22 |
+
|
23 |
+
# File uploader
|
24 |
+
uploaded_file = st.file_uploader("Upload a PDF", type="pdf")
|
25 |
+
|
26 |
+
if uploaded_file is not None:
|
27 |
+
# Extract text from uploaded PDF
|
28 |
+
pdf_text = extract_text_from_pdf(uploaded_file)
|
29 |
+
|
30 |
+
st.write("PDF Uploaded Successfully.")
|
31 |
+
|
32 |
+
# Text area for entering a question
|
33 |
+
question = st.text_input("Ask a question about the PDF")
|
34 |
+
|
35 |
+
if st.button("Get Answer"):
|
36 |
+
if question:
|
37 |
+
# Get the answer from the backend
|
38 |
+
answer = answer_question_from_pdf(pdf_text, question)
|
39 |
+
st.write("Answer:", answer)
|
40 |
+
else:
|
41 |
+
st.write("Please enter a question.")
|
42 |
+
else:
|
43 |
+
st.write("Please upload a PDF file.")
|