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| import warnings | |
| warnings.filterwarnings("ignore") | |
| import streamlit as st | |
| from PyPDF2 import PdfReader | |
| from concurrent.futures import ThreadPoolExecutor | |
| from base64 import b64encode | |
| from fpdf import FPDF | |
| import io, string, re, math | |
| from io import StringIO | |
| from pathlib import Path | |
| from streamlit_pdf_viewer import pdf_viewer | |
| _here = Path(__file__).parent | |
| # Importing the Fastify Class | |
| from fast_reader import Fastify_Reader | |
| def pdf_extract_text(pdf_docs): | |
| ''' | |
| Basic function for extracting text from the PDFs | |
| ''' | |
| text = "" | |
| for pdf in pdf_docs: | |
| pdf_reader = PdfReader(pdf) | |
| for page in pdf_reader.pages: | |
| text += page.extract_text() | |
| return text | |
| def text_to_pdf_fastify(txt): | |
| ''' | |
| Basic function to apply fastification on the input text and convert it to bytes for PDF rendering | |
| ''' | |
| text = (txt + '.')[:-1] | |
| # Applying the Fastify Logic | |
| bold_text = Fastify_Reader(text).fastify() | |
| bold_text = bold_text.encode('latin-1', 'ignore').decode('latin-1') #since fpdf works with latin-1 encoding | |
| # Creating the PDF | |
| pdf = FPDF() | |
| pdf.add_page() | |
| pdf.set_font("Arial", size = 12) | |
| pdf.multi_cell(0, 10, txt = bold_text, markdown=True) | |
| return bytes(pdf.output()) | |
| def text_to_pdf(txt): | |
| ''' | |
| Basic function on the input text and convert it to bytes for PDF rendering | |
| ''' | |
| text = (txt + '.')[:-1] | |
| text = text.encode('latin-1', 'ignore').decode('latin-1') #since fpdf works with latin-1 encoding | |
| # Creating the PDF | |
| pdf = FPDF() | |
| pdf.add_page() | |
| pdf.set_font("Arial", size = 12) | |
| pdf.multi_cell(0, 10, txt = text, markdown=True) | |
| return bytes(pdf.output()) | |
| #Setting the page config | |
| st.set_page_config(page_title="Fastify Reader", | |
| page_icon=":books:", | |
| layout="wide") | |
| # Sidebar | |
| with st.sidebar: | |
| st.image("Logo.jpg") | |
| st.markdown("<div style='text-align: center;'>How fast can you read?</div>", unsafe_allow_html=True) | |
| # Example inputs | |
| example_text = ''' | |
| Did you know that your brain is capable of reading this text faster than you might think? It's true! Our brains have an incredible capacity for processing information rapidly, and with the right techniques, you can harness this power to become a speed reading master. | |
| Speed reading isn't just about skimming through text; it's about training your brain to absorb and comprehend information at a much quicker pace. By utilizing strategies like chunking, minimizing subvocalization, and expanding your peripheral vision, you can significantly increase your reading speed without sacrificing understanding. | |
| Imagine being able to plow through emails, reports, and articles in half the time it takes you now. With speed reading, that dream can become a reality. Not only will you save time, but you'll also improve your productivity and unlock new opportunities for learning and growth. | |
| So why wait? Dive into the world of speed reading today and unlock your brain's full potential. With practice and dedication, you'll be amazed at how quickly you can conquer even the most daunting reading tasks. Get started now and watch your reading speed soar! | |
| ''' | |
| # Main Page | |
| tab1, tab2= st.tabs(["Input Text", "PDF file"]) | |
| # First tab where Text is input | |
| with tab1: | |
| user_input = st.text_input("Enter some text", example_text) | |
| # Compare Check Box | |
| compare = st.checkbox('Compare with Fastified Text', value=False, key='compare') | |
| # Submit Button | |
| if st.button("Submit", key="input-text"): | |
| #Progess Bar for the processing | |
| with st.spinner("Processing"): | |
| text = user_input | |
| # Compare Logic implementation | |
| if compare: | |
| col1, col2, col3 = st.columns(3) | |
| with col3: | |
| st.download_button(label="Download Fastified PDF", data=text_to_pdf_fastify(text), file_name='output.pdf', mime='application/pdf') | |
| # Side by Side comparison | |
| col1, col2 = st.columns([1, 1], gap="small") | |
| with col1: | |
| with st.container(border = True): | |
| st.markdown("<div style='text-align: center;'><strong>Original Text</strong></div>", unsafe_allow_html=True) | |
| pdf_viewer(input = text_to_pdf(text), width = 600) | |
| with col2: | |
| with st.container(border = True): | |
| st.markdown("<div style='text-align: center;'><strong>Fastified Text</strong></div>", unsafe_allow_html=True) | |
| pdf_viewer(text_to_pdf_fastify(text), width = 600) | |
| else: | |
| # # No Comparisons | |
| col1, col2, col3 = st.columns(3) | |
| with col1: | |
| st.download_button(label="Download Fastified PDF", data=text_to_pdf_fastify(text), file_name='output.pdf', mime='application/pdf') | |
| with st.container(): | |
| st.markdown("<div><strong>Fastified PDF viewer</strong></div>", unsafe_allow_html=True) | |
| pdf_viewer(text_to_pdf_fastify(text), width = 600) | |
| # Added support for PDFs having text | |
| with tab2: | |
| uploaded_file = st.file_uploader("Upload a PDF file", type="pdf", accept_multiple_files=True) | |
| # Compare Check Box | |
| compare = st.checkbox('Compare with Fastified Text', value=False, key='compare_pdf') | |
| # Submit Button | |
| if st.button("Submit", key="pdf"): | |
| #Progess Bar for the processing | |
| with st.spinner("Processing"): | |
| text = pdf_extract_text(uploaded_file) | |
| # Compare Logic implementation | |
| if compare: | |
| col1, col2, col3 = st.columns(3) | |
| with col3: | |
| st.download_button(label="Download Fastified PDF", data=text_to_pdf_fastify(text), file_name='output.pdf', mime='application/pdf') | |
| # Side by Side comparison | |
| col1, col2 = st.columns([1, 1], gap="small") | |
| with col1: | |
| with st.container(border = True): | |
| st.markdown("<div style='text-align: center;'><strong>Original Text</strong></div>", unsafe_allow_html=True) | |
| pdf_viewer(text_to_pdf(text), width = 600) | |
| with col2: | |
| with st.container(border = True): | |
| st.markdown("<div style='text-align: center;'><strong>Fastified Text</strong></div>", unsafe_allow_html=True) | |
| pdf_viewer(text_to_pdf_fastify(text), width = 600) | |
| else: | |
| # No Comparison | |
| col1, col2, col3 = st.columns(3) | |
| with col1: | |
| st.download_button(label="Download Fastified PDF", data=text_to_pdf_fastify(text), file_name='output.pdf', mime='application/pdf') | |
| with st.container(): | |
| st.markdown("<div><strong>Fastified PDF viewer</strong></div>", unsafe_allow_html=True) | |
| pdf_viewer(text_to_pdf_fastify(text), width = 500) | |