Helpdesk Sentiment Analysis Prototype

This is a prototype for a Speech to Sentiment Analyzer, designed to analyze the sentiment of spoken messages using Streamlit, the VaderSentiment library, and SpeechRecognition. It's intended to provide a quick demonstration of the concept.

How to Run

Follow these steps to run the prototype:

1. Clone the Repository
2. Install Dependencies

pip install streamlit

pip install vaderSentiment

pip install SpeechRecognition

3. Run the Prototype

streamlit run helpdesk_sentiment_analysis_prototype.py

• This will launch a local development server and open the app in your default web browser.

4. Analyze Sentiment

Click the "Record" button to start recording audio. Speak a message, and the prototype will display the sentiment analysis results.

Video Demonstration

Watch the prototype in action by viewing the YouTube video.

Note

This is a working prototype meant for demonstration purposes. The full project contains additional features and functionalities. This prototype serves as a simple example of how the sentiment analysis of incoming calls in a helpdesk setting could be implemented.