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07c72d2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | import streamlit as st
import pyttsx3
# Initialize TTS engine
engine = pyttsx3.init()
# Configure available voices
voices = engine.getProperty('voices')
# Streamlit App Title
st.title("Text-to-Speech Application")
st.markdown("""
A text-to-speech application supporting multiple languages and voices.
Customize the speech synthesis settings as per your preferences!
""")
# User Input for Text
text = st.text_area("Enter the text you want to convert to speech:", placeholder="Type something here...")
# Language and Voice Selection
language = st.selectbox(
"Select a Language:",
options=["English (US)", "English (UK)", "Hindi", "French", "Spanish"]
)
voice_gender = st.radio(
"Select Voice Gender:",
options=["Male", "Female"]
)
# Customize Voice Rate and Volume
rate = st.slider("Adjust Speech Rate:", min_value=100, max_value=300, value=200, step=10)
volume = st.slider("Adjust Volume:", min_value=0.0, max_value=1.0, value=1.0, step=0.1)
# Generate Speech
if st.button("Convert to Speech"):
if text.strip():
# Set language and voice properties
if language == "English (US)":
selected_voice = voices[0] # Adjust based on your system's available voices
elif language == "English (UK)":
selected_voice = voices[1]
elif language == "Hindi":
selected_voice = voices[2] # Requires Hindi TTS setup in OS
elif language == "French":
selected_voice = voices[3]
elif language == "Spanish":
selected_voice = voices[4]
else:
selected_voice = voices[0]
# Set voice
engine.setProperty('voice', selected_voice.id)
# Set gender
if voice_gender == "Female":
for v in voices:
if "female" in v.name.lower():
engine.setProperty('voice', v.id)
break
# Set rate and volume
engine.setProperty('rate', rate)
engine.setProperty('volume', volume)
# Convert to speech
engine.save_to_file(text, 'output.mp3')
engine.runAndWait()
st.audio('output.mp3', format="audio/mp3", start_time=0)
else:
st.warning("Please enter some text to convert to speech!")
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