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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!') | |
x = st.slider('Select the number of pages you wish to transcribe') | |
uploaded_file = st.file_uploader("Choose a file", "pdf") | |
if uploaded_file is not None: | |
# creating a pdf reader object | |
reader = PdfReader(uploaded_file) | |
# printing number of pages in pdf file | |
X = len(reader.pages) | |
print(X) | |
i = 0 | |
while i <= X and i <= x: | |
# getting a specific page from the pdf file | |
page = reader.pages[i] | |
# extracting text from page | |
text = page.extract_text() | |
print("Created text of page", i ) | |
sound_file = BytesIO() | |
tts = gTTS(text, lang='en') | |
tts.write_to_fp(sound_file) | |
i = i + 1 | |
st.audio(sound_file) | |
print("transcribed", i, "pages of", X, "total pages.") | |
prompt = st.chat_input("Say something") | |
if prompt: | |
st.write(prompt) | |
with st.popover("Open popover"): | |
sound_file = BytesIO() | |
tts = gTTS(prompt, lang='en') | |
tts.write_to_fp(sound_file) | |
st.audio(sound_file) | |