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# Written by retoor@molodetz.nl
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# This script listens to audio input via a microphone, recognizes speech using the Google API, sends the recognized text to a server for processing, and uses Google Cloud to convert the server response to speech.
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# Imports:
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# - speech_recognition: For speech recognition functionality.
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# - xmlrpc.client: To communicate with a remote server using the XML-RPC protocol.
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# - gcloud: Presumably for Google Cloud services, though this requires clarification or specific library inclusion.
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# MIT License
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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import speech_recognition as sr
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from xmlrpc.client import ServerProxy
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import gcloud
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molodetz = ServerProxy("https://api.molodetz.nl/rpc")
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def listen():
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recognizer = sr.Recognizer()
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with sr.Microphone() as source:
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print("Adjusting to surroundings for a five seconds.")
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#recognizer.non_speaking_duration = 60*60
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while True:
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print("Listening...")
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try:
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audio_data = recognizer.listen(source, timeout=10)
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text = recognizer.recognize_google(audio_data, language="nl-NL") #en-US
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source = None
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recognizer = None
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return text
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except sr.WaitTimeoutError:
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continue
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except sr.UnknownValueError:
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continue
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except sr.RequestError:
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continue
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async def main():
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#recognizer.adjust_for_ambient_noise(source, duration=5)
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while True:
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text = listen()
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print(f"You said:\n\t{text}")
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response_llm = molodetz.gpt4o_mini(text)
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print(f"GPT4o mini said:\n\t{response_llm}")
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await gcloud.tts(response_llm)
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if __name__ == "__main__":
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import asyncio
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asyncio.run(main())
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