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import streamlit as st
import importlib
from io import BytesIO
st.set_page_config(page_title="Multilingual Translator", page_icon="🌐", layout="centered")
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)
col1, col2 = st.columns([1, 1])
with col1:
input_type = st.radio("Input", ["Text", "File Upload"], horizontal=True, key="input_type")
user_text = st.text_area("Enter or paste text", height=150, key="text_input").strip() if input_type == "Text" else ""
if input_type == "File Upload":
doc_file = st.file_uploader("Upload TXT File", type=["txt"], key="doc_input", accept_multiple_files=False)
user_text = doc_file.read().decode("utf-8").strip() if doc_file else ""
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"
}
source_options = ["Detect"] + [native_lang_map.get(lang, lang) for lang, _, _ in detected_options] + list(native_lang_map.values())
target_options = list(native_lang_map.values())
source_lang_display = st.selectbox("From", source_options, index=0, key="source_lang").replace("Detect", native_lang_map.get(source_lang, source_lang))
source_lang = next((k for k, v in native_lang_map.items() if v == source_lang_display), source_lang)
target_lang_display = st.selectbox("To", target_options, index=target_options.index("हिन्दी") if "हिन्दी" in target_options else 0, key="target_lang")
target_lang = next((k for k, v in native_lang_map.items() if v == target_lang_display), "Hindi")
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
except Exception as e:
st.error(f"Translation failed: {str(e)}. Using input as fallback.")
st.session_state.translated_text = user_text
with col2:
if "translated_text" in st.session_state and st.session_state.translated_text:
st.write("Translation:")
st.write(st.session_state.translated_text)
output_option = st.radio("Output", ["Text", "Audio"], horizontal=True, key="output_option")
if output_option == "Audio":
audio = audio_processor.text_to_speech(st.session_state.translated_text, target_lang)
if audio and audio.getbuffer().nbytes > 0:
st.audio(audio, format="audio/mp3")
st.success("Audio playing.")
else:
st.error("Audio generation failed. Try 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()