Bump release

README.md

@@ -9,14 +9,17 @@ This repo contains the content that's used to create the **[Hugging Face course]
 | [English](https://huggingface.co/course/en/chapter1/1) | [`chapters/en`](https://github.com/huggingface/course/tree/main/chapters/en) | [@sgugger](https://github.com/sgugger), [@lewtun](https://github.com/lewtun), [@LysandreJik](https://github.com/LysandreJik), [@Rocketknight1](https://github.com/Rocketknight1), [@sashavor](https://github.com/sashavor), [@osanseviero](https://github.com/osanseviero), [@SaulLu](https://github.com/SaulLu), [@lvwerra](https://github.com/lvwerra) |
 | [Chinese (simplified)](https://huggingface.co/course/zh/chapter1/1) (WIP) | [`chapters/zh`](https://github.com/huggingface/course/tree/main/chapters/zh) |  [@zhlhyx](https://github.com/zhlhyx), [petrichor1122](https://github.com/petrichor1122), [@1375626371](https://github.com/1375626371) |
 | [French](https://huggingface.co/course/fr/chapter1/1) (WIP) | [`chapters/fr`](https://github.com/huggingface/course/tree/main/chapters/fr) | [@lbourdois](https://github.com/lbourdois), [@ChainYo](https://github.com/ChainYo), [@melaniedrevet](https://github.com/melaniedrevet), [@abdouaziz](https://github.com/abdouaziz) |
+| [Gujarati](https://huggingface.co/course/gu/chapter1/1) (WIP) | [`chapters/gu`](https://github.com/huggingface/course/tree/main/chapters/gu) | [@pandyaved98](https://github.com/pandyaved98) |
 | [Hindi](https://huggingface.co/course/hi/chapter1/1) (WIP) | [`chapters/hi`](https://github.com/huggingface/course/tree/main/chapters/hi) | [@pandyaved98](https://github.com/pandyaved98) |
 | [Korean](https://huggingface.co/course/ko/chapter1/1) (WIP) | [`chapters/ko`](https://github.com/huggingface/course/tree/main/chapters/ko) | [@Doohae](https://github.com/Doohae) |
 | [Persian](https://huggingface.co/course/fa/chapter1/1) (WIP) | [`chapters/fa`](https://github.com/huggingface/course/tree/main/chapters/fa) | [@jowharshamshiri](https://github.com/jowharshamshiri), [@schoobani](https://github.com/schoobani) |
+| [Portuguese](https://huggingface.co/course/pt/chapter1/1) (WIP) | [`chapters/pt`](https://github.com/huggingface/course/tree/main/chapters/pt) | [@johnnv1](https://github.com/johnnv1), [@victorescosta](https://github.com/victorescosta), [@LincolnVS](https://github.com/LincolnVS) |
 | [Russian](https://huggingface.co/course/ru/chapter1/1) (WIP) | [`chapters/ru`](https://github.com/huggingface/course/tree/main/chapters/ru) | [@pdumin](https://github.com/pdumin), [@svv73](https://github.com/svv73) |
 | [Spanish](https://huggingface.co/course/es/chapter1/1) (WIP) | [`chapters/es`](https://github.com/huggingface/course/tree/main/chapters/es) | [@camartinezbu](https://github.com/camartinezbu), [@munozariasjm](https://github.com/munozariasjm), [@fordaz](https://github.com/fordaz)  |
 | [Thai](https://huggingface.co/course/th/chapter1/1) (WIP) | [`chapters/th`](https://github.com/huggingface/course/tree/main/chapters/th) | [@peeraponw](https://github.com/peeraponw), [@a-krirk](https://github.com/a-krirk), [@jomariya23156](https://github.com/jomariya23156), [@ckingkan](https://github.com/ckingkan) |
 | [Turkish](https://huggingface.co/course/tr/chapter1/1) (WIP) | [`chapters/tr`](https://github.com/huggingface/course/tree/main/chapters/tr) | [@tanersekmen](https://github.com/tanersekmen), [@mertbozkir](https://github.com/mertbozkir), [@ftarlaci](https://github.com/ftarlaci), [@akkasayaz](https://github.com/akkasayaz) |
 
+
 ### Translating the course into your language
 
 As part of our mission to democratise machine learning, we'd love to have the course available in many more languages! Please follow the steps below if you'd like to help translate the course into your language 🙏.

chapters/en/chapter9/2.mdx

@@ -1,5 +1,12 @@
 # Building your first demo
 
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section2.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section2.ipynb"},
+]} />
+
 Let's start by installing Gradio! Since it is a Python package, simply run:
 
 `$ pip install gradio `

chapters/en/chapter9/3.mdx

@@ -1,5 +1,12 @@
 # Understanding the Interface class
 
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section3.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section3.ipynb"},
+]} />
+
 In this section, we will take a closer look at the `Interface` class, and understand the
 main parameters used to create one.
 

chapters/en/chapter9/4.mdx

@@ -1,5 +1,12 @@
 # Sharing demos with others
 
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section4.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section4.ipynb"},
+]} />
+
 Now that you've built a demo, you'll probably want to share it with others. Gradio demos
 can be shared in two ways: using a ***temporary share link*** or ***permanent hosting on Spaces***.
 
