Added JS deployment guide

README.md

@@ -15,7 +15,7 @@ The Mistral GUI is located on https://huggingface.co/spaces/bistromd/Mistral
 
 The API endpoint is on https://bistromd-mistral--t49mg.hf.space/
 
-### Requirements for deployment
+### Requirements for deployment using Python
 I use the gradio_client Python library or the @gradio/client Javascript package to query the demo via API.
 
 ```
@@ -42,7 +42,30 @@ print(result)
 
 ## Return Type(s)
 str representing output in 'Message' Textbox component
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
+## Requirements for deployment using JS
+```
+$ npm i -D @gradio/client
+```
 
+### Named Endpoints
+api_name: /chat
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+```
+import { client } from "@gradio/client";
+
+const app = await client("https://bistromd-mistral--zr2ft.hf.space/");
+const result = await app.predict("/chat", [		
+				"Howdy!", // string  in 'Message' Textbox component		
+				0, // number (numeric value between 0.0 and 1.0) in 'Temperature' Slider component		
+				0, // number (numeric value between 0 and 1048) in 'Max new tokens' Slider component		
+				0, // number (numeric value between 0.0 and 1) in 'Top-p (nucleus sampling)' Slider component		
+				1, // number (numeric value between 1.0 and 2.0) in 'Repetition penalty' Slider component
+	]);
+
+console.log(result.data);
+```
+
+### Return Type(s)
+string representing output in 'Message' Textbox component