From 2cdebb033fed64ba5a8297104b16a2cb5a986e80 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Anton=20Solbj=C3=B8rg?= <4324290+Notnaton@users.noreply.github.com> Date: Tue, 11 Jun 2024 22:19:58 +0200 Subject: [PATCH 1/6] initial working prototype --- .../profiles/defaults/codestral_voice.py | 92 +++++++++++++++++++ pyproject.toml | 1 + 2 files changed, 93 insertions(+) create mode 100644 interpreter/terminal_interface/profiles/defaults/codestral_voice.py diff --git a/interpreter/terminal_interface/profiles/defaults/codestral_voice.py b/interpreter/terminal_interface/profiles/defaults/codestral_voice.py new file mode 100644 index 0000000000..94f3c5eeef --- /dev/null +++ b/interpreter/terminal_interface/profiles/defaults/codestral_voice.py @@ -0,0 +1,92 @@ +""" +This is an Open Interpreter profile. It configures Open Interpreter to run `codestral` using Ollama. + +Images sent to the model will be described with `moondream`. +""" + +from dimits import Dimits + +from interpreter import interpreter + +interpreter.system_message = """You are an AI assistant that writes markdown code snippets to answer the user's request. You speak very concisely and quickly, you say nothing irrelevant to the user's request. For example: + +User: Open the chrome app. +Assistant: On it. +```python +import webbrowser +webbrowser.open('https://chrome.google.com') +``` +User: The code you ran produced no output. Was this expected, or are we finished? +Assistant: No further action is required; the provided snippet opens Chrome. +User: How large are all the files on my desktop combined? +Assistant: I will sum up the file sizes of every file on your desktop. +```python +import os +import string +from pathlib import Path + +# Get the user's home directory in a cross-platform way +home_dir = Path.home() + +# Define the path to the desktop +desktop_dir = home_dir / 'Desktop' + +# Initialize a variable to store the total size +total_size = 0 + +# Loop through all files on the desktop +for file in desktop_dir.iterdir(): + # Add the file size to the total + total_size += file.stat().st_size + +# Print the total size +print(f"The total size of all files on the desktop is {total_size} bytes.") +``` +User: I executed that code. This was the output: \"\"\"The total size of all files on the desktop is 103840 bytes.\"\"\"\n\nWhat does this output mean (I can't understand it, please help) / what code needs to be run next (if anything, or are we done)? I can't replace any placeholders. +Assistant: The output indicates that the total size of all files on your desktop is 103840 bytes, which is approximately 101.4 KB or 0.1 MB. We are finished. + +NEVER use placeholders. Always specify exact paths, and use cross-platform ways of determining the desktop, documents, cwd, etc. folders. + +Now, your turn:""" + +# Message templates +interpreter.code_output_template = '''I executed that code. This was the output: """{content}"""\n\nWhat does this output mean (I can't understand it, please help) / what code needs to be run next (if anything, or are we done)? I can't replace any placeholders.''' +interpreter.empty_code_output_template = "The code above was executed on my machine. It produced no text output. What's next (if anything, or are we done?)" +interpreter.code_output_sender = "user" + +# LLM settings +interpreter.llm.model = "openai/codestral" +interpreter.llm.supports_functions = False +interpreter.llm.api_base = "http://localhost:1234/v1" +interpreter.llm.api_key = "x" +interpreter.llm.supports_functions = False +interpreter.llm.execution_instructions = False +interpreter.llm.max_tokens = 1000 +interpreter.llm.context_window = 7000 + +# Computer settings +interpreter.computer.import_computer_api = False + +# Misc settings +interpreter.auto_run = False +interpreter.offline = True + +# Final message +interpreter.display_message( + "> Model set to `codestral`\n\n**Open Interpreter** will require approval before running code.