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Initial deployment

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  1. .gitattributes +35 -0
  2. README.md +88 -0
  3. app.py +1 -0
  4. requirements.txt +22 -0
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README.md ADDED
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+ # Mental Wellness Platform
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+
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+ A comprehensive mental wellness platform that provides mental health assessment, monitoring, and support through multiple modalities. The platform utilizes state-of-the-art AI models for voice analysis, text analysis, and therapeutic interaction.
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+
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+ ## Features
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+
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+ - **Voice Analysis**
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+ - Speech recognition and transcription
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+ - Emotion detection from voice
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+ - Prosodic feature analysis
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+ - Speech pattern analysis
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+
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+ - **Text Analysis**
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+ - Sentiment analysis
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+ - Emotion detection
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+ - Mental health indicator detection
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+ - Cognitive state assessment
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+
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+ - **Therapeutic Support**
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+ - AI-powered therapeutic conversations
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+ - Personalized coping strategies
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+ - Crisis detection and support
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+ - Mental health resources
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+
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+ ## Installation
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+
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+ 1. Clone the repository:
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+ ```bash
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+ git clone https://github.com/yourusername/mental-wellness-platform.git
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+ cd mental-wellness-platform
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+ ```
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+
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+ 2. Create a virtual environment and activate it:
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+ ```bash
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+ python -m venv venv
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+ source venv/bin/activate # On Windows, use: venv\Scripts\activate
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+ ```
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+
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+ 3. Install the required packages:
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+ ```bash
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+ pip install -r requirements.txt
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+ ```
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+
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+ ## Usage
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+ 1. Start the application:
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+ ```bash
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+ python src/app.py
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+ ```
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+ 2. Open your web browser and navigate to the provided URL (typically http://localhost:7860)
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+
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+ 3. Use the platform's features through the Gradio interface:
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+ - Record voice input for analysis
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+ - Enter text for emotional analysis
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+ - Engage in therapeutic conversation
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+ - View analysis results and recommendations
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+
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+ ## Model Information
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+
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+ The platform uses the following models:
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+ - Whisper ASR for speech recognition
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+ - DistilRoBERTa for emotion classification
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+ - FLAN-T5 for therapeutic responses
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+ - Various custom models for mental health assessment
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+
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+ ## Privacy and Security
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+
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+ - All data is processed locally
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+ - No data is stored permanently
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+ - End-to-end encryption for data transmission
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+ - Compliant with privacy best practices
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+
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+ ## Contributing
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+ Contributions are welcome! Please feel free to submit a Pull Request.
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+
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+ ## License
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+ This project is licensed under the MIT License - see the LICENSE file for details.
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+ ## Disclaimer
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+ This platform is not a substitute for professional mental health care. If you're experiencing a mental health crisis, please contact your local emergency services or call the National Crisis Helpline at 988.
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+ ## Support
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+ For questions, issues, or feature requests, please open an issue on the GitHub repository.
app.py ADDED
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+ import gradio as gr; demo = gr.Interface(fn=lambda x: x, inputs='text', outputs='text'); demo.launch()
requirements.txt ADDED
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+ gradio>=4.1.1
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+ torch>=2.0.0
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+ transformers>=4.34.0
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+ librosa>=0.10.1
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+ numpy>=1.24.0
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+ plotly>=5.18.0
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+ scipy>=1.11.3
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+ pandas>=2.1.0
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+ python-dotenv>=1.0.0
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+ huggingface-hub>=0.19.0
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+ scikit-learn>=1.3.2
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+ soundfile>=0.12.1
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+ torchaudio>=2.0.0
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+ accelerate>=0.24.1
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+ matplotlib>=3.7.1
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+ seaborn>=0.12.2
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+ pyyaml>=6.0.1
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+ requests>=2.31.0
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+ tqdm>=4.65.0
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+ nltk>=3.8.1
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+ spacy>=3.7.2
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+ en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1.tar.gz