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import streamlit as st |
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import importlib |
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from io import BytesIO |
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import time |
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st.set_page_config(page_title="Multilingual Translator", page_icon="🌐", layout="wide") |
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def main(): |
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translation = importlib.import_module("translation") |
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lang_detect = importlib.import_module("lang_detect") |
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audio_processor = importlib.import_module("audio_processor") |
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st.markdown("<h1 style='text-align: center; color: #2E86C1;'>Multilingual Translator</h1>", unsafe_allow_html=True) |
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st.markdown("<p style='text-align: center; color: #666;'>Translate text like Google Translate</p>", unsafe_allow_html=True) |
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col_lang, col_target = st.columns([1, 1]) |
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with col_lang: |
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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")] |
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source_lang = detected_options[0][0] if detected_options else "English" |
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native_lang_map = { |
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"English": "English", "French": "Français", "Spanish": "Español", |
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"German": "Deutsch", "Hindi": "हिन्दी", "Chinese": "中文", |
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"Arabic": "العربية", "Russian": "Русский", "Japanese": "日本語" |
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} |
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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") |
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with col_target: |
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target_options = list(native_lang_map.values()) |
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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") |
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target_lang = next((k for k, v in native_lang_map.items() if v == target_lang_display), "Hindi") |
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col_input, col_output = st.columns([1, 1]) |
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with col_input: |
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st.markdown("<div style='margin-bottom: 10px;'></div>", unsafe_allow_html=True) |
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input_type = st.radio("Input", ["Text", "File Upload"], horizontal=True, label_visibility="collapsed", key="input_type") |
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user_text = st.text_area("Enter or paste text", height=200, key="user_text").strip() if input_type == "Text" else "" |
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if input_type == "File Upload": |
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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") |
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user_text = doc_file.read().decode("utf-8").strip() if doc_file else st.session_state.get("user_text", "") |
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char_count = len(user_text) |
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st.markdown(f"<small style='color: grey;'>Characters: {char_count}/1000</small>", unsafe_allow_html=True) |
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if user_text and (st.session_state.get("last_text", "") != user_text or st.button("Translate", key="translate_btn")): |
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st.session_state.last_text = user_text |
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spinner = st.empty() |
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spinner.info("Translating...") |
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start_time = time.time() |
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try: |
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if source_lang != "English" and target_lang != "English": |
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temp_translation = translation.translate(user_text, source_lang, "English") |
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if not temp_translation or len(temp_translation.split()) < 2: |
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raise ValueError("Intermediate translation failed") |
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translated_text = translation.translate(temp_translation, "English", target_lang) |
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else: |
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translated_text = translation.translate(user_text, source_lang, target_lang) |
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if not translated_text or len(translated_text.split()) < 2: |
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raise ValueError("Final translation failed") |
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st.session_state.translated_text = translated_text |
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st.session_state.translation_time = time.time() - start_time |
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except Exception as e: |
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st.session_state.translated_text = user_text |
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st.session_state.translation_time = time.time() - start_time |
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st.warning(f"Translation issue: {str(e)}. Using input as fallback.") |
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finally: |
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spinner.empty() |
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with col_output: |
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st.markdown("<div style='margin-bottom: 10px;'></div>", unsafe_allow_html=True) |
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if "translated_text" in st.session_state and st.session_state.translated_text: |
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line_count = max(len(st.session_state.translated_text.splitlines()), len(user_text.splitlines())) |
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output_height = max(200, line_count * 20 + 50) |
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st.text_area("Translation:", value=st.session_state.translated_text, height=output_height, key="output_area") |
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st.write(f"Translation time: {st.session_state.translation_time:.2f} seconds") |
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col_copy, col_audio = st.columns([0.5, 0.5]) |
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with col_copy: |
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if st.button("📋", key="copy_btn", help="Copy to clipboard"): |
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st.clipboard(st.session_state.translated_text) |
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st.success("Copied to clipboard!") |
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with col_audio: |
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output_option = st.radio("Output", ["Text", "Audio"], horizontal=True, label_visibility="collapsed", key="output_option") |
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if output_option == "Audio" and "translated_text" in st.session_state: |
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audio = audio_processor.text_to_speech(st.session_state.translated_text, target_lang) |
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if audio and audio.getbuffer().nbytes > 0: |
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st.audio(audio, format="audio/mp3", start_time=0) |
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st.success("Audio playing.") |
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else: |
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audio_fallback = audio_processor.text_to_speech(st.session_state.translated_text, "English") |
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if audio_fallback and audio_fallback.getbuffer().nbytes > 0: |
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st.audio(audio_fallback, format="audio/mp3", start_time=0) |
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st.success("Fallback audio in English playing.") |
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else: |
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st.error("Audio generation failed. Try again later.") |
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st.markdown(""" |
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<p style='font-size: small; color: grey; text-align: center; margin-top: 20px;'> |
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Developed by: Krishna Prakash <a href='https://www.linkedin.com/in/krishnaprakash-profile/' target='_blank'> |
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<img src='https://img.icons8.com/ios-filled/30/0077b5/linkedin.png' alt='LinkedIn' style='vertical-align: middle; margin: 0 5px;'/> |
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</a> |
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</p> |
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""", unsafe_allow_html=True) |
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if __name__ == "__main__": |
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main() |