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lint
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parent
ec91eb670e
commit
fed24aa444
3 changed files with 16 additions and 22 deletions
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@ -232,7 +232,6 @@ class InputOutput:
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return inp
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return inp
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def user_input(self, inp, log_only=True):
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def user_input(self, inp, log_only=True):
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if not log_only:
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if not log_only:
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style = dict(style=self.user_input_color) if self.user_input_color else dict()
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style = dict(style=self.user_input_color) if self.user_input_color else dict()
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self.console.print(inp, **style)
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self.console.print(inp, **style)
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@ -1,45 +1,41 @@
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import sounddevice as sd
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import numpy as np
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import keyboard
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import openai
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import io
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import tempfile
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import queue
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import soundfile as sf
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import os
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import os
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import queue
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import tempfile
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import openai
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import sounddevice as sd
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import soundfile as sf
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from .dump import dump # noqa: F401
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from .dump import dump
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def record_and_transcribe():
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def record_and_transcribe():
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q = queue.Queue()
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q = queue.Queue()
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def callback(indata, frames, time, status):
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def callback(indata, frames, time, status):
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"""This is called (from a separate thread) for each audio block."""
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"""This is called (from a separate thread) for each audio block."""
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if status:
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print(status, file=sys.stderr)
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q.put(indata.copy())
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q.put(indata.copy())
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filename = tempfile.mktemp(prefix="delme_rec_unlimited_", suffix=".wav", dir="")
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filename = tempfile.mktemp(prefix='delme_rec_unlimited_', suffix='.wav', dir='')
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sample_rate = 16000 # 16kHz
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sample_rate = 16000 # 16kHz
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with sf.SoundFile(filename, mode='x', samplerate=sample_rate, channels=1) as file:
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with sf.SoundFile(filename, mode="x", samplerate=sample_rate, channels=1) as file:
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with sd.InputStream(samplerate=sample_rate, channels=1, callback=callback):
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with sd.InputStream(samplerate=sample_rate, channels=1, callback=callback):
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input('Press ENTER when done speaking...')
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input("Press ENTER when done speaking...")
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while not q.empty():
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while not q.empty():
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file.write(q.get())
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file.write(q.get())
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with open(filename, 'rb') as fh:
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with open(filename, "rb") as fh:
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transcript = openai.Audio.transcribe("whisper-1", fh)
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transcript = openai.Audio.transcribe("whisper-1", fh)
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text = transcript['text']
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text = transcript["text"]
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return text
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return text
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if __name__ == "__main__":
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if __name__ == "__main__":
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api_key = os.getenv('OPENAI_API_KEY')
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api_key = os.getenv("OPENAI_API_KEY")
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if not api_key:
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if not api_key:
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raise ValueError("Please set the OPENAI_API_KEY environment variable.")
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raise ValueError("Please set the OPENAI_API_KEY environment variable.")
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print(record_and_transcribe())
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print(record_and_transcribe())
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@ -29,7 +29,7 @@ class TestCoder(unittest.TestCase):
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io = InputOutput(yes=True)
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io = InputOutput(yes=True)
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# Initialize the Coder object with the mocked IO and mocked repo
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# Initialize the Coder object with the mocked IO and mocked repo
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coder = Coder.create(models.GPT4, None, io, fnames=[str(fname)])
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Coder.create(models.GPT4, None, io, fnames=[str(fname)])
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self.assertTrue(fname.exists())
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self.assertTrue(fname.exists())
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@ -40,7 +40,6 @@ class TestCoder(unittest.TestCase):
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# Check that the latest commit message is "I added str(fname)"
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# Check that the latest commit message is "I added str(fname)"
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self.assertEqual(commit_message, f"I added {str(fname)}")
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self.assertEqual(commit_message, f"I added {str(fname)}")
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def test_allowed_to_edit(self):
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def test_allowed_to_edit(self):
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with GitTemporaryDirectory():
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with GitTemporaryDirectory():
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repo = git.Repo(Path.cwd())
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repo = git.Repo(Path.cwd())
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