diff --git a/README.md b/README.md index da6b3c2..0bd96ca 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ git clone https://github.com/soderstromkr/transcribe.git and use the example.ipynb template to use the script **OR (for beginners)** download the ```transcribe.py``` file into your work folder. Then you can either import it to another script or notebook for use. I recommend jupyter notebook for new users, see the example below. (Remember to have transcribe.py and example.ipynb in the same working folder). ### Example -See the [example](example.ipynb) implementation on jupyter notebook. +See [example](example.ipynb) for an implementation on jupyter notebook, also added an example for a simple [workaround](example_no_internet.ipynb) to transcribe while offline. [^1]: Advanced users can use ```pip install ffmpeg-python``` but be ready to deal with some [PATH issues](https://stackoverflow.com/questions/65836756/python-ffmpeg-wont-accept-path-why), which I encountered in Windows 11. diff --git a/example.ipynb b/example.ipynb index 92b7162..fe69770 100644 --- a/example.ipynb +++ b/example.ipynb @@ -40,7 +40,7 @@ "outputs": [], "source": [ "path='sample_audio/'#folder path\n", - "file_type='ogg' #check your file for file type, will only transcribe files with the file type, 'ogg', 'WAV'\n", + "file_type='ogg' #check your file for file type, will only transcribe those files\n", "model='medium' #'small', 'medium', 'large' (tradeoff between speed and accuracy)\n", "language= None #tries to auto-detect, other options include 'English', 'Spanish', etc...\n", "verbose = True # prints output while transcribing, False to deactivate" diff --git a/example_no_internet.ipynb b/example_no_internet.ipynb index b85ed60..14510b3 100644 --- a/example_no_internet.ipynb +++ b/example_no_internet.ipynb @@ -132,7 +132,7 @@ "outputs": [], "source": [ "path='sample_audio/'#folder path\n", - "file_type='ogg' #check your file for file type, will only transcribe files with the file type, 'ogg', 'WAV'\n", + "file_type='ogg' #check your file for file type, will only transcribe those files\n", "model='medium' #'small', 'medium', 'large' (tradeoff between speed and accuracy)\n", "language= None #tries to auto-detect, other options include 'English', 'Spanish', etc...\n", "verbose = True # prints output while transcribing, False to deactivate"