update success message based on argilla availability

src/distilabel_dataset_generator/apps/base.py

@@ -475,6 +475,27 @@ def get_success_message_row() -> gr.Markdown:
 
 def show_success_message(org_name, repo_name) -> gr.Markdown:
     client = get_argilla_client()
+    if client is None:
+        return gr.Markdown(
+            value="""
+            <div style="padding: 1em; background-color: #e6f3e6; border-radius: 5px; margin-top: 1em;">
+                <h3 style="color: #2e7d32; margin: 0;">Dataset Published Successfully!</h3>
+                <p style="margin-top: 0.5em;">
+                The generated dataset is in the right format for fine-tuning with TRL, AutoTrain, or other frameworks. Your dataset is now available at:
+                <a href="https://huggingface.co/datasets/{org_name}/{repo_name}" target="_blank" style="color: #1565c0; text-decoration: none;">
+                    https://huggingface.co/datasets/{org_name}/{repo_name}
+                    </a>
+                </p>
+                <p style="margin-top: 1em; font-size: 0.9em; color: #333;">
+                    By configuring an `ARGILLA_API_URL` and `ARGILLA_API_KEY` you can curate the dataset in Argilla.
+                    Unfamiliar with Argilla? Here are some docs to help you get started:
+                    <br>• <a href="https://docs.argilla.io/latest/getting_started/quickstart/" target="_blank">How to get started with Argilla</a>
+                    <br>• <a href="https://docs.argilla.io/latest/how_to_guides/annotate/" target="_blank">How to curate data in Argilla</a>
+                    <br>• <a href="https://docs.argilla.io/latest/how_to_guides/import_export/" target="_blank">How to export data once you have reviewed the dataset</a>
+                </p>
+            </div>
+            """
+        )
     argilla_api_url = client.api_url
     return gr.Markdown(
         value=f"""