Sometimes working implementation
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.gitignore
vendored
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.gitignore
vendored
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__pycache__/
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.vscode/
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7
README.md
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README.md
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# Rominian
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Converts speech to text and inserts text at cursor. Uses a button combination to trigger.
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## Setup
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`sudo apt-get install python3-pyaudio ffmpeg python3-tk python3-dev`
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4
requirements.txt
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requirements.txt
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openai-whisper
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SpeechRecognition
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soundfile
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keyboard
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43
src/main.py
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src/main.py
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from typer import insert_text_at_cursor, callback_for_keycombination, wait_for_callbacks
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from speech import AudioProcessor
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import logging
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LISTENING_KEYCOMBINATION: str = "ctrl"
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RELEASE_BTN: str = "ctrl"
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logging.getLogger().setLevel(logging.DEBUG)
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def phrase_callback(phrase: str) -> None:
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if audio_processor.is_listening:
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return
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insert_text_at_cursor(phrase)
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def start_listening():
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if audio_processor.is_listening:
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return
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logging.info(f'Listening... press [{RELEASE_BTN}] to stop.')
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audio_processor.start_recording()
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def stop_listening():
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if not audio_processor.is_listening:
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return
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logging.info("Stopped listening.")
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audio_processor.stop_recording()
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insert_text_at_cursor(audio_processor.get_last_text())
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audio_processor: AudioProcessor = AudioProcessor(model="medium", phrase_callback=phrase_callback)
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callback_for_keycombination(LISTENING_KEYCOMBINATION, start_listening, on_release=False)
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callback_for_keycombination(RELEASE_BTN, stop_listening, on_release=True)
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logging.info(f'Ready, wait for [{LISTENING_KEYCOMBINATION.upper()}]')
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wait_for_callbacks()
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57
src/speech.py
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src/speech.py
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import speech_recognition as sr
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import logging
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class AudioProcessor:
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def __init__(self, *, language: str = "german", model: str = "base", phrase_callback: callable = None) -> None:
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self.language: str = language
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self.model: str = model
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self.last_text: str = None
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self.phrase_callback: callable = phrase_callback
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self.is_listening: bool = False
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self.stop_listening_caller = None
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logging.debug("Found the following microphones:")
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for index, name in sr.Microphone.list_working_microphones().items():
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logging.debug(f"Microphone with index {index} and name `{name}` found")
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self.recognizer: sr.Recognizer = sr.Recognizer()
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self.listener: sr.Microphone = sr.Microphone()
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with self.listener as source:
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self.recognizer.adjust_for_ambient_noise(source) # we only need to calibrate once, before we start listening
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def get_last_text(self) -> str:
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return self.last_text
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def is_listening(self) -> bool:
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return self.is_listening
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def start_recording(self) -> None:
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if self.is_listening:
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logging.warning("Listener is already open")
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return
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self.last_text = ""
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self.is_listening = True
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self.stop_listening_caller = self.recognizer.listen_in_background(self.listener, self.listening_callback)
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def listening_callback(self, recognizer, audio):
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new_text = self.recognizer.recognize_whisper(
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audio, language=self.language, model=self.model
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)
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if self.last_text is not None and self.last_text != "":
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self.last_text += " "
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self.last_text += new_text
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if self.phrase_callback:
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self.phrase_callback(new_text)
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def stop_recording(self) -> None:
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if not self.is_listening:
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logging.warning("Listener is already closed")
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return
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self.stop_listening_caller(wait_for_stop=False)
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self.is_listening = False
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13
src/typer.py
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src/typer.py
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import keyboard
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def insert_text_at_cursor(text: str):
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if text is None or text == "":
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return
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keyboard.write(text)
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def callback_for_keycombination(keycombination: str, callback: callable, *, on_release: bool = False):
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keyboard.add_hotkey(keycombination, callback, trigger_on_release=on_release)
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def wait_for_callbacks():
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keyboard.wait()
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