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InfinitodeInfinitode
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Added new whisper workaround to import assets into application path.
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‎.github/workflows/build.yml‎

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@@ -30,14 +30,14 @@ jobs:
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if: matrix.os == 'macos-latest'
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run: |
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pip install pillow
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pyinstaller --onefile --name Scriptify --icon web/favicon.ico --add-data "ffmpeg/ffmpeg_mac.zip:ffmpeg" --add-data "whisper:whisper" \
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pyinstaller --onefile --name Scriptify --icon web/favicon.ico --add-data "ffmpeg/ffmpeg_mac.zip:ffmpeg" --hidden-import="whisper" --add-data "whisper:whisper" \
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--add-data "web:web" --add-data "js:js" --add-data "index.html:." --add-data "launch.html:." --add-data "style.css:." \
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--osx-bundle-identifier com.infinitode.scriptify --windowed main.py --version-file version_info.txt
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- name: Build for Linux
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if: matrix.os == 'ubuntu-latest'
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run: |
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pyinstaller --onefile --name Scriptify --icon web/favicon.ico --add-data "ffmpeg/ffmpeg_ubuntu.zip:ffmpeg" --add-data "whisper:whisper" \
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pyinstaller --onefile --name Scriptify --icon web/favicon.ico --add-data "ffmpeg/ffmpeg_ubuntu.zip:ffmpeg" --hidden-import="whisper" --add-data "whisper:whisper" --exclude-module tkinter --exclude-module PyQt5 \
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--add-data "web:web" --add-data "js:js" --add-data "index.html:." --add-data "launch.html:." --add-data "style.css:." \
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--windowed main.py --version-file version_info.txt
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@@ -46,7 +46,7 @@ jobs:
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- name: Build for Windows
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if: matrix.os == 'windows-latest'
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run: |
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pyinstaller --onefile --name Scriptify --icon web/favicon.ico --add-data "ffmpeg/ffmpeg_windows.zip:ffmpeg" --hidden-import="whisper" `
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pyinstaller --onefile --name Scriptify --icon web/favicon.ico --add-data "ffmpeg/ffmpeg_windows.zip:ffmpeg" --hidden-import="whisper" --add-data "whisper:whisper" `
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--add-data "web:web" --add-data "js:js" --add-data "index.html:." --add-data "launch.html:." --add-data "style.css:." `
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main.py --version-file version_info.txt
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‎launch.html‎

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@@ -154,7 +154,8 @@ <h1>Scriptify startup</h1>
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</div>
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<br>
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<p>*Larger models require more computational power to run. Once the model is downloaded,<br> we'll automatically
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set it up and use it for Speech to Text.<br>- You can use any model available through OpenAI's Whisper repository on GitHub.<br>- You can remove larger models to save storage space.</p>
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set it up and use it for Speech to Text.<br>- You can find the downloaded models inside the <span
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class="key">/models</span> folder.<br>- You can remove larger models to save storage space.</p>
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<br><br>
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<p class="subcol"><i>*You'll need <span id="vram">~0GB</span> of VRAM to run this model. This model is <span
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id="speed">~0X</span> the relative speed.</i></p>

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