Added better documentation to web server example in docs (#603)

* Added modal labs example to documentation

* Added gpt4all chat

gpt4all-bindings/python/docs/gpt4all_chat.md

@@ -13,15 +13,14 @@ GPT4All Chat comes with a built-in server mode allowing you to programmatically
 with any supported local LLM through a *very familiar* HTTP API. You can find the API documentation [here](https://platform.openai.com/docs/api-reference/completions).
 
 Enabling server mode in the chat client will spin-up on an HTTP server running on `localhost` port
-`4891` (the reverse of 1984).
+`4891` (the reverse of 1984). You can enable the webserver via `GPT4All Chat > Settings > Enable web server`.
 
-You can begin using local LLMs in your AI powered apps by changing a single line of code: the bath path for requests.
+Begin using local LLMs in your AI powered apps by changing a single line of code: the bath path for requests.
 
 ```python
-import os
 import openai
 
-openai.api_base = "http://localhost:4891/v1" 
+openai.api_base = "http://localhost:4891/v1"
 #openai.api_base = "https://api.openai.com/v1"
 
 openai.api_key = "not needed for a local LLM"
@@ -48,3 +47,27 @@ response = openai.Completion.create(
 # Print the generated completion
 print(response)
 ```
+
+which gives the following response
+
+```json
+{
+  "choices": [
+    {
+      "finish_reason": "stop",
+      "index": 0,
+      "logprobs": null,
+      "text": "Who is Michael Jordan?\nMichael Jordan is a former professional basketball player who played for the Chicago Bulls in the NBA. He was born on December 30, 1963, and retired from playing basketball in 1998."
+    }
+  ],
+  "created": 1684260896,
+  "id": "foobarbaz",
+  "model": "gpt4all-j-v1.3-groovy",
+  "object": "text_completion",
+  "usage": {
+    "completion_tokens": 35,
+    "prompt_tokens": 39,
+    "total_tokens": 74
+  }
+}
+```