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# Import the required module for text
# to speech conversion
from gtts import gTTS
# This module is imported so that we can
# play the converted audio
import os
import re
import streamlit as st
import numpy as np
def tts(text):
# Language in which you want to convert
language = 'en'
# Passing the text and language to the engine,
# here we have marked slow=False. Which tells
# the module that the converted audio should
# have a high speed
speech = gTTS(text=text, lang=language, slow=False)
# Saving the converted audio in a mp3 file named
# welcome
speech.save("sample.mp3")
def get_words():
with open("words.txt", 'r') as f:
words = f.read()
# print(words)
words = re.split('،|\.|/|:| |,|\n',words)
words = [word.strip().lower() for word in words if word.strip() != ""]
# rest = [word for word in words if "." in word]
# words = [word for word in words if "." not in word]
# print(len(words))
return words
def genrate_word(words):
word = np.random.choice(words, size=1)[0]
print("genrating ", word)
with open("word.txt", "w") as f:
f.write(word)
tts(word)
return word
def update_audio():
audio_file = open('sample.mp3', 'rb')
audio_bytes = audio_file.read()
st.audio(audio_bytes, format='audio/mp3')
def update_frontend():
words = get_words()
genrate_word(words)
update_audio()
def get_main_word():
with open("word.txt", "r") as f:
return f.read()
st.title("Spelling checker for English learning")
if st.sidebar.button("Regenerate"):
update_frontend()
user_word = None
st.session_state["text"] = ""
if st.sidebar.button("Show"):
update_audio()
user_word = st.text_input("word", value="", key="text")
if st.sidebar.button("check spelling") or user_word:
main_word = get_main_word()
if main_word == user_word.lower():
st.balloons()
st.success('Correct spelling! Go get 8/100 score', icon="✅")
else:
st.snow()
st.error('Try harder', icon="🚨")
if st.sidebar.button("Show word"):
main_word = get_main_word()
st.info('Word is '+main_word, icon="ℹ️")
st.text(str(len(get_words()))+" words are used in this demo, Good luck!") |