0.0 ⭐ (1)

Vinted Image Search Assistant

Test this app for free
3937
import logging
import os
import requests
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app
from abilities import upload_file_to_storage, url_for_uploaded_file, llm
from flask import render_template, request, redirect, url_for, flash, jsonify
from werkzeug.utils import secure_filename

# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'gif'}

def allowed_file(filename):
    return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS

@app.route("/")
def home():
    return render_template("home.html")
Get full code

Created: | Last Updated:

Web application for uploading images, analyzing them with AI, and searching for similar items on Vinted using API.

How to Use the Vinted Image Search Assistant Template

This template creates a web application that allows users to upload images, analyze them with AI, and find similar items on Vinted. The app requires a RapidAPI subscription to access the Vinted API.

Getting Started

  • Click "Start with this Template" to begin using this template in the Lazy Builder

Initial Setup

You'll need to set up a RapidAPI key to use this template:

  • Visit the Vinted API on RapidAPI
  • Sign up for a free RapidAPI account if you don't have one
  • Subscribe to the Vinted API (free tier available)
  • Go to the API Playground
  • Copy your X-RapidAPI-Key
  • In the Lazy Builder, go to the Environment Secrets tab
  • Add a new secret with the key RAPIDAPI_API_KEY and paste your RapidAPI key as the value

Test the Application

  • Click the "Test" button in the Lazy Builder
  • Wait for deployment to complete
  • Lazy will provide you with a URL to access your web application

Using the Application

Once deployed, you can use the application through its web interface:

  • Upload an image by clicking "Choose File" or "Take Photo"
  • The app will display a preview of your selected image
  • Click "Find Similar Items" to analyze the image
  • The app will display:
  • Analysis of the image (colors, category, keywords)
  • Similar items found on Vinted with prices and links
  • Click "Search Again" to analyze another image

The application provides a responsive interface that works on both desktop and mobile devices, allowing you to either upload images from your device or take photos directly through your device's camera.



Template Benefits

  1. Enhanced Product Discovery
  2. Enables users to find similar products on Vinted by simply uploading a photo
  3. Reduces search time and improves customer experience through visual search capabilities
  4. Perfect for fashion retailers and consumers looking to find specific styles or items

  5. AI-Powered Analysis

  6. Automatically analyzes uploaded images for colors, categories, and key features
  7. Provides intelligent keyword generation for more accurate search results
  8. Eliminates manual tagging and categorization effort

  9. Mobile-First Design

  10. Responsive interface works seamlessly across all devices
  11. Includes camera integration for instant photo capture
  12. Provides an optimal user experience for on-the-go shopping

  13. E-commerce Integration

  14. Direct integration with Vinted's marketplace through RapidAPI
  15. Enables immediate price comparison and purchase options
  16. Facilitates quick access to similar items at various price points

  17. Scalable Architecture

  18. Built with modern web technologies (Flask, SQLAlchemy, Gunicorn)
  19. Includes database migration system for easy updates
  20. Supports high concurrent users with multiple workers configuration

Technologies

Streamline CSS Development with Lazy AI: Automate Styling, Optimize Workflows and More Streamline CSS Development with Lazy AI: Automate Styling, Optimize Workflows and More
Flask Templates from Lazy AI – Boost Web App Development with Bootstrap, HTML, and Free Python Flask Flask Templates from Lazy AI – Boost Web App Development with Bootstrap, HTML, and Free Python Flask
Enhance HTML Development with Lazy AI: Automate Templates, Optimize Workflows and More Enhance HTML Development with Lazy AI: Automate Templates, Optimize Workflows and More
Streamline JavaScript Workflows with Lazy AI: Automate Development, Debugging, API Integration and More  Streamline JavaScript Workflows with Lazy AI: Automate Development, Debugging, API Integration and More
Python App Templates for Scraping, Machine Learning, Data Science and More Python App Templates for Scraping, Machine Learning, Data Science and More

Similar templates

Open Source LLM based Web Chat Interface

This app will be a web interface that allows the user to send prompts to open source LLMs. It requires to enter the openrouter API key for it to work. This api key is free to get on openrouter.ai and there are a bunch of free opensource models on openrouter.ai so you can make a free chatbot. The user will be able to choose from a list of models and have a conversation with the chosen model. The conversation history will be displayed in chronological order, with the oldest message on top and the newest message below. The app will indicate who said each message in the conversation. The app will show a loader and block the send button while waiting for the model's response. The chat bar will be displayed as a sticky bar at the bottom of the page, with 10 pixels of padding below it. The input field will be 3 times wider than the default size, but it will not exceed the width of the page. The send button will be on the right side of the input field and will always fit on the page. The user will be able to press enter to send the message in addition to pressing the send button. The send button will have padding on the right side to match the left side. The message will be cleared from the input bar after pressing send. The last message will now be displayed above the sticky input block, and the conversation div will have a height of 80% to leave space for the model selection and input fields. There will be some space between the messages, and the user messages will be colored in green while the model messages will be colored in grey. The input will be blocked when waiting for the model's response, and a spinner will be displayed on the send button during this time.

Icon 1 Icon 1
604

We found some blogs you might like...