\n\nUse `interpreter -y` to bypass this.\n\nPress `CTRL-C` to exit.\n" +) + +# Initialize Dimits with the desired voice model +dt = Dimits('en_US-amy-medium', verbose=False) + +# Run the interpreter +for chunk in interpreter.chat(display=True, stream=True): + if chunk["type"] == "message": + if "end" in chunk: + text = interpreter.messages[-1]["content"].strip() + + # Convert text to audio and play it using the aplay engine + dt.text_2_speech(text, engine="aplay") + + + diff --git a/pyproject.toml b/pyproject.toml index 020621e4d1..d3904d6d7c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -58,6 +58,7 @@ torchvision = { version = "^0.18.0", optional = true } fastapi = { version = "^0.111.0", optional = true } pynput = { version = "^1.7.7", optional = true } uvicorn = { version = "^0.30.1", optional = true } +dimits = "^0.0.30a0" [tool.poetry.extras] os = ["opencv-python", "pyautogui", "plyer", "pywinctl", "pytesseract", "sentence-transformers", "ipywidgets", "torch", "timm", "screeninfo"] From 4fc7bb5ccc20de79cc0f298c6c7113c4c7f3f572 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Anton=20Solbj=C3=B8rg?= <4324290+Notnaton@users.noreply.github.com> Date: Tue, 11 Jun 2024 22:34:24 +0200 Subject: [PATCH 2/6] formatting --- .../profiles/defaults/codestral_voice.py | 3 - poetry.lock | 3205 +++++++++-------- 2 files changed, 1723 insertions(+), 1485 deletions(-) diff --git a/interpreter/terminal_interface/profiles/defaults/codestral_voice.py b/interpreter/terminal_interface/profiles/defaults/codestral_voice.py index 94f3c5eeef..c9fd5c1964 100644 --- a/interpreter/terminal_interface/profiles/defaults/codestral_voice.py +++ b/interpreter/terminal_interface/profiles/defaults/codestral_voice.py @@ -87,6 +87,3 @@ # Convert text to audio and play it using the aplay engine dt.text_2_speech(text, engine="aplay") - - - diff --git a/poetry.lock b/poetry.lock index 0ccf5c5efe..776fb29116 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. [[package]] name = "aiohttp" @@ -310,13 +310,13 @@ files = [ [[package]] name = "certifi" -version = "2024.2.2" +version = "2024.6.2" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.6" files = [ - {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"}, - {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"}, + {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"}, + {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"}, ] [[package]] @@ -537,6 +537,23 @@ files = [ {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] +[[package]] +name = "coloredlogs" +version = "15.0.1" +description = "Colored terminal output for Python's logging module" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"}, + {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"}, +] + +[package.dependencies] +humanfriendly = ">=9.1" + +[package.extras] +cron = ["capturer (>=2.4)"] + [[package]] name = "comm" version = "0.2.2" @@ -752,6 +769,26 @@ files = [ {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, ] +[[package]] +name = "dimits" +version = "0.0.30a0" +description = "Dimits is a Python library that provides an easy-to-use interface to the Piper text-to-speech (TTS) system. It utilizes the powerful Piper TTS engine, which is optimized for Raspberry Pi 4, to generate high-quality synthesized speech." +optional = false +python-versions = "<4.0,>=3.9" +files = [ + {file = "dimits-0.0.30a0-py3-none-any.whl", hash = "sha256:cc0a391cf98115954e4e0d409d6d7e72a030eca55985cc5a26fc0e8735b6086a"}, + {file = "dimits-0.0.30a0.tar.gz", hash = "sha256:f1d2d3b8c8e73d2cb55c0f385aa0099a3181ed91cf1a046619ba4cbea5c18511"}, +] + +[package.dependencies] +espeak-phonemizer = "*" +espeak-phonemizer-windows = {version = "*", markers = "sys_platform == \"win32\""} +huggingface-hub = "0.23.0" +onnxruntime = "*" +requests = ">=2.13.0,<3.0.0" +soundfile = "*" +tqdm = "4.64.0" + [[package]] name = "distlib" version = "0.3.8" @@ -835,6 +872,26 @@ files = [ dnspython = ">=2.0.0" idna = ">=2.0.0" +[[package]] +name = "espeak-phonemizer" +version = "1.3.1" +description = "Lightweight International Phonetic Alphabet (IPA) phonemizer that uses libespeak-ng" +optional = false +python-versions = "*" +files = [ + {file = "espeak_phonemizer-1.3.1.tar.gz", hash = "sha256:a591335318e253fc01599370cebc63bcc7f46155a7a7af4496fbf6ca749d0ec9"}, +] + +[[package]] +name = "espeak-phonemizer-windows" +version = "1.0.4" +description = "Uses espeak-ng to transform text into IPA phonemes." +optional = false +python-versions = ">=3.8,<4.0" +files = [ + {file = "espeak_phonemizer_windows-1.0.4-py3-none-any.whl", hash = "sha256:495a8cfc5c882ecefcf0e103bab64509f9e326017c070c1aa832bccc9ff9ebc3"}, +] + [[package]] name = "evdev" version = "1.7.1" @@ -964,6 +1021,17 @@ docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1 testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"] typing = ["typing-extensions (>=4.8)"] +[[package]] +name = "flatbuffers" +version = "24.3.25" +description = "The FlatBuffers serialization format for Python" +optional = false 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<4324290+Notnaton@users.noreply.github.com> Date: Tue, 11 Jun 2024 23:02:32 +0200 Subject: [PATCH 3/6] Non blocking tts --- .../profiles/defaults/codestral_voice.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/interpreter/terminal_interface/profiles/defaults/codestral_voice.py b/interpreter/terminal_interface/profiles/defaults/codestral_voice.py index c9fd5c1964..bc5fcd0e0f 100644 --- a/interpreter/terminal_interface/profiles/defaults/codestral_voice.py +++ b/interpreter/terminal_interface/profiles/defaults/codestral_voice.py @@ -5,6 +5,7 @@ """ from dimits import Dimits +import threading from interpreter import interpreter @@ -79,11 +80,18 @@ # Initialize Dimits with the desired voice model dt = Dimits('en_US-amy-medium', verbose=False) +# Function to handle text-to-speech in a separate thread +def text_to_speech_non_blocking(text): + dt.text_2_speech(text, engine="aplay") + # Run the interpreter for chunk in interpreter.chat(display=True, stream=True): if chunk["type"] == "message": if "end" in chunk: text = interpreter.messages[-1]["content"].strip() + # Convert text to audio in a non-blocking way + tts_thread = threading.Thread(target=text_to_speech_non_blocking, args=(text,)) + tts_thread.start() # Convert text to audio and play it using the aplay engine - dt.text_2_speech(text, engine="aplay") + #dt.text_2_speech(text, engine="aplay") From 34d19a5b993f6d4c1e7ffb93161de355e41b38a8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Anton=20Solbj=C3=B8rg?= <4324290+Notnaton@users.noreply.github.com> Date: Thu, 13 Jun 2024 20:52:38 +0200 Subject: [PATCH 4/6] Basic stt --- .../profiles/defaults/codestral_voice.py | 3 + .../profiles/defaults/stream.py | 126 ++++++++++ poetry.lock | 219 ++++++++++++++---- pyproject.toml | 2 + 4 files changed, 300 insertions(+), 50 deletions(-) create mode 100644 interpreter/terminal_interface/profiles/defaults/stream.py diff --git a/interpreter/terminal_interface/profiles/defaults/codestral_voice.py b/interpreter/terminal_interface/profiles/defaults/codestral_voice.py index bc5fcd0e0f..9487c1d87b 100644 --- a/interpreter/terminal_interface/profiles/defaults/codestral_voice.py +++ b/interpreter/terminal_interface/profiles/defaults/codestral_voice.py @@ -95,3 +95,6 @@ def text_to_speech_non_blocking(text): tts_thread.start() # Convert text