@@ -21,10 +28,9 @@ To add additional content to your demo, the `Interface` class supports some opti
     - `live`: if you want to make your demo "live", meaning that your model reruns every time the input changes, you can set `live=True`. This makes sense to use with quick models (we'll see an example at the end of this section)
 Using the options above, we end up with a more complete interface. Run the code below so you can chat with Rick and Morty:
 
-```python out
+```py
 title = "Ask Rick a Question"
-description =
-"""
+description = """
 The bot was trained to answer questions based on Rick and Morty dialogues. Ask Rick anything!
 <img src="https://huggingface.co/spaces/course-demos/Rick_and_Morty_QA/resolve/main/rick.png" width=200px>
 """
@@ -38,7 +44,7 @@ gr.Interface(
     title=title,
     description=description,
     article=article,
-    examples=[["What are you doing?"], ["Where should we time travel to?"]]
+    examples=[["What are you doing?"], ["Where should we time travel to?"]],
 ).launch()
 ```
 
@@ -111,6 +117,7 @@ def predict(im):
 ```
 
 Now that we have a `predict()` function. The next step is to define and launch our gradio interface:
+
 ```py
 interface = gr.Interface(
     predict,

chapters/en/chapter9/5.mdx

@@ -1,5 +1,12 @@
 # Integrations with the Hugging Face Hub
 
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section5.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section5.ipynb"},
+]} />
+
 To make your life even easier, Gradio integrates directly with Hugging Face Hub and Hugging Face Spaces.
 You can load demos from the Hub and Spaces with only *one line of code*.
 

chapters/en/chapter9/6.mdx

@@ -1,6 +1,13 @@
 # Advanced Interface features
 
-Now that we can build and share a basic interface, let's explore some more advanced features such as state and interpretation.
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section6.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section6.ipynb"},
+]} />
+
+Now that we can build and share a basic interface, let's explore some more advanced features such as state, and interpretation.
 
 ### Using state to persist data
 

chapters/en/chapter9/7.mdx

@@ -1,5 +1,12 @@
 # Introduction to Gradio Blocks
 
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section7.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section7.ipynb"},
+]} />
+
 In the previous sections we have explored and created demos using the `Interface` class. In this section we will introduce our **newly developed** low-level API called `gradio.Blocks`.
 
 Now, what's the difference between `Interface` and `Blocks`?

chapters/fr/chapter9/2.mdx

@@ -1,5 +1,12 @@
 # Construire votre première démo
 
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section2.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section2.ipynb"},
+]} />
+
 Commençons par installer *Gradio* ! Comme il s'agit d'un *package* Python, il suffit de l'exécuter :
 
 `$ pip install gradio `

chapters/fr/chapter9/3.mdx

@@ -1,5 +1,12 @@
 # Comprendre la classe <i>Interface</i>
 
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section3.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section3.ipynb"},
+]} />
+
 Dans cette section, nous allons examiner de plus près la classe `Interface`, et comprendre les principaux paramètres utilisés pour en créer une.
 
 ## Comment créer une interface

chapters/fr/chapter9/4.mdx

@@ -1,5 +1,12 @@
 # Partager ses démos avec les autres
 
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section4.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section4.ipynb"},
+]} />
+
 Maintenant que vous avez construit une démo, vous voudrez probablement la partager à d'autres personnes. Les démos *Gradio* peuvent être partagées de deux façons : en utilisant un lien de partage temporaire (***temporary share link***) ou un hébergement permanent (***permanent hosting on Spaces***).
 
 Nous aborderons ces deux approches sous peu. Mais avant de partager votre démo, vous voudrez peut-être la peaufiner 💅.

chapters/fr/chapter9/5.mdx

@@ -1,5 +1,12 @@
 # Intégrations avec le <i>Hub d'Hugging Face</i>
 
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section5.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section5.ipynb"},
+]} />
+
 Pour vous rendre la vie encore plus facile, *Gradio* s'intègre directement avec *Hub* et *Spaces*.
 Vous pouvez charger des démos depuis le *Hub* et les *Spaces* avec seulement *une ligne de code*.
 

chapters/fr/chapter9/6.mdx

@@ -1,5 +1,12 @@
 # Fonctionnalités avancées de l'interface
 
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section6.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section6.ipynb"},
+]} />
+
 Maintenant que nous pouvons construire et partager une interface de base, explorons quelques fonctionnalités plus avancées comme l'état, l'interprétation et l'authentification.
 
 ### Utilisation de l'état pour faire persister les données

chapters/fr/chapter9/7.mdx

@@ -1,5 +1,12 @@
 # Introduction à la classe <i>Blocks</i>
 
+<DocNotebookDropdown
+  classNames="absolute z-10 right-0 top-0"
+  options={[
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section7.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section7.ipynb"},
+]} />
+
 Dans les sections précédentes, nous avons exploré et créé des démos en utilisant la classe `Interface`. Dans cette section, nous allons présenter une **nouvelle** API de bas niveau appelée `gradio.Blocks`.
 
 Quelle est la différence entre `Interface` et `Blocks` ?

chapters/hi/_toctree.yml

@@ -9,6 +9,10 @@
     title: परिचय
   - local: chapter1/2
     title: प्राकृतिक भाषा प्रसंस्करण
+  - local: chapter1/3
+    title: ट्रांसफार्मर, वे क्या कर सकते हैं?
+  - local: chapter1/4
+    title: ट्रांसफॉर्मर कैसे काम करते हैं?
 
 - title: 2. ट्रांसफॉर्मर का उपयोग करना
   sections: