kobim/whisper-local-transcribe
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minor corrections

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This commit is contained in:
Kristofer Söderström
2023-03-22 15:30:18 +01:00
parent a742cda781
commit 4a64dd7c05
2 changed files with 15 additions and 7 deletions
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18
example.ipynb
View File

@@ -48,7 +48,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": 4,
"id": "d66866af", "id": "d66866af",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@@ -65,7 +65,7 @@
"\n", "\n",
"\n", "\n",
"Loading model...\n", "Loading model...\n",
"Transcribing file number number 1: sample_audio\\Armstrong_Small_Step.ogg\n", "Transcribing file number number 1: Armstrong_Small_Step\n",
"Model and file loaded...\n", "Model and file loaded...\n",
"Starting transcription...\n", "Starting transcription...\n",
"\n", "\n",
@@ -77,7 +77,7 @@
"\n", "\n",
"\n", "\n",
"\n", "\n",
"Transcribing file number number 2: sample_audio\\Axel_Pettersson_röstinspelning.ogg\n", "Transcribing file number number 2: Axel_Pettersson_röstinspelning\n",
"Model and file loaded...\n", "Model and file loaded...\n",
"Starting transcription...\n", "Starting transcription...\n",
"\n", "\n",
@@ -94,10 +94,10 @@
{ {
"data": { "data": {
"text/plain": [ "text/plain": [
"'Finished transcription, files can be found in sample_audio/'" "'Finished transcription, files can be found in sample_audio/transcriptions'"
] ]
}, },
"execution_count": 5, "execution_count": 4,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@@ -105,6 +105,14 @@
"source": [ "source": [
"transcribe(path, file_type, model, language, verbose)" "transcribe(path, file_type, model, language, verbose)"
] ]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0bc67265",
"metadata": {},
"outputs": [],
"source": []
} }
], ],
"metadata": { "metadata": {

4
transcribe.py
View File

@@ -25,7 +25,7 @@ def transcribe(path, file_type, model=None, language=None, verbose=True):
for idx,file in enumerate(glob_file): for idx,file in enumerate(glob_file):
title = os.path.basename(file).split('.')[0] title = os.path.basename(file).split('.')[0]
print('Transcribing file number number {}: {}'.format(idx+1,file)) print('Transcribing file number number {}: {}'.format(idx+1,title))
print('Model and file loaded...\nStarting transcription...\n') print('Model and file loaded...\nStarting transcription...\n')
result = model.transcribe( result = model.transcribe(
file, file,
@@ -48,4 +48,4 @@ def transcribe(path, file_type, model=None, language=None, verbose=True):
print('\nFinished file number {}.\n\n\n'.format(idx+1)) print('\nFinished file number {}.\n\n\n'.format(idx+1))
return 'Finished transcription, files can be found in {}'.format(path) return 'Finished transcription, files can be found in {}transcriptions'.format(path)