to audio and play it using the aplay engine #dt.text_2_speech(text, engine="aplay") + if chunk["type"] == "confirmation": + print(chunk) + diff --git a/interpreter/terminal_interface/profiles/defaults/stream.py b/interpreter/terminal_interface/profiles/defaults/stream.py new file mode 100644 index 0000000000..616d8df765 --- /dev/null +++ b/interpreter/terminal_interface/profiles/defaults/stream.py @@ -0,0 +1,126 @@ +import pyaudio +import numpy as np +import whisper +import time +import threading + +# Load Whisper model +model = whisper.load_model("base.en") + +# Parameters for recording +CHUNK = 256 # Buffer size +FORMAT = pyaudio.paInt16 # Audio format +CHANNELS = 1 # Number of audio channels +RATE = 16000 # Sample rate +BUFFER_SECONDS = 5 # Duration of audio to buffer for each transcription +SILENCE_THRESHOLD = 500 # Threshold for considering silence +SILENCE_DURATION = 3 # Duration of silence to trigger pause + +# Initialize PyAudio +p = pyaudio.PyAudio() + +# Open a stream +stream = p.open(format=FORMAT, + channels=CHANNELS, + rate=RATE, + input=True, + frames_per_buffer=CHUNK) + +# Thread-safe buffer for audio data +buffer = [] +pause_event = threading.Event() # Event to control pausing +buffer_lock = threading.Lock() + +def record_audio(): + global buffer + print("Recording...") + silence_start = None + try: + while True: + if pause_event.is_set(): + time.sleep(0.1) + continue + + data = stream.read(CHUNK) + audio_chunk = np.frombuffer(data, dtype=np.int16) + with buffer_lock: + buffer.append(data) + + # Detect silence + if np.max(audio_chunk) < SILENCE_THRESHOLD: + if silence_start is None: + silence_start = time.time() + elif time.time() - silence_start >= SILENCE_DURATION: + print("Silence detected, pausing transcription.") + pause_event.set() + else: + silence_start = None + + # Limit buffer size to BUFFER_SECONDS of audio + if len(buffer) > int(RATE / CHUNK * BUFFER_SECONDS): + with buffer_lock: + buffer = buffer[-int(RATE / CHUNK * BUFFER_SECONDS):] + + except KeyboardInterrupt: + print("Stopping...") + +def transcribe_audio(): + global buffer + while True: + if pause_event.is_set(): + time.sleep(0.1) + continue + + time.sleep(BUFFER_SECONDS) + with buffer_lock: + if buffer: + audio_data = np.frombuffer(b''.join(buffer), dtype=np.int16).astype(np.float32) / 32768.0 + buffer = [] + + if len(audio_data) > 0: + result = model.transcribe(audio_data) + yield result["text"] + +def manual_pause_resume(): + if pause_event.is_set(): + print("Resuming transcription.") + pause_event.clear() + else: + print("Pausing transcription.") + pause_event.set() + +# Start recording and transcribing threads +recording_thread = threading.Thread(target=record_audio) +recording_thread.start() + +def main(): + transcription_generator = transcribe_audio() + while True: + try: + transcription = next(transcription_generator) + print("Transcription:", transcription) + except StopIteration: + break + except KeyboardInterrupt: + print("Exiting...") + break + + # Close the stream + stream.stop_stream() + stream.close() + p.terminate() + +if __name__ == "__main__": + main() + +# Example manual pause/resume usage +try: + while True: + command = input("Enter 'pause' to pause, 'resume' to resume: ") + if command == 'pause' or command == 'resume': + manual_pause_resume() +except KeyboardInterrupt: + print("Exiting...") + +# Join threads to main thread +recording_thread.join() diff --git a/poetry.lock b/poetry.lock index 776fb29116..6449d92e3d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1547,7 +1547,7 @@ readchar = ">=3.0.6" name = "intel-openmp" version = "2021.4.0" description = "Intel OpenMP* 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optional = true } uvicorn = { version = "^0.30.1", optional = true } dimits = "^0.0.30a0" +pyaudio = "^0.2.14" +openai-whisper = "^20231117" [tool.poetry.extras] os = ["opencv-python", "pyautogui", "plyer", "pywinctl", "pytesseract", "sentence-transformers", "ipywidgets", "torch", "timm", "screeninfo"] From 6fa224ff226091757790ddf7c8043d960f9ab5c3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Anton=20Solbj=C3=B8rg?