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Fix quickstart docs [skip ci]

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Reuben Morais 2021-09-13 13:08:14 +02:00
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doc/index.rst
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@ -26,7 +26,7 @@
Quickstart: Deployment Quickstart: Deployment
^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^
The fastest way to deploy a pre-trained 🐸STT model is with `pip` with Python 3.5 or higher (*Note - only Linux supported at this time. We are working to get our normally supported packages back up and running.*): The fastest way to deploy a pre-trained 🐸STT model is with `pip` with Python 3.6, 3.7, 3.8 or 3.9:
.. code-block:: bash .. code-block:: bash
@ -39,7 +39,7 @@ The fastest way to deploy a pre-trained 🐸STT model is with `pip` with Python
$ python -m pip install stt $ python -m pip install stt
# Download 🐸's pre-trained English models # Download 🐸's pre-trained English models
$ curl -LO https://github.com/coqui-ai/STT/releases/download/v0.9.3/coqui-stt-0.9.3-models.pbmm $ curl -LO https://github.com/coqui-ai/STT/releases/download/v0.9.3/coqui-stt-0.9.3-models.tflite
$ curl -LO https://github.com/coqui-ai/STT/releases/download/v0.9.3/coqui-stt-0.9.3-models.scorer $ curl -LO https://github.com/coqui-ai/STT/releases/download/v0.9.3/coqui-stt-0.9.3-models.scorer
# Download some example audio files # Download some example audio files
@ -47,7 +47,7 @@ The fastest way to deploy a pre-trained 🐸STT model is with `pip` with Python
$ tar -xvf audio-0.9.3.tar.gz $ tar -xvf audio-0.9.3.tar.gz
# Transcribe an audio file # Transcribe an audio file
$ stt --model coqui-stt-0.9.3-models.pbmm --scorer coqui-stt-0.9.3-models.scorer --audio audio/2830-3980-0043.wav $ stt --model coqui-stt-0.9.3-models.tflite --scorer coqui-stt-0.9.3-models.scorer --audio audio/2830-3980-0043.wav
.. toctree:: .. toctree::
:maxdepth: 1 :maxdepth: 1