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import streamlit as st
from translation import translate
from lang_detect import detect_language
from audio_processor import transcribe_audio, text_to_speech
import os
# Set page config for better UI
st.set_page_config(page_title="Multilingual Translator", page_icon="🌐", layout="centered")
# Main app function
def main():
# Title and header with styling
st.markdown("<h1 style='text-align: center; color: #2E86C1;'>Multilingual Translator</h1>", unsafe_allow_html=True)
st.markdown("<p style='text-align: center; color: #666;'>Translate text or audio for multilingual support.</p>", unsafe_allow_html=True)
# Tabs for input methods
tab1, tab2, tab3 = st.tabs(["Text Input", "Audio Input", "Document Upload"])
# Initialize session state for results
if 'translated_text' not in st.session_state:
st.session_state.translated_text = None
st.session_state.audio_path = None
st.session_state.source_lang = "English"
with tab1:
# Text input
user_text = st.text_area("Enter Text", placeholder="Type or paste your text here...", height=150, key="text_input")
if user_text:
handle_input(user_text)
with tab2:
# Audio input
audio_file = st.file_uploader("Upload Audio (MP3/WAV)", type=["mp3", "wav"], key="audio_input")
if audio_file:
user_text = transcribe_audio(audio_file)
st.write(f"Transcribed Text: {user_text}")
handle_input(user_text)
with tab3:
# Document input
doc_file = st.file_uploader("Upload Document (TXT)", type=["txt"], key="doc_input")
if doc_file:
user_text = doc_file.read().decode("utf-8")
st.write(f"Document Text: {user_text}")
handle_input(user_text)
# Handle input processing
def handle_input(text):
# Auto-detect source language
detected_lang = detect_language(text)
st.session_state.source_lang = detected_lang if detected_lang in LANGUAGES else "English"
st.info(f"Detected Source Language: {st.session_state.source_lang}")
# Target language selection
target_lang = st.selectbox("Target Language", list(LANGUAGES.keys()), index=1, key="target_lang")
# Translate button
if st.button("Translate", key="translate_button"):
with st.spinner("Translating..."):
try:
# Translate the text
st.session_state.translated_text = translate(text, st.session_state.source_lang, target_lang)
# Display results in a styled container
st.markdown("<h3 style='color: #2E86C1;'>Translation Result</h3>", unsafe_allow_html=True)
# Output options: Text and Audio
output_option = st.radio("Output Format", ["Text", "Audio"], key="output_option")
if output_option == "Text":
st.success("Translated Text:")
st.write(st.session_state.translated_text)
elif output_option == "Audio":
st.success("Translated Audio:")
st.session_state.audio_path = text_to_speech(st.session_state.translated_text, target_lang)
st.audio(st.session_state.audio_path)
# Show footer after translation
st.markdown("""
<p style='font-size: small; color: grey; text-align: center; margin-top: 20px;'>
Developed By: Krishna Prakash
<a href='https://www.linkedin.com/in/krishnaprakash-profile/' target='_blank'>
<img src='https://img.icons8.com/ios-filled/30/0077b5/linkedin.png' alt='LinkedIn' style='vertical-align: middle; margin: 0 5px;'/>
</a>
</p>
""", unsafe_allow_html=True)
except Exception as e:
st.error(f"Translation failed: {str(e)}")
# Language dictionary for UI
LANGUAGES = {
"English": "en",
"French": "fr",
"Spanish": "es",
"German": "de",
"Chinese": "zh",
"Arabic": "ar",
"Russian": "ru",
"Hindi": "hi",
"Japanese": "ja"
}
# Run the app
if __name__ == "__main__":
main() |