🎙️ Audio Processing Application

A powerful audio processing application that transcribes, analyzes, and translates conversations with speaker diarization support. Available in both Uzbek and English interfaces.

🌟 Features

• Audio Transcription: Utilizes OpenAI's Whisper model for accurate speech-to-text conversion
• Speaker Diarization: Automatically identifies and labels different speakers in conversations
• Language Processing:
  • Handles mixed Kazakh-Uzbek conversations
  • Translates to pure Uzbek while preserving original structure
• Smart Analysis:
  • Generates comprehensive conversation summaries
  • Identifies key topics and points
  • Analyzes speaker patterns and interactions
• User-Friendly Interface:
  • Intuitive file upload system
  • Real-time processing status
  • Downloadable results in multiple formats

🚀 Getting Started

Prerequisites

python >= 3.8
openai
streamlit
python-dotenv

Installation

1. Clone the repository:

git clone https://github.com/mustafoyev-202/OPENAI_STT.git
cd audio-processor

2. Install dependencies:

pip install -r requirements.txt

3. Create a .env file in the root directory:

OPENAI_API_KEY=your_openai_api_key_here

Running the Application

streamlit run app.py

For the English version:

streamlit run main.py

💡 Usage

1. Launch the application using the command above
2. Upload an audio file (supported formats: MP3, WAV, M4A)
3. Wait for the processing to complete
4. View the results:
   • Original transcription
   • Speaker-labeled conversation
   • Translated text (for Uzbek version)
   • Conversation analysis and summary
5. Download the results using the provided buttons

🔧 Configuration

The application can be configured through environment variables:

• OPENAI_API_KEY: Your OpenAI API key (required)
• Additional Streamlit configurations can be set in .streamlit/config.toml

🌍 Language Support

Uzbek Version (app.py)

• Transcribes mixed Kazakh-Uzbek conversations
• Translates to pure Uzbek
• Provides interface in Uzbek language

English Version (main.py)

• Transcribes English conversations
• Provides interface in English language
• Focuses on speaker diarization and analysis

🔍 Technical Details

The application uses several advanced technologies:

• OpenAI Whisper: For accurate speech-to-text conversion
• GPT-4: For speaker diarization and text analysis
• Streamlit: For the web interface
• Regular Expressions: For text formatting and cleaning

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

⚠️ Important Notes

• Ensure your audio files are clear and of good quality
• Large audio files may take longer to process
• API usage is subject to OpenAI's pricing and rate limits

🙏 Acknowledgments

• OpenAI for providing the API services
• Streamlit for the awesome framework
• Contributors and users of this application