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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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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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col1, col2 = st.columns([1, 1]) |
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with col1: |
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input_type = st.radio("Input Method", ["Text", "File Upload"], horizontal=True) |
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if input_type == "Text": |
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user_text = st.text_area("Enter Text", height=200, key="text_input").strip() |
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else: |
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doc_file = st.file_uploader("Upload TXT File", type=["txt"], key="doc_input") |
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user_text = doc_file.read().decode("utf-8").strip() if doc_file else "" |
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st.write(f"Raw Input: {user_text}") |
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with col2: |
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if user_text: |
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detected_options = lang_detect.detect_language(user_text) if len(user_text) >= 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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display_options = ["Auto"] + [f"{native_lang_map.get(lang, lang)} ({conf:.2f})" for lang, conf, _ in detected_options] + list(translation.LANGUAGES.keys()) |
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source_lang = st.selectbox("Source Language", display_options, index=0, key="source_lang").replace("Auto", source_lang) |
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target_lang = st.selectbox("Target Language", [native_lang_map[lang] for lang in translation.LANGUAGES], |
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index=list(translation.LANGUAGES.keys()).index("Hindi") if "Hindi" in translation.LANGUAGES else 0, |
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key="target_lang", format_func=lambda x: x) |
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target_lang = next(key for key, value in native_lang_map.items() if value == target_lang) |
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if st.button("Translate", key="translate_btn"): |
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try: |
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translated_text = translation.translate(user_text, source_lang, target_lang) |
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st.session_state.translated_text = translated_text |
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st.write(f"Translated Text (Debug): {translated_text}") |
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except Exception as e: |
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st.error(f"Translation failed: {str(e)}. Using fallback text.") |
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st.session_state.translated_text = f"Translation not supported for {source_lang} to {target_lang}. Input: {user_text}" |
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output_option = st.radio("Output", ["Text", "Audio"], horizontal=True, key="output_option") |
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if output_option == "Text": |
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st.success("Result:") |
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st.write(st.session_state.translated_text) |
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else: |
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audio_path = audio_processor.text_to_speech(st.session_state.translated_text, target_lang) |
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if audio_path: |
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st.audio(audio_path, format="audio/mp3") |
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else: |
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st.error("Audio generation failed. Try a supported language like English or French.") |
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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 |
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<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() |
