Update README.md

README.md

@@ -1,52 +1,63 @@
-# Simple Virtual Try-On App using FASHN AI & Gradio
-
-This repository implements a simple virtual try-on app that uses the Gradio framework and the FASHN API as its backend.
-
-<p align="center">
-    <img src="./assets/screenshot.png" alt="app screenshot">
-</p>
-
-### Sign Up to FASHN
-This repository requires an API key from a FASHN account.
-Don't have an account yet? [Create an account](https://app.fashn.ai/).
-
-If you already have an account, go to Settings → API → `+ Create new API key`
-
-### Setup
-
-1. Clone this repository:
-```bash
-git clone https://github.com/fashn-AI/tryon-gradio-app
-cd tryon-gradio-app
-```
-
-2. Install the required packages:
-```bash
-pip install -r requirements.txt
-```
-
-### Usage
-
-1. Set the environment variable `FASHN_API_KEY` to the API key you created on the FASHN platform.
-```bash
-export FASHN_API_KEY="your-api-key"
-```
-2. Run the app:
-```bash
-python app.py
-```
-
-3. Open your browser and go to `http://localhost:7860/` to see the app in action.
-
-If you wish to deploy the app or share it with others, you can use the `share` function in Gradio to generate a public link.
-More on this can be found in the [Gradio documentation](https://gradio.app/docs).
-
-### Helpful Guides and Documentation
-
-To get the most out of the FASHN API, we recommend to read the following guides to better understand all node features and parameters:
-1. [FASHN Features Guide: Part I (Model & Garment Controls)](https://fashn.ai/blog/getting-the-best-virtual-try-on-results-part-i)
-2. [FASHN Features Guide: Part II (Sampling Controls)](https://fashn.ai/blog/getting-the-best-virtual-try-on-results-part-ii)
-
-You can also review the official [API Docs](https://docs.fashn.ai/) for a concise summary of each of the parameters function and usage.
-
-
+metadata
+title: Ammar Virtual Try-On
+emoji: 👕
+colorFrom: purple
+colorTo: gray
+sdk: gradio
+sdk_version: 4.43.0
+app_file: app.py
+pinned: true
+license: apache-2.0
+disable_embedding: true
+# Simple Virtual Try-On App using FASHN AI & Gradio
+
+This repository implements a simple virtual try-on app that uses the Gradio framework and the FASHN API as its backend.
+
+<p align="center">
+    <img src="./assets/screenshot.png" alt="app screenshot">
+</p>
+
+### Sign Up to FASHN
+This repository requires an API key from a FASHN account.
+Don't have an account yet? [Create an account](https://app.fashn.ai/).
+
+If you already have an account, go to Settings → API → `+ Create new API key`
+
+### Setup
+
+1. Clone this repository:
+```bash
+git clone https://github.com/fashn-AI/tryon-gradio-app
+cd tryon-gradio-app
+```
+
+2. Install the required packages:
+```bash
+pip install -r requirements.txt
+```
+
+### Usage
+
+1. Set the environment variable `FASHN_API_KEY` to the API key you created on the FASHN platform.
+```bash
+export FASHN_API_KEY="your-api-key"
+```
+2. Run the app:
+```bash
+python app.py
+```
+
+3. Open your browser and go to `http://localhost:7860/` to see the app in action.
+
+If you wish to deploy the app or share it with others, you can use the `share` function in Gradio to generate a public link.
+More on this can be found in the [Gradio documentation](https://gradio.app/docs).
+
+### Helpful Guides and Documentation
+
+To get the most out of the FASHN API, we recommend to read the following guides to better understand all node features and parameters:
+1. [FASHN Features Guide: Part I (Model & Garment Controls)](https://fashn.ai/blog/getting-the-best-virtual-try-on-results-part-i)
+2. [FASHN Features Guide: Part II (Sampling Controls)](https://fashn.ai/blog/getting-the-best-virtual-try-on-results-part-ii)
+
+You can also review the official [API Docs](https://docs.fashn.ai/) for a concise summary of each of the parameters function and usage.
+
+