Healthcare Translation Web App with Generative AI

Try out here : https://nao-medical-healthcare-translation.streamlit.app/

Overview

The Healthcare Translation Web App is designed to bridge language barriers in healthcare settings by utilizing generative AI technologies. This web app offers features such as real-time voice recording, transcription, translation, medical term enhancement, and text-to-speech capabilities. The app integrates state-of-the-art AI models, including Groq, OpenAI, and DeepGram, to ensure accurate and secure healthcare translations.

Features

• Voice Recording: Record real-time voice input with seamless integration.
• Audio Transcription: Transcribe recorded audio to text using AI-powered transcription models.
• Medical Term Enhancement: Enhance and correct medical terminology within the transcribed text.
• Text Translation: Translate the transcribed text into the selected target language using Google Translator.
• Text-to-Speech (TTS): Convert both the original and translated texts back to speech for better accessibility.
• Encryption & Security: Sensitive data such as audio files and translations are encrypted to ensure privacy and security.

Tech Stack

• Frontend:

  • Streamlit for the user interface
  • Custom audio recorder component for real-time recording
  • Deep integration with audio and text components

• Backend:

  • Groq for powerful AI model execution
  • DeepGram SDK for audio transcription
  • GoogleTranslator for text translation
  • gTTS (Google Text-to-Speech) for TTS conversion
  • Cryptography (Fernet) for data encryption
  • SQLAlchemy for secure database interactions (if applicable)

• Security:

  • End-to-end encryption of sensitive data (audio, text) via Fernet
  • Secure temporary file storage with controlled permissions

Installation

Prerequisites

1. Python 3.8+: Make sure you have Python 3.8 or higher installed.
2. Virtual Environment: We recommend using a virtual environment for managing dependencies.
   • To create a virtual environment:

     python -m venv venv

   • To activate the virtual environment:
     • Windows:

       venv\Scripts\activate

     • macOS/Linux:

       source venv/bin/activate

Installing Dependencies

Clone the repository and install the required packages:

git clone https://github.com/your-repository/healthcare-translation-app.git
cd healthcare-translation-app
pip install -r requirements.txt

Here is the entire content in Markdown (MD) format for your README:

markdown Copy code

Healthcare Translation Web App with Generative AI

Overview

The Healthcare Translation Web App is designed to bridge language barriers in healthcare settings by utilizing generative AI technologies. This web app offers features such as real-time voice recording, transcription, translation, medical term enhancement, and text-to-speech capabilities. The app integrates state-of-the-art AI models, including Groq, OpenAI, and DeepGram, to ensure accurate and secure healthcare translations.

Features

• Voice Recording: Record real-time voice input with seamless integration.
• Audio Transcription: Transcribe recorded audio to text using AI-powered transcription models.
• Medical Term Enhancement: Enhance and correct medical terminology within the transcribed text.
• Text Translation: Translate the transcribed text into the selected target language using Google Translator.
• Text-to-Speech (TTS): Convert both the original and translated texts back to speech for better accessibility.
• Encryption & Security: Sensitive data such as audio files and translations are encrypted to ensure privacy and security.

Tech Stack

• Frontend:

  • Streamlit for the user interface
  • Custom audio recorder component for real-time recording
  • Deep integration with audio and text components

• Backend:

  • Groq for powerful AI model execution
  • DeepGram SDK for audio transcription
  • GoogleTranslator for text translation
  • gTTS (Google Text-to-Speech) for TTS conversion
  • Cryptography (Fernet) for data encryption
  • SQLAlchemy for secure database interactions (if applicable)

• Security:

  • End-to-end encryption of sensitive data (audio, text) via Fernet
  • Secure temporary file storage with controlled permissions

Installation

Prerequisites

1. Python 3.8+: Make sure you have Python 3.8 or higher installed.
2. Virtual Environment: We recommend using a virtual environment for managing dependencies.
   • To create a virtual environment:

     python -m venv venv

   • To activate the virtual environment:
     • Windows:

       venv\Scripts\activate

     • macOS/Linux:

       source venv/bin/activate

Installing Dependencies

Clone the repository and install the required packages:

git clone https://github.com/your-repository/healthcare-translation-app.git
cd healthcare-translation-app
pip install -r requirements.txt
Configuration
Environment Variables: Make sure to set up the .env file with necessary keys.
ENCRYPTION_KEY: If not provided, one will be generated automatically.
api_key: API key for Groq model access.
Example .env file:

dotenv
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ENCRYPTION_KEY=your-encryption-key
api_key=your-groq-api-key
Usage
Running the App
To start the web app, simply run:

streamlit run app.py
This will open the web application in your default browser.

How the App Works:

Recording: Users can click the "Start Recording" button to record their voice. The app captures and processes the audio.

Audio Processing: After recording, the audio is transcribed to text using Groq and DeepGram SDK.

Medical Term Enhancement:

The transcribed text is passed through the AI model for enhancement and correction of medical terms.

Translation: The enhanced text is then translated into the selected target language using Google Translator.

Text-to-Speech: Users can play back both the original and translated text using the integrated gTTS feature.

Secure Storage: All sensitive data is encrypted and stored securely.

Audio File Formats: The app supports audio input in WAV format, which is automatically processed for transcription.

Supported Languages: The app currently supports translation between a wide range of languages, including:

English, Spanish, French, German, Italian, Portuguese, Chinese (Simplified & Traditional), Japanese, Korean, Hindi, Arabic, Russian, and more. Security Features

Data Encryption: All sensitive data, including recorded audio and transcriptions, is encrypted using Fernet encryption to ensure privacy.

Secure File Storage: Audio files are stored in temporary secure locations with restricted access.

Authentication & Authorization: Basic authentication mechanisms ensure only authorized users can access and process sensitive data.