Metadata-Version: 2.1
Name: afiz-speech-text
Version: 0.0.2
Summary: Transcribe and understand your audio/video files super fast.
Home-page: https://github.com/afizs/afiz-speech-text
Author: Afiz
Author-email: itsafiz@gmail.com
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

afiz-speech-text
================

<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

Read more about AssemblyAI here 👇  
[Docs](https://www.assemblyai.com/docs)

## Install

``` sh
pip install afiz-speech-text
```

## How to use

This Library provides a
[`AssemblyAI`](https://afizs.github.io/afiz-speech-text/assemblyai.html#assemblyai)
class using which you can submit audio files for transcribing and
uderstanding it better.

First create the assembly_ai instance by providing the AssemblyAI API
KEY, which you can get it for free from
[here](https://app.assemblyai.com/)

``` python
assembly_ai = AssemblyAI(api_key=YOUR_API_KEY)
```

### Submit the audio url for transcription

``` python
res = assembly_ai.submit_url_for_transcription(audio_url="https://bit.ly/3yxKEIY")
```

``` python
res.get('id') # This id is used to extract the actual text from the audio files.
```

    'rs3c8julbq-177d-4071-ab6f-d7c7a9bb6dbb'

### Getting the Transcription Result

``` python
full_details = assembly_ai.get_transcription_results('rs3c8julbq-177d-4071-ab6f-d7c7a9bb6dbb')
```

``` python
print(full_details['text'])
```

    You know, demons on TV like that. And and for people to expose themselves to being rejected on TV or, you know, humili humiliated by Fear Factor or, you know.

We can check out other details like sentiment analysis from
`full_details`
