Derek/fixing s2s 3 (#2427)

* Making GUI and API the same

* Updating the title

_blog.yml

@@ -4829,7 +4829,7 @@
  - open-source
 
 - local: s2s_endpoint
- title: "Deploying Speech-to-Speech on Hugging Face Inference Endpoints with a Custom Docker Container"
+ title: "Deploying Speech-to-Speech on Hugging Face"
  author: andito
  thumbnail: /blog/assets/s2s_endpoint/thumbnail.png
  date: October 1, 2024

s2s_endpoint.md

@@ -1,5 +1,5 @@
 ---
-title: "Deploying Speech-to-Speech on Hugging Face Inference Endpoints with a Custom Docker Container" 
+title: "Deploying Speech-to-Speech on Hugging Face" 
 thumbnail: /blog/assets/s2s_endpoint/thumbnail.png
 authors:
 - user: andito
@@ -9,7 +9,7 @@ authors:
 
 ---
 
-# Deploying Speech-to-Speech on Hugging Face Inference Endpoints with a Custom Docker Container
+# Deploying Speech-to-Speech on Hugging Face
 ## Introduction
 
 [Speech-to-Speech (S2S)](https://github.com/huggingface/speech-to-speech) is an exciting new project from Hugging Face that combines several advanced models to create a seamless, almost magical experience: you speak, and the system responds with a synthesized voice. 
@@ -153,7 +153,7 @@ Pre-Steps
 
 > [!WARNING] The current [huggingface-inference-toolkit entrypoint](https://github.com/huggingface/huggingface-inference-toolkit/blob/028b8250427f2ab8458ed12c0d8edb50ff914a08/scripts/entrypoint.sh#L4) uses port 5000 as default, but the inference endpoint expects port 80. You should match this in the **Container Port**. We already set it in our dockerfile, but beware if making your own from scratch!
 
-## Inference Endpoints API
+### Inference Endpoints API
 
 Here we will walk through the steps for creating the endpoint with the API. Just use this code in your python environment of choice.