Test build for GPU snap (#773)

CONTRIBUTING.md

@@ -42,7 +42,7 @@ Log files contain valuable information about what the Buzz was doing before the
 5. Install the dependencies `poetry install`
 6. Install system dependencies you may be missing 
 ```
-sudo apt-get install --no-install-recommends libyaml-dev libegl1-mesa libxkbcommon-x11-0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 libxcb-xinerama0 libxcb-shape0 libxcb-cursor0 libportaudio2 gettext libpulse0
+sudo apt-get install --no-install-recommends libyaml-dev libegl1-mesa libxkbcommon-x11-0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 libxcb-xinerama0 libxcb-shape0 libxcb-cursor0 libportaudio2 gettext libpulse0 ffmpeg
 ```
 7. Build Buzz `poetry build`
 8. Run Buzz `python -m buzz`

docs/docs/faq.md

@@ -15,7 +15,7 @@ sidebar_position: 5
 
 3. **How to record system audio?**
 
-   To transcribe system audio you need to configure virtual audio device and connect output from the applications you whant to transcribe to this virtual speaker. After that you can select it as source in the Buzz. See [Usage](https://chidiwilliams.github.io/buzz/docs/usage#live-recording) section for more details.
+   To transcribe system audio you need to configure virtual audio device and connect output from the applications you want to transcribe to this virtual speaker. After that you can select it as source in the Buzz. See [Usage](https://chidiwilliams.github.io/buzz/docs/usage#live-recording) section for more details.
 
    Relevant tools:
    - Mac OS - [BlackHole](https://github.com/ExistentialAudio/BlackHole).

docs/docs/usage/live_recording.md

@@ -57,13 +57,13 @@ To transcribe system audio you need to configure virtual audio device and connec
 
 1. Install [VB CABLE](https://vb-audio.com/Cable/) as virtual audio device. 
 
-2. Configure using Windows Sound settings. Right click on the speaker icon in the system tray and select "Open Sound settings". In the "Choose your output device" dropdown select "CABLE Input" to send all system sound to the virtual device or use "Advanced sound options" to spelect application that will output theit sound to this device.
+2. Configure using Windows Sound settings. Right-click on the speaker icon in the system tray and select "Open Sound settings". In the "Choose your output device" dropdown select "CABLE Input" to send all system sound to the virtual device or use "Advanced sound options" to select application that will output their sound to this device.
 
 ### Record audio playing from computer (Linux)
 
 As described on [Ubuntu Wiki](https://wiki.ubuntu.com/record_system_sound) on any Linux with pulse audio you can redirect application audio to a virtual speaker. After that you can select it as source in Buzz.
 
 Overall steps:
 1. Launch application that will produce the sound you want to transcribe and start the playback. For example start a video in a media player. 
-2. Launch Buzz and open Live recording screen so you see the settings.
+2. Launch Buzz and open Live recording screen, so you see the settings.
 3. Configure sound routing from the application you want to transcribe sound from to Buzz in `Recording tab` of the PulseAudio Volume Control (`pavucontrol`). 

snap/snapcraft.yaml

@@ -25,6 +25,7 @@ parts:
     plugin: make
     make-parameters: [ "FLAVOR=qt5" ]
     build-packages:
+      - build-essential
       - qtbase5-dev
       - dpkg-dev
     stage-packages:
@@ -39,6 +40,7 @@ parts:
       - libgdk-pixbuf2.0-0
       - libqt5svg5 # for loading icon themes which are svg
       - libglib2.0-0
+      - xdg-user-dirs
     override-prime: |
       craftctl default
       glib-compile-schemas usr/share/glib-2.0/schemas
@@ -98,14 +100,12 @@ parts:
       - libxcb-xinerama0
       - libxcb-shape0
       - libxcb-cursor0
+      # GPU
+      - libglu1-mesa
     override-build: |
       craftctl default
       pip install poetry
       pip install .
-      # Switch to CPU torch
-      pip uninstall -y torch torchaudio nvidia-cublas-cu12 nvidia-cuda-cupti-cu12 nvidia-cuda-nvrtc-cu12 nvidia-cuda-runtime-cu12 nvidia-cudnn-cu12 nvidia-cufft-cu12 nvidia-curand-cu12 nvidia-cusolver-cu12 nvidia-cusparse-cu12 nvidia-nccl-cu12 nvidia-nvjitlink-cu12 nvidia-nvtx-cu12
-      python3 -m pip install torch torchaudio --extra-index-url https://download.pytorch.org/whl/cpu
-      # Switch to ctranslate2 that has no execstack issues
       pip uninstall -y ctranslate2
       pip install https://github.com/raivisdejus/CTranslate2-no-execstack/releases/download/v4.2.1/ctranslate2-4.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
       python3 build.py