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import streamlit as st
from gtts import gTTS 
from io import BytesIO
from PyPDF2 import PdfReader

st.image('OIG3 (4).jpeg', caption='Your host on this PDF-to-Speech adventure!')

st.markdown("## Ready for an Epic PDF Adventure? πŸš€")
st.markdown("Buckle up! Upload your PDF, set your preferences, and let's explore the text together!")

# Sliders for page range selection
start_page = st.slider('Select the starting page', min_value=1, max_value=400, value=1)
end_page = st.slider('Select the number of pages you wish to transcribe', min_value=1, max_value=400, value=100)

uploaded_file = st.file_uploader("Choose a PDF file", type="pdf")
if uploaded_file is not None:
    reader = PdfReader(uploaded_file)
    total_pages = len(reader.pages)
    st.write(f"The uploaded PDF has {total_pages} pages.")

    if start_page <= total_pages:
        for i in range(start_page - 1, min(end_page, total_pages)):
            page = reader.pages[i]
            text = page.extract_text()  
            sound_file = BytesIO()
            tts = gTTS(text, lang='en')
            tts.write_to_fp(sound_file)
            st.audio(sound_file)
            st.write(f"Page {i + 1} of {total_pages} has been read aloud.")
        st.write("πŸŽ‰ Adventure complete! Have a fantastic day! πŸŽ‰")
    else:
        st.write("⚠️ The starting page exceeds the total number of pages in the PDF.")

prompt = st.chat_input("Copy/Paste or type in text to have read aloud")
if prompt:
    st.write(prompt)
    with st.popover("✨ Open your text-to-speech from text input ✨"):
        sound_file = BytesIO()
        tts = gTTS(prompt, lang='en')
        tts.write_to_fp(sound_file)
        st.audio(sound_file)