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import streamlit as st
import speech_recognition as sr
from googletrans import Translator
from cryptography.fernet import Fernet
import pyttsx3
# Function to encrypt the spoken words
def encrypt(text, key):
cipher = Fernet(key)
encrypted_text = cipher.encrypt(text.encode())
return encrypted_text
# Function to translate spoken words and speak the result
def translate_and_encrypt(source_language, target_language, encrypt_text):
# Initialize the speech recognition module
recognizer = sr.Recognizer()
# Use the default microphone as the audio source
with sr.Microphone() as source:
st.write("Say something:")
audio = recognizer.listen(source)
# Google Web Speech API for speech-to-text conversion
try:
spoken_text = recognizer.recognize_google(audio, language=source_language)
st.write("You said:", spoken_text)
# Translate spoken words to the selected target language
translator = Translator()
translated_text = translator.translate(spoken_text, dest=target_language).text
st.write("Translated text:", translated_text)
# Speak the translated text
speak(translated_text, target_language)
# Encryption key for security
encryption_key = Fernet.generate_key()
# Encrypt the translated text if the user chooses encryption
if encrypt_text:
encrypted_text = encrypt(translated_text, encryption_key)
st.write("Encrypted text:", encrypted_text)
else:
encrypted_text = None
# Store the translated text and encryption status in session state
if 'translation_history' not in st.session_state:
st.session_state.translation_history = []
st.session_state.translation_history.append({
'spoken_text': spoken_text,
'translated_text': translated_text,
'encrypted_text': encrypted_text
})
except sr.UnknownValueError:
st.write("Sorry, could not understand audio.")
except sr.RequestError as e:
st.write(f"Could not request results from Google Web Speech API; {e}")
def speak(text, language):
# Initialize the text-to-speech engine with SAPI5 voices
engine = pyttsx3.init()
voices = engine.getProperty('voices')
if language == "hindi":
engine.setProperty('voice', voices[0].id) # Select Hindi voice
elif language == "urdu":
engine.setProperty('voice', voices[1].id) # Select Urdu voice
engine.say(text)
engine.runAndWait()
# Streamlit UI
st.title("Speech Translation and Encryption")
# Language selection
language_options = ["en", "es", "fr", "de", "hindi", "urdu"]
language_names = ["English", "Spanish", "French", "German", "Hindi", "Urdu"]
source_language = st.selectbox("Select Source Language:", language_names, index=0)
target_language = st.selectbox("Select Target Language:", language_names, index=1)
# Checkbox for encryption
encrypt_text = st.checkbox("Encrypt Text")
# Button to trigger translation and encryption
if st.button("Translate and Encrypt"):
translate_and_encrypt(source_language, target_language, encrypt_text)
# Navigation to the Translation History tab
if 'translation_history' in st.session_state and st.session_state.translation_history:
st.title("Translation History")
st.table(st.session_state.translation_history)
# Organize the UI in tabs
tabs = ["Translation History"]
selected_tab = st.sidebar.radio("Select Tab", tabs)
if selected_tab == "Translation History":
if 'translation_history' in st.session_state and st.session_state.translation_history:
st.title("Translation History")
st.table(st.session_state.translation_history)
else:
st.write("No translation history yet.")
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