🌐 Advanced SpeechToTxt Translator

A powerful language translation tool built with Streamlit, featuring real-time translation, audio output, and language detection.

✨ Features

• Real-time language detection
• Support for 100+ languages
• Text-to-speech output
• Bulk text translation
• Translation history
• Copy-to-clipboard functionality
• Dark/Light mode support
• Mobile-responsive design

🛠️ Technologies Used

• Python 3.8+
• Streamlit
• googletrans 3.1.0a0
• gTTS (Google Text-to-Speech)
• playsound
• clipboard
• language_detector

🚀 Quick Installation

# Clone repository
git clone https://github.com/yourusername/advanced-streamlit-translator.git

# Navigate to directory
cd advanced-streamlit-translator

# Install dependencies
pip install -r requirements.txt

# Run application
streamlit run app.py

📦 Requirements

streamlit==1.24.0
googletrans==3.1.0a0
gTTS==2.3.2
playsound==1.3.0
clipboard==0.0.4
language_detector==1.1.0

💡 Usage

1. Select source language (or use auto-detect)
2. Choose target language
3. Enter or paste your text
4. Click "Translate" or enable auto-translation
5. Use the audio button to hear pronunciation
6. Copy translated text with one click

🎯 Key Functions

# Language detection
def detect_language(text):
    try:
        return translator.detect(text).lang
    except:
        return "en"

# Text translation
def translate_text(text, target_lang):
    try:
        return translator.translate(text, dest=target_lang).text
    except:
        return "Translation error. Please try again."

# Text to speech
def text_to_speech(text, lang):
    try:
        tts = gTTS(text=text, lang=lang)
        tts.save("temp.mp3")
        return True
    except:
        return False

🎨 UI Features

• Clean, modern interface
• Language selection dropdowns
• Auto-detection toggle
• Character count display
• Translation history sidebar
• Audio playback controls
• Copy/paste buttons
• Progress indicators

🔧 Configuration

# config.py
STREAMLIT_CONFIG = {
    "theme": {
        "primaryColor": "#FF4B4B",
        "backgroundColor": "#FFFFFF",
        "secondaryBackgroundColor": "#F0F2F6",
        "textColor": "#262730",
        "font": "sans serif",
    },
    "server": {
        "port": 8501,
        "address": "localhost"
    }
}

📝 Future Enhancements

• OCR integration for image translation
• API endpoint for programmatic access
• Offline translation support
• Custom voice selection
• Translation memory for frequent phrases
• Batch file translation

🤝 Contributing

1. Fork the repository
2. Create feature branch
3. Commit changes
4. Push to branch
5. Open pull request

📄 License

MIT License - See LICENSE for details

📞 Support

• GitHub Issues
• Email: [email protected]