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Running
matdmiller
commited on
Commit
·
17d79ff
1
Parent(s):
be71186
fix audio file safari
Browse files
app.ipynb
CHANGED
@@ -193,40 +193,40 @@
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"source": [
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"#| export\n",
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"def concatenate_mp3(mp3_files):\n",
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" if len(mp3_files) == 1:\n",
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@@ -488,7 +488,7 @@
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"cell_type": "code",
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"execution_count":
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"id": "0420310d-930b-4904-8bd4-3458ad8bdbd3",
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"metadata": {},
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"outputs": [],
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"source": [
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"#| export\n",
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"def concatenate_mp3(mp3_files):\n",
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" # if len(mp3_files) == 1:\n",
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" # return mp3_files[0]\n",
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" # else:\n",
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" # Initialize an empty AudioSegment object for concatenation\n",
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" combined = AudioSegment.empty()\n",
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" \n",
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" # Write out audio file responses as individual files for debugging\n",
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" # for idx, mp3_data in enumerate(mp3_files):\n",
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" # with open(f'./{idx}.mp3', 'wb') as f:\n",
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" # f.write(mp3_data)\n",
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" # Loop through the list of mp3 binary data\n",
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" for mp3_data in mp3_files:\n",
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" # Convert binary data to an audio segment\n",
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" audio_segment = AudioSegment.from_file(io.BytesIO(mp3_data), format=\"mp3\")\n",
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" # Concatenate this segment to the combined segment\n",
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" combined += audio_segment\n",
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"\n",
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" #### Return Bytes Method\n",
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" # # Export the combined segment to a new mp3 file\n",
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" # # Use a BytesIO object to handle this in memory\n",
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" # combined_mp3 = io.BytesIO()\n",
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" # combined.export(combined_mp3, format=\"mp3\")\n",
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"\n",
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" # # Seek to the start so it's ready for reading\n",
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" # combined_mp3.seek(0)\n",
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" # return combined_mp3.getvalue()\n",
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"\n",
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" #### Return Filepath Method\n",
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" filepath = TEMP_DIR/(str(uuid.uuid4())+'.mp3')\n",
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" combined.export(filepath, format=\"mp3\")\n",
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" print('Saving mp3 file to temp directory: ', filepath)\n",
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" return str(filepath)"
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]
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},
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"cell_type": "code",
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"execution_count": 58,
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"id": "0420310d-930b-4904-8bd4-3458ad8bdbd3",
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"metadata": {},
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"outputs": [],
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app.py
CHANGED
@@ -104,40 +104,40 @@ def split_text(input_text, max_length=4000, lookback=1000):
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# %% app.ipynb 10
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def concatenate_mp3(mp3_files):
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if len(mp3_files) == 1:
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# %% app.ipynb 11
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def create_speech_openai(chunk_idx, input, model='tts-1', voice='alloy', speed=1.0, **kwargs):
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# %% app.ipynb 10
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def concatenate_mp3(mp3_files):
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# if len(mp3_files) == 1:
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# return mp3_files[0]
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# else:
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# Initialize an empty AudioSegment object for concatenation
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combined = AudioSegment.empty()
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# Write out audio file responses as individual files for debugging
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# for idx, mp3_data in enumerate(mp3_files):
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# with open(f'./{idx}.mp3', 'wb') as f:
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# f.write(mp3_data)
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# Loop through the list of mp3 binary data
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for mp3_data in mp3_files:
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# Convert binary data to an audio segment
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audio_segment = AudioSegment.from_file(io.BytesIO(mp3_data), format="mp3")
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# Concatenate this segment to the combined segment
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combined += audio_segment
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#### Return Bytes Method
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# # Export the combined segment to a new mp3 file
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# # Use a BytesIO object to handle this in memory
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# combined_mp3 = io.BytesIO()
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# combined.export(combined_mp3, format="mp3")
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# # Seek to the start so it's ready for reading
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# combined_mp3.seek(0)
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# return combined_mp3.getvalue()
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#### Return Filepath Method
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filepath = TEMP_DIR/(str(uuid.uuid4())+'.mp3')
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combined.export(filepath, format="mp3")
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print('Saving mp3 file to temp directory: ', filepath)
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return str(filepath)
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# %% app.ipynb 11
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def create_speech_openai(chunk_idx, input, model='tts-1', voice='alloy', speed=1.0, **kwargs):
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