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A newer version of the Gradio SDK is available: 6.0.2

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metadata
title: Ai Virtual Tryon
emoji: 🌍
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false

AI Virtual Try-On & Fashion Advisor

🌍 An all-in-one, AI fashion assistant and virtual try-on system. This interactive web app combines computer vision, conversational AI, and web automation to deliver:

  • Realistic virtual try-on results
  • Automated outfit analysis and style advice
  • Personalized fashion chatbot
  • Similar item search and automated shopping

🛍️ Features

1. Virtual Try-On & Outfit Analysis

  • Upload Clothing & Avatar Images: Upload a clothing item and an avatar/person image.
  • AI Try-On Generation: Generates a virtual try-on using the try-on-diffusion API.
  • BLIP/CLIP Analysis: Automatically analyzes the try-on result with BLIP (captioning) and CLIP (fashion prompts).
  • LLM Fashion Advice: TinyLlama LLM provides detailed, context-aware fashion advice based on the analysis.
  • Unified Results: See the generated try-on image, AI analysis, and advice together in one place.

2. Fashion Chatbot

  • Conversational AI Stylist: Chat with a TinyLlama-powered stylist for personalized fashion tips.
  • Context-Aware: The chatbot uses your latest try-on and analysis for relevant, tailored answers.

3. Find Similar & Shopping Automation

  • Similar Outfit Search: Upload any fashion image to get recommendations for similar outfits, accessories, and alternative colors.
  • Store Suggestions: Recommendations include suggested stores and links.
  • Automated Shopping: Uses Playwright automation to search and compare prices across e-commerce sites.

4. Modern, User-Friendly UI

  • Tabbed Gradio Interface: Clean, modern layout for easy navigation between try-on, chatbot, and similar item search.

🏗️ Architecture

  • Frontend: Gradio (for Hugging Face Spaces)
  • Backend: Flask API server (runs in background)
  • AI Models: BLIP, CLIP, TinyLlama (all open-source, loaded on demand)
  • Automation: Playwright for web scraping and product search

How It Works

  1. All AI models (BLIP, CLIP, TinyLlama) are loaded and run in the backend.
  2. Try-on images are generated via the external try-on-diffusion API (RapidAPI key required).
  3. The app is organized into tabs for a seamless user experience.

Requirements

  • Python 3.8+
  • All dependencies listed in requirements.txt
  • A valid RapidAPI key for try-on-diffusion (set in app.py)

🚦 Usage

  1. Clone this repo and open in Hugging Face Spaces or run locally.
  2. Install requirements:
    pip install -r requirements.txt
  3. Run the app:
    python app.py
  4. Use the web UI:
    • Try-On & Analysis: Upload images, generate try-on, get analysis and advice.
    • Chatbot: Ask fashion questions with context.
    • Find Similar: Get recommendations for similar outfits and shopping links.

🛠️ Setup & Deployment

  1. All dependencies are listed in requirements.txt.
  2. The backend Flask server is started automatically by app.py.
  3. The Gradio interface is the entry point for Hugging Face Spaces.
  4. For Playwright automation, ensure a postBuild file exists with:
    playwright install chromium

Credits

License

MIT