ShopAI

Your own personalised wardrobe recommender!

Screenshots

Onboarding	Search Page	Chat Page

Team Members

• Amresh Prasad Sinha
• Vighnesh Deshpande
• Kunal Pal

How it works

Dev

Prerequisites

Packages

• Node Version: v18.x
• Package Manager: Yarn
• Python Version: >= v3.10
• GCP Cli: https://cloud.google.com/sdk/docs/install
• ngrok (for whatsapp chatbot): https://ngrok.com/download

Configs Required

• GCP Project Config
  • Make sure Vertex AI and Vision AI is enabled in API & Services
  • Rename the file as gcpconfig.json and place it in the backend directory
• Create an .env file with the following content

  OPEN_AI_API_KEY=<OPENAI_API_KEY>
  TWILIO_SID=<TWILIO_SID>
  TWILIO_AUTH_TOKEN=<TWILIO_AUTH_TOKEN>
  GCP_ACCESS_TOKEN=<GCP_ACCESS_TOKEN> # gcloud auth print-access-token
  GCP_PROJECT_ID=<GCP_PROJECT_ID> # Copy and Paste from gcpconfig.json
  

Install Dependencies

Note: Create a Virtual Env before running the below commands

1. Install frontend packages

   cd frontend && yarn && cd ..

2. Install backend packages

   cd backend && pip install -r requirements.txt && cd ..

Running the app

1. Scraping the Content (a cron job can be setup if running in production)

   cd backend && python instaScraper.py && cd ..

2. Analyzing the trend (a cron job can be setup if running in production)

   cd backend && python trendsAnalyzer.py && cd ..

3. Start the Frontend Server

   cd frontend && yarn build && yarn preview

4. In second terminal, start the backend server

   cd backend && uvicorn main:app --reload

Running the ChatBot

1. Make sure the backend server is on. You can turn it on by running the following command in the backend directory

   cd backend && uvicorn main:app --reload

2. Tunnel the backend through ngrok (in second terminal)

   ngrok http 8000

3. Change the Sandbox Configuration in Try Whatsapp section of your twilio app. Click here for steps

References

• GCP Vertex AI Vision Service API: https://cloud.google.com/vertex-ai/docs/generative-ai/image/image-captioning#img-cap-rest

• ChatGPT Prompt Engineering for Developers: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/