import streamlit as st import importlib from io import BytesIO import time 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") # Header st.markdown("

Multilingual Translator

", unsafe_allow_html=True) st.markdown("

Translate text like Google Translate

", unsafe_allow_html=True) # Language Controls col_lang, col_target = st.columns([1, 1]) with col_lang: detected_options = lang_detect.detect_language(st.session_state.get("user_text", "")) if st.session_state.get("user_text", "").strip() and len(st.session_state.get("user_text", "").strip()) >= 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_lang_display = st.selectbox("Source Language (Auto-Detected)", [native_lang_map.get(source_lang, source_lang)] + list(native_lang_map.values()), index=0, key="source_lang", label_visibility="collapsed", help="Auto-detected language, override if needed") with col_target: target_options = list(native_lang_map.values()) target_lang_display = st.selectbox("Target Language", target_options, index=target_options.index("हिन्दी") if "हिन्दी" in target_options else 0, key="target_lang", label_visibility="collapsed") target_lang = next((k for k, v in native_lang_map.items() if v == target_lang_display), "Hindi") # Input Section col_input, col_output = st.columns([1, 1]) with col_input: st.markdown("
", unsafe_allow_html=True) input_type = st.radio("Input", ["Text", "File Upload"], horizontal=True, label_visibility="collapsed", key="input_type") user_text = st.text_area("Enter or paste text", height=200, key="user_text").strip() if input_type == "Text" else "" if input_type == "File Upload": doc_file = st.file_uploader("Upload File", type=["txt", "docx", "pdf"], key="doc_input", accept_multiple_files=False, label_visibility="collapsed", help="Drag and drop or browse files") user_text = doc_file.read().decode("utf-8").strip() if doc_file else st.session_state.get("user_text", "") char_count = len(user_text) st.markdown(f"Characters: {char_count}/1000", unsafe_allow_html=True) if user_text and (st.session_state.get("last_text", "") != user_text or st.button("Translate", key="translate_btn")): st.session_state.last_text = user_text spinner = st.empty() spinner.info("Translating...") start_time = time.time() try: # Use English as buffer for translation with validation if source_lang != "English" and target_lang != "English": temp_translation = translation.translate(user_text, source_lang, "English") if not temp_translation or len(temp_translation.split()) < 2: # Validate intermediate result raise ValueError("Intermediate translation failed") translated_text = translation.translate(temp_translation, "English", target_lang) else: translated_text = translation.translate(user_text, source_lang, target_lang) if not translated_text or len(translated_text.split()) < 2: # Validate final result raise ValueError("Final translation failed") st.session_state.translated_text = translated_text st.session_state.translation_time = time.time() - start_time except Exception as e: st.session_state.translated_text = user_text st.session_state.translation_time = time.time() - start_time st.warning(f"Translation issue: {str(e)}. Using input as fallback.") finally: spinner.empty() # Output Section with col_output: st.markdown("
", unsafe_allow_html=True) if "translated_text" in st.session_state and st.session_state.translated_text: line_count = max(len(st.session_state.translated_text.splitlines()), len(user_text.splitlines())) output_height = max(200, line_count * 20 + 50) st.text_area("Translation:", value=st.session_state.translated_text, height=output_height, key="output_area") st.write(f"Translation time: {st.session_state.translation_time:.2f} seconds") col_copy, col_audio = st.columns([0.5, 0.5]) with col_copy: if st.button("📋", key="copy_btn", help="Copy to clipboard"): st.clipboard(st.session_state.translated_text) st.success("Copied to clipboard!") with col_audio: output_option = st.radio("Output", ["Text", "Audio"], horizontal=True, label_visibility="collapsed", key="output_option") if output_option == "Audio" and "translated_text" in st.session_state: 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", start_time=0) st.success("Audio playing.") else: audio_fallback = audio_processor.text_to_speech(st.session_state.translated_text, "English") if audio_fallback and audio_fallback.getbuffer().nbytes > 0: st.audio(audio_fallback, format="audio/mp3", start_time=0) st.success("Fallback audio in English playing.") else: st.error("Audio generation failed. Try again later.") # Footer st.markdown("""

Developed by: Krishna Prakash LinkedIn

""", unsafe_allow_html=True) if __name__ == "__main__": main()