From a5693490dfcccef75803f7b1e90beb8b97f27ff8 Mon Sep 17 00:00:00 2001
From: Jaikinator <schmieder.jacob@web.de>
Date: Tue, 13 Jun 2023 07:05:57 +0200
Subject: [PATCH] removed renamed file

---
 autotranscript/transcriptor.py | 112 ---------------------------------
 1 file changed, 112 deletions(-)
 delete mode 100644 autotranscript/transcriptor.py

diff --git a/autotranscript/transcriptor.py b/autotranscript/transcriptor.py
deleted file mode 100644
index a3927f1..0000000
--- a/autotranscript/transcriptor.py
+++ /dev/null
@@ -1,112 +0,0 @@
-
-import os
-from typing import TypeVar
-from whisper import load_model
-from glob import glob
-
-whisper = TypeVar('whisper') 
-Transcriber = TypeVar('Transcriber')
-
-def get_whisper_default_path() -> str:
-    """
-    Get default path for whisper models
-
-    Returns
-    -------
-    str
-        path
-    """
-    _path = os.path.dirname(os.path.dirname(__file__))
-    return os.path.join(_path, "models", "whisper")
-
-WHISPER_DEFAULT_PATH = get_whisper_default_path()
-
-class Transcriber:
-    def __init__(self, model: whisper ) -> None:
-        """
-        Initialize Transcriber class with a whisper model
-        :param model: whisper model
-        """
-        self.model = model
-
-
-    def transcribe(self, file : str, language:str = "German"):
-        """
-        transcribe audio file
-        :param file: audio file to transcribe
-        :param language: language of the audio file
-        :return: transcript as string
-        """
-        result = self.model.transcribe(file, language = language)
-
-        return result["text"]
-    
-    @staticmethod
-    def save_transcript(transcript:str , save_path : str) -> None:
-        """
-        Save transcript to file
-        :param transcript: transcript as string
-        :param savepath: path to save the transcript
-        :return: None
-        """
-
-        with open(save_path, 'w') as f:
-            f.write(transcript)
-            f.close()
-            
-        print(f'Transcript saved to {save_path}')
-
-    @classmethod
-    def load_whisper_model(cls,
-                            model: str = "medium", 
-                            local : bool = True,
-                            download_root: str = WHISPER_DEFAULT_PATH) -> Transcriber:
-        """
-        Load whisper module
-
-        Parameters
-        ----------
-        whisper : str
-            whisper model
-            available models:
-
-                - 'tiny.en'
-                - 'tiny'
-                - 'base.en'
-                - 'base'
-                - 'small.en'
-                - 'small'
-                - 'medium.en'
-                - 'medium'
-                - 'large-v1'
-                - 'large-v2'
-                - 'large' 
-
-        local : bool
-            If true, load from local cache
-
-        download_root : str
-            Path to download the model
-
-            default: /models/whisper
-        
-        Returns
-        -------
-        Whisper Object
-        """
-
-        if local:
-            
-            available_models = [os.path.basename(x) for x in glob(os.path.join(download_root, "*"))]
-            
-            for i, module in enumerate(available_models):
-                available_models[i] = module.split(".")[0]
-            
-            if model not in available_models:
-                raise RuntimeError("Model not found. Consider downloading the "/
-                                   "model first. By deactivating the local flag, " /
-                                    "the model will be downloaded automatically.")
-
-        _model = load_model(model, download_root=download_root)
-
-        return cls(_model)