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Merge pull request #47 from Dadangdut33/dev
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| @@ -0,0 +1,2 @@ | ||
| indent_style=space | ||
| indent_size=4 |
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| @@ -1,3 +1,27 @@ | ||
| { | ||
| "python.analysis.typeCheckingMode": "basic" | ||
| } | ||
| "python.languageServer": "Pylance", | ||
| "python.analysis.typeCheckingMode": "basic", | ||
| "[python]": { | ||
| "editor.defaultFormatter": "eeyore.yapf", | ||
| "editor.formatOnSave": true, | ||
| "editor.formatOnPaste": true, | ||
| "editor.formatOnType": false, | ||
| "editor.codeActionsOnSave": { | ||
| "source.fixAll": false, | ||
| "source.organizeImports": false, | ||
| "source.organizeImports.ruff": false, | ||
| "source.organizeImports.python": false, | ||
| } | ||
| }, | ||
| "yapf.args": ["--style", "{based_on_style: pep8, indent_width: 4, column_limit: 125, BLANK_LINE_BEFORE_NESTED_CLASS_OR_DEF: false, DEDENT_CLOSING_BRACKETS: true}"], | ||
| "ruff.enable": true, | ||
| "ruff.lint.args": [ | ||
| "--line-length", | ||
| "125" | ||
| ], | ||
| "ruff.format.args": [ | ||
| "--line-length", | ||
| "125" | ||
| ], | ||
| "python.analysis.autoImportCompletions": false, | ||
| } |
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|---|---|---|
| @@ -0,0 +1,122 @@ | ||
| import sys | ||
| import os | ||
| import shutil | ||
| from cx_Freeze import setup, Executable | ||
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| sys.setrecursionlimit(5000) | ||
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| def get_env_name(): | ||
| return os.path.basename(sys.prefix) | ||
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| def version(): | ||
| with open(os.path.join(os.path.dirname(__file__), "speech_translate/_version.py")) as f: | ||
| return f.readline().split("=")[1].strip().strip('"').strip("'") | ||
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| # If you get cuda error try to remove your cuda from your system path because cx_freeze will try to include it from there | ||
| # instead of the one in the python folder | ||
| print(">> Building SpeechTranslate version", version()) | ||
| print(">> Environment:", get_env_name()) | ||
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| def clear_dir(dir): | ||
| print(">> Clearing", dir) | ||
| try: | ||
| if not os.path.exists(dir): | ||
| return | ||
| if os.path.isdir(dir): | ||
| for f in os.listdir(dir): | ||
| os.remove(os.path.join(dir, f)) | ||
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| # remove the folder | ||
| os.rmdir(dir) | ||
| else: | ||
| os.remove(dir) | ||
| except Exception as e: | ||
| print(f">> Failed to clear {dir} reason: {e}") | ||
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| print(">> Clearing code folder") | ||
| clear_dir("./speech_translate/export") | ||
| clear_dir("./speech_translate/debug") | ||
| clear_dir("./speech_translate/log") | ||
| clear_dir("./speech_translate/temp") | ||
| print(">> Done") | ||
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| folder_name = f"build/SpeechTranslate {version()}" | ||
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| build_exe_options = { | ||
| "excludes": ["yapf", "ruff"], | ||
| "packages": ["torch", "soundfile", "sounddevice", "av"], | ||
| "build_exe": folder_name | ||
| } | ||
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| base = "Win32GUI" if sys.platform == "win32" else None | ||
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| setup( | ||
| name="SpeechTranslate", | ||
| version=version(), | ||
| description="Speech Translate", | ||
| options={ | ||
| "build_exe": build_exe_options, | ||
| }, | ||
| executables=[ | ||
| Executable( | ||
| "Run.py", | ||
| base=base, | ||
| icon="speech_translate/assets/icon.ico", | ||
| target_name="SpeechTranslate.exe", | ||
| ) | ||
| ], | ||
| ) | ||
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| # check if arg is build_exe | ||
| if len(sys.argv) < 2 or sys.argv[1] != "build_exe": | ||
| sys.exit(0) | ||
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| print(">> Copying some more files...") | ||
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| # we need to copy av.libs to foldername/lib because cx_freeze doesn't copy it for some reason | ||
| print(">> Copying av.libs to lib folder") | ||
| shutil.copytree(f"{get_env_name()}/Lib/site-packages/av.libs", f"{folder_name}/lib/av.libs") | ||
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| # copy Lincese as license.txt to build folder | ||
| print(">> Creating license.txt to build folder") | ||
| with open("LICENSE", "r", encoding="utf-8") as f: | ||
| with open(f"{folder_name}/license.txt", "w", encoding="utf-8") as f2: | ||
| f2.write(f.read()) | ||
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| # copy README.md as README.txt to build folder | ||
| print(">> Creating README.txt to build folder") | ||
| with open("build/pre_install_note.txt", "r", encoding="utf-8") as f: | ||
| with open(f"{folder_name}/README.txt", "w", encoding="utf-8") as f2: | ||
| f2.write(f.read()) | ||
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| # create version.txt | ||
| print(">> Creating version.txt") | ||
| with open(f"{folder_name}/version.txt", "w", encoding="utf-8") as f: | ||
| f.write(version()) | ||
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| # copy install_ffmpeg.ps1 to build folder | ||
| print(">> Copying install_ffmpeg.ps1 to build folder") | ||
| with open("install_ffmpeg.ps1", "r", encoding="utf-8") as f: | ||
| with open(f"{folder_name}/install_ffmpeg.ps1", "w", encoding="utf-8") as f2: | ||
| f2.write(f.read()) | ||
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| # create link to repo | ||
| print(">> Creating link to repo") | ||
| with open(f"{folder_name}/homepage.url", "w", encoding="utf-8") as f: | ||
| f.write("[InternetShortcut]\n") | ||
| f.write("URL=https://github.com/Dadangdut33/Speech-Translate") | ||
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| print(">> Opening output folder") | ||
| output_folder = os.path.abspath(folder_name) | ||
| try: | ||
| os.startfile(output_folder) | ||
| except Exception: | ||
| # linux | ||
| import subprocess | ||
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| subprocess.call(["xdg-open", output_folder]) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,3 @@ | ||
| The app has been successfully installed, for more information about its usage please visit the wiki at https://github.com/Dadangdut33/Speech-Translate/wiki. | ||
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| For any questions or suggestions, feel free to add any issues or open a discussion on the repository. |
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| Thanks for downloading Speech Translate. | ||
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| Speech Translate is a practical application that combines OpenAI's Whisper ASR model with free translation APIs. It serves as a versatile tool for both real-time / live speech-to-text and speech translation, allowing the user to seamlessly convert spoken language into written text. Additionally, it has the option to import and transcribe audio / video files effortlessly. | ||
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| Requirements: | ||
| - Windows 8.1 or higher for speaker input | ||
| - FFmpeg installed in your system (the app will prompt you to install it if you don't have it) | ||
| - Internet connection (for translation with API) | ||
| - Each whisper model requires the following VRAM: | ||
| * tiny (~1 GB) | ||
| * base (~1 GB) | ||
| * small (~2 GB) | ||
| * medium (~5 GB) | ||
| * large (~10 GB) | ||
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| Whisper can be used with CPU but will be very limited when doing so. It is recommended to use a cuda compatible GPU for better performance. | ||
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| Please also note that when using faster-whisper, the speed will be significantly faster and the model size will be reduced depending on the usage. For more information about this please visit https://github.com/guillaumekln/faster-whisper | ||
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| For more information about the app, user settings, how to use it, and more please visit the wiki at https://github.com/Dadangdut33/Speech-Translate/wiki |
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