app.py

import streamlit as st
import tempfile
import os
from agent import TranslationAgent

# Page config
st.set_page_config(
    page_title="Multi-Language Translation Agent",
    page_icon="🌍",
    layout="wide"
)

# Initialize agent
@st.cache_resource
def get_agent():
    return TranslationAgent()

def main():
    st.title("🌍 Multi-Language Translation Agent")
    st.markdown("### Translate text between 70+ languages and convert to speech")
    
    agent = get_agent()
    
    # Create columns for layout
    col1, col2 = st.columns(2)
    
    with col1:
        st.subheader("📝 Input")
        
        # Source language selection
        source_lang = st.selectbox(
            "Source Language:",
            options=list(agent.languages.keys()),
            format_func=lambda x: f"{agent.languages[x]} ({x})",
            index=0  # Default to English
        )
        
        # Text input
        input_text = st.text_area(
            "Enter text to translate:",
            height=150,
            placeholder="Type your text here..."
        )
        
        # Auto-detect option
        auto_detect = st.checkbox("Auto-detect source language", value=True)
        
    with col2:
        st.subheader("🎯 Output")
        
        # Target language selection
        target_lang = st.selectbox(
            "Target Language:",
            options=list(agent.languages.keys()),
            format_func=lambda x: f"{agent.languages[x]} ({x})",
            index=1  # Default to Spanish
        )
        
        # Translation output area
        translation_output = st.empty()
        
        # Audio output area
        audio_output = st.empty()
    
    # Process button
    if st.button("🚀 Translate & Generate Speech", type="primary"):
        if input_text.strip():
            with st.spinner("Processing..."):
                try:
                    # Perform translation
                    result = agent.translate_and_speak(
                        text=input_text,
                        source_lang=None if auto_detect else source_lang,
                        target_lang=target_lang
                    )
                    
                    # Display results
                    with translation_output.container():
                        st.text_area(
                            f"Translation to {agent.languages[target_lang]}:",
                            value=result['translated_text'],
                            height=150,
                            key="translation_result"
                        )
                        
                        # Show detected language if auto-detect was used
                        if auto_detect and result['detected_language']:
                            st.info(f"Detected language: {agent.languages.get(result['detected_language'], result['detected_language'])}")
                    
                    # Display audio
                    with audio_output.container():
                        st.audio(result['audio_file'], format='audio/mp3')
                        
                        # Download button
                        with open(result['audio_file'], 'rb') as audio_file:
                            st.download_button(
                                label="📥 Download Audio",
                                data=audio_file.read(),
                                file_name=f"translation_{target_lang}.mp3",
                                mime="audio/mpeg"
                            )
                    
                    st.success("✅ Translation and speech generation completed!")
                    
                except Exception as e:
                    st.error(f"❌ Error: {str(e)}")
        else:
            st.warning("⚠️ Please enter text to translate")
    
    # Language support info
    with st.expander("🌐 Supported Languages"):
        st.write("This agent supports translation between any of these languages:")
        
        # Create columns for better display
        lang_cols = st.columns(4)
        lang_items = list(agent.languages.items())
        
        for i, (code, name) in enumerate(lang_items):
            with lang_cols[i % 4]:
                st.write(f"**{name}** ({code})")
    
    # Instructions
    with st.expander("📋 How to Use"):
        st.markdown("""
        1. **Select Source Language** or enable auto-detect
        2. **Enter your text** in the input area
        3. **Choose Target Language** for translation
        4. **Click Translate & Generate Speech** button
        5. **Listen to the audio** and download if needed
        
        **Features:**
        - ✅ 20+ languages supported
        - ✅ Auto-detect source language
        - ✅ High-quality translations
        - ✅ Natural-sounding speech
        - ✅ Download audio files
        """)

if __name__ == "__main__":
    main()