ConveneAI

Intelligent meeting tool that works with your data Watch the demo on YouTube

Frontend Setup

Navigate to frontend directory

cd frontend
npm i
npm start

Backend Setup

Overview

This backend service processes meeting transcripts to generate relevant email queries and summaries.

Prerequisites

• Install Conda.
• Ensure Python 3.10 is available in the Conda environment.

Setup

1. Create Conda Environment

To create the environment and install all dependencies from environment.yml, run:

# Create and activate environment
conda create -n meeting-assistant python=3.10
conda activate meeting-assistant
conda install --file requirements.txt

2. Environment Variables

Create a .env file in the project root with the necessary API keys:

OPENAI_API_KEY=
FLASK_ENV=development
FLASK_DEBUG=1
ANTHROPIC_API_KEY=

3. Create .credentials Directory

For secure storage of additional credentials (e.g., token.json for Gmail API access), create a .credentials directory in the backend:

# Create .credentials directory in backend
not

Note: Ask Anwar for the necessary tokens and place them in the .credentials directory.

Running the Server

To start the backend server, run:

# From the project root
python backend/run.py

The server will be available at http://localhost:5000.

Testing the Endpoints

1. Health Check

To confirm the server is running, check the health endpoint:

curl http://localhost:5000/health

2. Test with Sample Data

Try a sample query using:

curl http://localhost:5000/demo-queries

3. Test with Custom Transcript

To analyze a custom transcript, use:

curl -X POST http://localhost:5000/analyze-transcript \
  -H "Content-Type: application/json" \
  -d '{
    "transcript": "John: Can you find that budget email from Sarah? Mary: The one from last week with the Excel file?"
  }'

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