Add the demos

README.md

@@ -23,7 +23,7 @@ base_model:
 [![huggingface](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-FFD21E)](https://huggingface.co/Melady/TEMPO)
 [![License: MIT](https://img.shields.io/badge/License-Apache--2.0-green.svg)](https://opensource.org/licenses/Apache-2.0)
 
-<div align="center"><img src=./pics/TEMPO_logo.png width=60% /></div>
+![TEMPO_logo](pics/TEMPO_logo.png)
 
 The official model card for ICLR 2024 paper: "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)".
 
@@ -31,7 +31,8 @@ The official code for [["TEMPO: Prompt-based Generative Pre-trained Transformer
 
 TEMPO is one of the very first open source **Time Series Foundation Models** for forecasting task v1.0 version.
 
-<div align="center"><img src=./pics/TEMPO.png width=80% /></div>
+![TEMPO-architecture](pics/TEMPO.png)
+
 
 ## 💡 Demos
 
@@ -162,7 +163,7 @@ After training, we can test TEMPO model under the zero-shot setting:
 bash [ecl, etth1, etth2, ettm1, ettm2, traffic, weather]_test.sh
 ```
 
-<div align="center"><img src=./pics/results.jpg width=90% /></div>
+![TEMPO-results](pics/results.jpg)
 
 
 ## Pre-trained Models
@@ -173,16 +174,16 @@ You can download the pre-trained model from [[Google Drive]](https://drive.googl
 
 Here is the prompts use to generate the coresponding textual informaton of time series via [[OPENAI ChatGPT-3.5 API]](https://platform.openai.com/docs/guides/text-generation)
 
-<div align="center"><img src=./pics/TETS_prompt.png width=80% /></div>
+![TEMPO-prompt](pics/TETS_prompt.png)
 
 The time series data are come from [[S&P 500]](https://www.spglobal.com/spdji/en/indices/equity/sp-500/#overview). Here is the EBITDA case for one company from the dataset:
 
 
-<div align="center"><img src=./pics/Company1_ebitda_summary.png width=80% /></div>
+![Company1_ebitda_summary](pics/Company1_ebitda_summary.png)
 
 Example of generated contextual information for the Company marked above:
 
-<div align="center"><img src=./pics/Company1_ebitda_summary_words.jpg width=80% /></div>
+![Company1_ebitda_summary_words.jpg](pics/Company1_ebitda_summary_words.jpg.png)