docs: Update local deployment info and getting the right HF token

src/distilabel_dataset_generator/apps/faq.py

@@ -29,7 +29,7 @@ with gr.Blocks() as app:
 
                     <h4 style="text-align: center;">Can I run this locally?</h4>
 
-                    <p>Yes, you can run this locally by <a href="https://huggingface.co/spaces/argilla/synthetic-data-generator?clone=true" target="_blank">cloning the Space</a> and installing the requirements with `pip install -r requirements.txt` and running `python app.py`. Alternatively, you can install the <a href="https://github.com/argilla-io/distilabel" target="_blank">distilabel library</a> with `pip install distilabel[hf-inference-endpoints]` and use the pipeline code at the bottom of each application tab. Distilabel also supports running the pipeline with <a href="https://distilabel.argilla.io/latest/components-gallery/llms/" target="_blank">other LLMs</a>.</p>
+                    <p>Yes, you can run this locally by <a href="https://huggingface.co/spaces/argilla/synthetic-data-generator?clone=true" target="_blank">cloning the Space</a> and installing the requirements with `pip install -r requirements.txt` and running `python app.py`. Alternatively, you can install the <a href="https://github.com/argilla-io/distilabel" target="_blank">distilabel library</a> with `pip install distilabel[hf-inference-endpoints]` and use the pipeline code at the bottom of each application tab. Distilabel also supports running the pipeline with <a href="https://distilabel.argilla.io/latest/components-gallery/llms/" target="_blank">other LLMs</a>. Do make sure to get a valid <a href="https://huggingface.co/settings/tokens/new?ownUserPermissions=repo.content.read&ownUserPermissions=repo.write&globalPermissions=inference.serverless.write&canReadGatedRepos=true&tokenType=fineGrained" target="_blank">Hugging Face Token</a> that allows for calling serverless inference endpoints and create datasets on the Hugging Face Hub.</p>
 
                     <h4 style="text-align: center;">What is distilabel?</h4>
 

src/distilabel_dataset_generator/apps/sft.py

@@ -386,6 +386,9 @@ with gr.Blocks(
         return gr.Markdown(visible=False)
 
     gr.Markdown("## Or run this pipeline locally with distilabel")
+    gr.Markdown(
+        "You can run this pipeline locally with distilabel. For more information, please refer to the [distilabel documentation](https://distilabel.argilla.io/) or go to the FAQ tab at the top of the page for more information."
+    )
 
     with gr.Accordion(
         "Run this pipeline using distilabel",

src/distilabel_dataset_generator/pipelines/sft.py

@@ -180,7 +180,7 @@ from distilabel.llms import InferenceEndpointsLLM
 
 MODEL = "{MODEL}"
 SYSTEM_PROMPT = "{system_prompt}"
-os.environ["HF_TOKEN"] = "hf_xxx" # https://huggingface.co/settings/tokens/new?globalPermissions=inference.serverless.write&tokenType=fineGrained
+os.environ["HF_TOKEN"] = "hf_xxx" # https://huggingface.co/settings/tokens/new?ownUserPermissions=repo.content.read&ownUserPermissions=repo.write&globalPermissions=inference.serverless.write&canReadGatedRepos=true&tokenType=fineGrained
 
 with Pipeline(name="sft") as pipeline:
     magpie = MagpieGenerator(