Make same changes but in index.md inside folder code

website/learn/code/index.md

@@ -28,8 +28,11 @@ Notice that `deploy` needs a `HAL9_TOKEN` environment variable with an API token
 
 
 ```bash
-HAL9_TOKEN=H9YOURTOKEN hal9 deploy chatbot
+HAL9_TOKEN=H9YOURTOKEN hal9 deploy chatbot --name my_first_chatbot
 ```
+As easy as that you have created your first chatbot!
+
+![alt text](image-2.png)
 
 The code inside `/chatbot/app.py` contains a "Hello World" chatbot that reads the user prompt and echos the result back:
 
@@ -77,7 +80,13 @@ You can then run your project as follows:
 hal9 run chatbot
 ```
 
-If you customized your template with `--template` make sure to set the correct key, for example `export OPENAI_KEY=YOUR_OPENAI_KEY`.
+If you customized your template with `--template` make sure to set the correct key, for example, if you are using the OpenAI template use:
+
+```bash
+export OPENAI_KEY=YOUR_OPENAI_KEY.
+```
+For more information on obtaining and using your OpenAI API key, please refer to the [OpenAI API Key documentation](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key).
+
 
 You can then run your application locally with:
 
@@ -99,4 +108,4 @@ hal9 deploy chatbot --target hal9
 
 Each command is tasked with preparing the deployment of your project folder. For example, `--target docker` should create a `Dockerfile` file that gets this project ready to run in cloud containers.
 
-For personal use, `--target hal9` supports a free tier at `hal9.com`; enterprise support is also available to deploy with `--target hal9 --url hal9.yourcompany.com`
+For personal use, `--target hal9` supports a free tier at `hal9.com`; enterprise support is also available to deploy with `--target hal9 --url hal9.yourcompany.com`