= <4324290+Notnaton@users.noreply.github.com> Date: Thu, 13 Jun 2024 21:32:36 +0200 Subject: [PATCH 5/6] Update stream.py --- .../profiles/defaults/stream.py | 215 +++++++++--------- 1 file changed, 102 insertions(+), 113 deletions(-) diff --git a/interpreter/terminal_interface/profiles/defaults/stream.py b/interpreter/terminal_interface/profiles/defaults/stream.py index 616d8df765..c9bc06d00a 100644 --- a/interpreter/terminal_interface/profiles/defaults/stream.py +++ b/interpreter/terminal_interface/profiles/defaults/stream.py @@ -4,123 +4,112 @@ import time import threading -# Load Whisper model -model = whisper.load_model("base.en") - -# Parameters for recording -CHUNK = 256 # Buffer size -FORMAT = pyaudio.paInt16 # Audio format -CHANNELS = 1 # Number of audio channels -RATE = 16000 # Sample rate -BUFFER_SECONDS = 5 # Duration of audio to buffer for each transcription -SILENCE_THRESHOLD = 500 # Threshold for considering silence -SILENCE_DURATION = 3 # Duration of silence to trigger pause - -# Initialize PyAudio -p = pyaudio.PyAudio() - -# Open a stream -stream = p.open(format=FORMAT, - channels=CHANNELS, - rate=RATE, - input=True, - frames_per_buffer=CHUNK) - -# Thread-safe buffer for audio data -buffer = [] -pause_event = threading.Event() # Event to control pausing -buffer_lock = threading.Lock() - -def record_audio(): - global buffer - print("Recording...") - silence_start = None - try: - while True: - if pause_event.is_set(): +class LiveTranscriber: + def __init__(self, model_name="base", rate=16000, chunk=1024, buffer_seconds=5, silence_threshold=500, silence_duration=3): + self.model = whisper.load_model(model_name) + self.rate = rate + self.chunk = chunk + self.buffer_seconds = buffer_seconds + self.silence_threshold = silence_threshold + self.silence_duration = silence_duration + self.buffer = [] + self.pause_event = threading.Event() + self.stop_event = threading.Event() + self.buffer_lock = threading.Lock() + self.p = pyaudio.PyAudio() + self.stream = self.p.open(format=pyaudio.paInt16, + channels=1, + rate=self.rate, + input=True, + frames_per_buffer=self.chunk) + self.recording_thread = threading.Thread(target=self.record_audio) + self.transcribing_thread = threading.Thread(target=self.transcribe_audio) + self.transcription_generator = self._transcription_generator() + + def start(self): + self.recording_thread.start() + self.transcribing_thread.start() + + def stop(self): + self.stop_event.set() + self.recording_thread.join() + self.transcribing_thread.join() + self.stream.stop_stream() + self.stream.close() + self.p.terminate() + print("Stopped successfully.") + + def record_audio(self): + print("Recording...") + try: + while not self.stop_event.is_set(): + if self.pause_event.is_set(): + time.sleep(0.1) + continue + + data = self.stream.read(self.chunk, exception_on_overflow=False) + with self.buffer_lock: + self.buffer.append(data) + + if len(self.buffer) > int(self.rate / self.chunk * self.buffer_seconds): + with self.buffer_lock: + self.buffer = self.buffer[-int(self.rate / self.chunk * self.buffer_seconds):] + + except Exception as e: + print(f"Recording error: {e}") + finally: + self.stop_event.set() + + def transcribe_audio(self): + try: + for transcription in self.transcription_generator: + yield transcription + #print("Transcription:", transcription) + except Exception as e: + print(f"Transcription error: {e}") + finally: + self.stop_event.set() + + def _transcription_generator(self): + while not self.stop_event.is_set(): + if self.pause_event.is_set(): time.sleep(0.1) continue - data = stream.read(CHUNK) - audio_chunk = np.frombuffer(data, dtype=np.int16) - with buffer_lock: - buffer.append(data) - - # Detect silence - if np.max(audio_chunk) < SILENCE_THRESHOLD: - if silence_start is None: - silence_start = time.time() - elif time.time() - silence_start >= SILENCE_DURATION: - print("Silence detected, pausing transcription.") - pause_event.set() - else: - silence_start = None - - # Limit buffer size to BUFFER_SECONDS of audio - if len(buffer) > int(RATE / CHUNK * BUFFER_SECONDS): - with buffer_lock: - buffer = buffer[-int(RATE / CHUNK * BUFFER_SECONDS):] - - except KeyboardInterrupt: - print("Stopping...") - -def transcribe_audio(): - global buffer - while True: - if pause_event.is_set(): - time.sleep(0.1) - continue - - time.sleep(BUFFER_SECONDS) - with buffer_lock: - if buffer: - audio_data = np.frombuffer(b''.join(buffer), dtype=np.int16).astype(np.float32) / 32768.0 - buffer = [] - - if len(audio_data) > 0: - result = model.transcribe(audio_data) - yield result["text"] - -def manual_pause_resume(): - if pause_event.is_set(): - print("Resuming transcription.") - pause_event.clear() - else: + time.sleep(self.buffer_seconds) + with self.buffer_lock: + if self.buffer: + audio_data = np.frombuffer(b''.join(self.buffer), dtype=np.int16).astype(np.float32) / 32768.0 + self.buffer = [] + + if len(audio_data) > 0: + result = self.model.transcribe(audio_data) + if result["text"].strip(): + yield result["text"] + + def toggle_pause_resume(self): + if self.pause_event.is_set(): + print("Resuming transcription.") + self.pause_event.clear() + else: + print("Pausing transcription.") + self.pause_event.set() + + def pause(self): print("Pausing transcription.") - pause_event.set() + self.pause_event.set() + + def resume(self): + print("Resuming transcription.") + self.pause_event.clear() + +if __name__ == "__main__": + live_transcriber = LiveTranscriber() + live_transcriber.start() -# Start recording and transcribing threads -recording_thread = threading.Thread(target=record_audio) -recording_thread.start() + for text in live_transcriber._transcription_generator(): + print(text) -def main(): - transcription_generator = transcribe_audio() - while True: - try: - transcription = next(transcription_generator) - print("Transcription:", transcription) - except StopIteration: - break - except KeyboardInterrupt: - print("Exiting...") - break - - # Close the stream - stream.stop_stream() - stream.close() - p.terminate() + # Manual pause and resume control + #live_transcriber.manual_pause_resume() # Toggle pause/resume -if __name__ == "__main__": - main() - -# Example manual pause/resume usage -try: - while True: - command = input("Enter 'pause' to pause, 'resume' to resume: ") - if command == 'pause' or command == 'resume': - manual_pause_resume() -except KeyboardInterrupt: - print("Exiting...") - -# Join threads to main thread -recording_thread.join() From 34b228b07c3d0ea674e66c86369e5af03d65acd3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Anton=20Solbj=C3=B8rg?= <4324290+Notnaton@users.noreply.github.com> Date: Thu, 13 Jun 2024 21:33:52 +0200 Subject: [PATCH 6/6] Moving and renaming --- .../{profiles/defaults/stream.py => utils/live_transcribe.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename interpreter/terminal_interface/{profiles/defaults/stream.py => utils/live_transcribe.py} (100%) diff --git a/interpreter/terminal_interface/profiles/defaults/stream.py b/interpreter/terminal_interface/utils/live_transcribe.py similarity index 100% rename from interpreter/terminal_interface/profiles/defaults/stream.py rename to interpreter/terminal_interface/utils/live_transcribe.py