vwkyc/assr

sentiment analysis on transcribed speech or text with multilingual capability

ASSR - Automatic Speech Sentiment Recognition

speech to text and sentiment analysis Webapp

CSAI308 - Introduction to Natural Language Processing / college project / March 2024.

Overview This web application leverages advanced technologies to provide speech-to-text conversion and comprehensive sentiment analysis. Core functions include:

Technical Foundation

• Open AI Whisper: Employed for robust multilingual speech-to-text capabilities.
• Google Cloud Natural Language API: Provides sophisticated sentiment analysis with multilingual compatibility.

Value Proposition ASSR has potential applications in various fields:

• Customer Service: Analyze call transcripts to gauge customer satisfaction and identify areas for improvement.
• Market Research: Assess sentiment towards products or brands through recorded interviews and focus groups.
• Accessibility: Assist individuals with hearing impairments by providing transcriptions enhanced with emotional context.

Project Status This project, developed for a Natural Language Processing course, demonstrates the power of combining AI technologies for nuanced language understanding. Note: This application can be deployed on the internet, allowing users to access it from anywhere.

Screenshots

Getting Started

Follow these steps to get started with ASSR:

1. Clone the repository and change current directory:

   git clone https://github.com/M1419/ASSR.git
   cd ASSR

2. Place a .env file in the root of the project. Add your OpenAI API key and Google application credentials inside it:

   Unix-like:

   echo "OPENAI_API_KEY=your_api_key_here" > .env
   echo "GOOGLE_APPLICATION_CREDENTIALS=\"./application_default_credentials.json\"" >> .env

   PowerShell:

   "OPENAI_API_KEY=your_api_key_here" | Out-File -FilePath .env -Encoding ascii
   "GOOGLE_APPLICATION_CREDENTIALS=\"./application_default_credentials.json\"" | Add-Content .env

   Verify the contents of the .env file:

   Unix-like:

   cat .env

   PowerShell:

   Get-Content .env

3. Place the application_default_credentials.json file in the root directory. For details, see Google Cloud's documentation.

4. Change current directory to root of ASSR and create and activate a virtual environment:

   Unix-like:

   python -m venv myenv
   source myenv/bin/activate

   PowerShell:

   py -m venv myenv
   .\myenv\Scripts\Activate

5. Install the required dependencies from the requirements.txt file:

   Unix-like:

   pip install -r requirements.txt

   PowerShell:

   pip install -r .\requirements.txt

6. Run the ASSR application:

   python app.py

7. Open the application in your browser at http://localhost:8080.