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8 changes: 4 additions & 4 deletions docs/how_to/audio2text.md
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# Creating an Audio to Text App with Jina and DocArray V2
# Create an audio to text app with Jina and DocArray V2

This is how you can build an Audio to Text app using Jina, Docarray and Whisper
This is how you can build an Audio to Text app using Jina, DocArray and Whisper.

We will use:

* DocarrayV2: Helps us to load and preprocess multimodal data such as image, text and audio in our case
* DocArray V2: Helps us to load and preprocess multimodal data such as image, text and audio in our case
* Jina: Helps us serve the model quickly and create a client

First let's install requirements
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print(docs[0].text)
```

And we get the transcribed result!
And we get the transcribed result!
2 changes: 1 addition & 1 deletion docs/how_to/multimodal_training_and_serving.md
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name: python3
---

# Multi-Modal Deep learning with DocList
# Multimodal deep learning with DocList

DocList is a library for representing, sending, and storing multi-modal data that can be used for a variety of different
use cases.
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2 changes: 1 addition & 1 deletion docs/how_to/optimize_performance_with_id_generation.md
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# How to optimize performance
# Optimize performance

### `BaseDoc`'s id

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2 changes: 1 addition & 1 deletion docs/user_guide/intro.md
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# User Guide - Introduction
# Introduction

This user guide shows you how to use `DocArray` with most of its features.

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2 changes: 1 addition & 1 deletion docs/user_guide/sending/first_step.md
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# Sending
# Sending data
2 changes: 1 addition & 1 deletion docs/user_guide/storing/first_step.md
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# Storing
# Storing data
4 changes: 2 additions & 2 deletions mkdocs.yml
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nav:
- Home: README.md
- Tutorial - User Guide:
- Tutorial/User Guide:
- user_guide/intro.md
- Representing:
- Representing data:
- user_guide/representing/first_step.md
- user_guide/representing/array.md
- user_guide/sending/first_step.md
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