From b5e8ebb943addc5ee0c0513df368b036279b8657 Mon Sep 17 00:00:00 2001 From: Reuben Morais Date: Mon, 13 Sep 2021 13:08:14 +0200 Subject: [PATCH] Fix quickstart docs [skip ci] --- doc/index.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/doc/index.rst b/doc/index.rst index 1707d2ac..01dbfe87 100644 --- a/doc/index.rst +++ b/doc/index.rst @@ -26,7 +26,7 @@ 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 @@ -39,7 +39,7 @@ The fastest way to deploy a pre-trained 🐸STT model is with `pip` with Python $ python -m pip install stt # 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 # 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 # 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:: :maxdepth: 1