forked from camenduru/ai-voice-cloning
debugging in colab is pure cock and ball torture because sometimes the files don't actually update when edited, and sometimes they update after I restart the runtime, notebook can't use venv because I can't source it in a subprocess shell call
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@ -37,9 +37,9 @@
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"source":[
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"source":[
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"!git clone https://git.ecker.tech/mrq/ai-voice-cloning/\n",
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"!git clone https://git.ecker.tech/mrq/ai-voice-cloning/\n",
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"%cd ai-voice-cloning\n",
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"%cd ai-voice-cloning\n",
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"!apt install python3.8-venv\n",
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"#!apt install python3.8-venv\n",
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"!python -m venv venv\n",
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"#!python -m venv venv\n",
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"!source ./venv/bin/activate\n",
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"#!source ./venv/bin/activate\n",
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"!git clone https://git.ecker.tech/mrq/DL-Art-School dlas\n",
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"!git clone https://git.ecker.tech/mrq/DL-Art-School dlas\n",
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"!python -m pip install --upgrade pip\n",
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"!python -m pip install --upgrade pip\n",
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"!pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116\n",
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"!pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116\n",
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@ -114,7 +114,7 @@
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"cell_type":"code",
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"cell_type":"code",
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"source":[
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"source":[
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"%cd /content/ai-voice-cloning\n",
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"%cd /content/ai-voice-cloning\n",
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"!source ./venv/bin/activate\n",
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"#!source ./venv/bin/activate\n",
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"\n",
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"\n",
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"import os\n",
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"import os\n",
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"import sys\n",
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"import sys\n",
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@ -450,14 +450,14 @@ def run_training(config_path):
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buffer=[]
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buffer=[]
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for line in iter(training_process.stdout.readline, ""):
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for line in iter(training_process.stdout.readline, ""):
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buffer.append(line)
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buffer.append(line)
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print(line)
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print(line[:-1])
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yield "".join(buffer)
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yield "".join(buffer)
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training_process.stdout.close()
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training_process.stdout.close()
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return_code = training_process.wait()
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return_code = training_process.wait()
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training_process = None
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training_process = None
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if return_code:
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#if return_code:
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raise subprocess.CalledProcessError(return_code, cmd)
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# raise subprocess.CalledProcessError(return_code, cmd)
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def stop_training():
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def stop_training():
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