import streamlit as st
import importlib
from io import BytesIO

st.set_page_config(page_title="Multilingual Translator", page_icon="🌐", layout="wide")

def main():
    translation = importlib.import_module("translation")
    lang_detect = importlib.import_module("lang_detect")
    audio_processor = importlib.import_module("audio_processor")

    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 like Google Translate</p>", unsafe_allow_html=True)

    # Single-page layout
    col1, col2 = st.columns([1, 1])
    with col1:
        input_type = st.radio("Input Method", ["Text", "File Upload"], horizontal=True)
        if input_type == "Text":
            user_text = st.text_area("Enter Text", height=200, key="text_input").strip()
        else:
            doc_file = st.file_uploader("Upload TXT File", type=["txt"], key="doc_input")
            user_text = doc_file.read().decode("utf-8").strip() if doc_file else ""

        st.write(f"Raw Input: {user_text}")  # Debug

    with col2:
        if user_text:
            detected_options = lang_detect.detect_language(user_text) if len(user_text) >= 10 else [("English", 1.0, "English")]
            source_lang = detected_options[0][0] if detected_options else "English"

            native_lang_map = {
                "English": "English", "French": "Français", "Spanish": "Español",
                "German": "Deutsch", "Hindi": "हिन्दी", "Chinese": "中文",
                "Arabic": "العربية", "Russian": "Русский", "Japanese": "日本語"
            }
            display_options = ["Auto"] + [f"{native_lang_map.get(lang, lang)} ({conf:.2f})" for lang, conf, _ in detected_options] + list(translation.LANGUAGES.keys())
            source_lang = st.selectbox("Source Language", display_options, index=0, key="source_lang").replace("Auto", source_lang)

            target_lang = st.selectbox("Target Language", [native_lang_map[lang] for lang in translation.LANGUAGES],
                                      index=list(translation.LANGUAGES.keys()).index("Hindi") if "Hindi" in translation.LANGUAGES else 0,
                                      key="target_lang", format_func=lambda x: x)
            target_lang = next(key for key, value in native_lang_map.items() if value == target_lang)

            if st.button("Translate", key="translate_btn"):
                try:
                    translated_text = translation.translate(user_text, source_lang, target_lang)
                    st.session_state.translated_text = translated_text
                    st.write(f"Translated Text (Debug): {translated_text}")
                except Exception as e:
                    st.error(f"Translation failed: {str(e)}. Using fallback text.")
                    st.session_state.translated_text = f"Translation not supported for {source_lang} to {target_lang}. Input: {user_text}"

                output_option = st.radio("Output", ["Text", "Audio"], horizontal=True, key="output_option")
                if output_option == "Text":
                    st.success("Result:")
                    st.write(st.session_state.translated_text)
                else:
                    audio_path = audio_processor.text_to_speech(st.session_state.translated_text, target_lang)
                    if audio_path:
                        st.audio(audio_path, format="audio/mp3")
                    else:
                        st.error("Audio generation failed. Try a supported language like English or French.")

    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)

if __name__ == "__main__":
    main()