Conversation Analyzer

This project analyzes conversations between multiple speakers and provide insights into their personalities, emotions, biases, and intentions.

Features

• Transcribes audio conversations to text
• Analyzes the text to provide insights on character analysis, emotional analysis, biases, and intentions
• Hosted using Flask
• Deployed on Google Cloud Platform (GCP)
• Provides a RESTful API for easy integration into other applications

Link to web-app hosted on GCP: https://conversationanalyzer.wl.r.appspot.com/

RestAPI end point: https://conversationanalyzer.wl.r.appspot.com/api/analyze

Challenges Faced

• Dependency Resolution: One of the challenges encountered was resolving dependencies, especially when deploying the application on GCP. Ensuring that all required libraries and packages are installed and configured correctly was time-consuming.

• Prompt Optimization: Experimenting with different prompts to extract meaningful insights was also challenging. It required iterative testing and refinement to come up with prompts that could generate relevant and valuable responses from the GPT 3.5.

Instructions

Running the server

Use the link: https://conversationanalyzer.wl.r.appspot.com/

Upload a .wav/.mp3 file and click upload to see the analysis of the conversation.

Using API endpoint

Send a POST request to the following endpoint with the audio file as form data: https://conversationanalyzer.wl.r.appspot.com/api/analyze

Example of how to do this can be seen in the file extra_code/apitest.py

Running code locally

1. Clone the repository:

   git clone https://github.com/Karan-Malik/conversation-analyzer.git

2. Install requirements:

   git clone https://github.com/Karan-Malik/conversation-analyzer.git

3. Run the Flask application

   Windows:

   set FLASK_APP=sentiment.py
   flask run

   Mac OS/Linux:

   export FLASK_APP=sentiment.py
   flask run

4. Access application on local host at: http://127.0.0.1:5000/

##Technologies Used

1. Flask
2. Google Cloud Platform
3. Deepgram API
4. OpenAI API (GPT 3.5)