Add video preview for TimeCraft

README.md

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 ![Logo](./figures/TimeCraft2.png)
+
+https://github.com/user-attachments/assets/35bc7ee3-f7a2-4949-96fc-1d1b977e0df1
+
 # Time Series Generation for Real-World Applications 
 The rapid advancement of artificial intelligence has increasingly emphasized the critical role of time series data in powering intelligent decision-making across diverse domains, including healthcare, finance, energy, and transportation. In these fields, the ability to generate high-quality synthetic time series has become particularly valuable. **Time series generation** technology plays a vital role in alleviating **data scarcity**, especially in scenarios where collecting real-world data is expensive, time-consuming, or impractical. It also enables **privacy-preserving** analysis by producing realistic but non-identifiable synthetic data, reducing the risks associated with sharing sensitive information. Moreover, it supports **simulation and forecasting in risk-free environments**, allowing researchers and practitioners to safely explore hypothetical scenarios and train robust models. Together, these capabilities make time series generation an essential tool for a wide range of real-world applications.
 

demo_dev/README.md

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+# Overview
+
+Here is the source code for building the demo in the TimeCraft video on the homepage. A simple web visualization page is set up using Node.js.
+
+
+## Usage 
+
+### 1. Install the Node.js from https://nodejs.org
+
+
+### 2. Install Dependencies
+
+```bash
+npm install
+```
+
+### 3. Run to visualize the demo pages
+
+```bash
+npm run dev
+```
+
+