README.md

metadata

title: Contact Center Operations
emoji: ⚡
colorFrom: red
colorTo: green
sdk: docker
pinned: false
license: mit
short_description: Contact Center Operation Insights

Contact Center Operations

A FastAPI application for contact center operation insights and analytics.

System Requirements

This application requires FFmpeg for audio processing capabilities.

Local Development Setup

Follow these steps to run the FastAPI application locally on your machine.

Prerequisites

• Python 3.11
• Git
• FFmpeg (for audio processing)

Installing FFmpeg

On Ubuntu/Debian:

sudo apt-get update
sudo apt-get install ffmpeg

On macOS:

brew install ffmpeg

On Windows: Download from FFmpeg official site and add to PATH.

Installation

1. Clone the repository

   git clone 
   

2. Create a virtual environment

   Option A: Using venv

   python3.11 -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

   Option B: Using conda

   conda create -n contact-center python=3.11
   conda activate contact-center
   

3. Install dependencies

   pip install -r requirements.txt
   

4. Set up environment variables Create a .env file in the backend directory:

   GEMINI_API_KEY=your_api_key_here
   

5. Run the application

   python api.py
   

The FastAPI application will start and be available at http://localhost:8000.

API Documentation

Once the application is running, you can access:

• Interactive API documentation: http://localhost:8000/docs
• Alternative API documentation: http://localhost:8000/redoc

Deactivating the Environment

When you're done working with the application:

For venv:

deactivate

For conda:

conda deactivate

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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference