app.py

import streamlit as st
import os
import importlib

# Set page config as the absolute first Streamlit command
st.set_page_config(page_title="Multilingual Translator", page_icon="🌐", layout="centered")

# Main app function
def main():
    # Lazy import modules to avoid Streamlit initialization during import
    translation = importlib.import_module("translation")
    lang_detect = importlib.import_module("lang_detect")
    audio_processor = importlib.import_module("audio_processor")

    # 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, translation, lang_detect, audio_processor)

    with tab2:
        # Audio input
        audio_file = st.file_uploader("Upload Audio (MP3/WAV)", type=["mp3", "wav"], key="audio_input")
        if audio_file:
            user_text = audio_processor.transcribe_audio(audio_file)
            st.write(f"Transcribed Text: {user_text}")
            handle_input(user_text, translation, lang_detect, audio_processor)

    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, translation, lang_detect, audio_processor)

# Handle input processing
def handle_input(text, translation, lang_detect, audio_processor):
    # Auto-detect source language
    detected_lang = lang_detect.detect_language(text)
    st.session_state.source_lang = detected_lang if detected_lang in translation.LANGUAGES else "English"
    st.info(f"Detected Source Language: {st.session_state.source_lang}")

    # Target language selection
    target_lang = st.selectbox("Target Language", list(translation.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 = translation.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 = audio_processor.text_to_speech(st.session_state.translated_text, target_lang)
                    if st.session_state.audio_path:
                        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)}")

# Run the app
if __name__ == "__main__":
    main()