Like Her - AI Personal Assistant

A personal AI assistant inspired by the movie "Her" (2013), designed for the Google Cloud Japan AI Hackathon Vol.2.

Last updated: April 26, 2025

Project Overview

This project creates a human-like voice assistant that:

• Provides conversational AI with voice input/output
• Delivers personalized insights based on health data
• Offers AI industry news and stock updates
• Uses a terminal-like interface for a unique aesthetic

Architecture

The application consists of three main components:

• Frontend: Streamlit-based UI with voice interaction capabilities
• API: Backend service that integrates with local LLM and external APIs
• Scheduler: Handles regular tasks like news fetching and health data analysis

Tech Stack

• ML Model: Local Swallow1.5 model by sakana.ai
• Frontend: Streamlit with terminal-like UI
• Backend: FastAPI
• Infrastructure: Google Cloud (deployed via Terraform)
• Data Storage: BigQuery
• Containerization: Docker
• Health Data: Huawei Health Kit API

Local Development

Prerequisites

• Docker and Docker Compose
• Google Cloud CLI (for deployment)
• Terraform (for infrastructure management)

Getting Started

1. Clone the repository:

   git clone https://github.com/yourusername/like-her.git
   cd like-her
   

2. Run the application locally:

   docker-compose up
   

3. Access the application:

   • Frontend: http://localhost:8501
   • API: http://localhost:8080

Deployment

Setting up Google Cloud

1. Create a new Google Cloud project
2. Enable required APIs:
   • Cloud Run
   • Cloud Scheduler
   • BigQuery
   • Artifact Registry

Deploying with Terraform

1. Navigate to the infrastructure directory:

   cd infrastructure/terraform
   

2. Initialize Terraform:

   terraform init
   

3. Create a terraform.tfvars file with your project information:

   project_id = "your-gcp-project-id"
   

4. Apply the Terraform configuration:

   terraform apply
   

Project Structure

.
├── app
│   ├── api              # Backend API service
│   ├── frontend         # Streamlit UI
│   └── scheduler        # Scheduled jobs
├── data                 # Data storage (local development)
├── docs                 # Documentation
├── infrastructure       # IaC with Terraform
│   └── terraform
└── docker-compose.yml   # Local development orchestration

Hackathon Link

Google Cloud Japan AI Hackathon Vol.2