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def speech_to_text(bucket_name, audio_blob_name):
    client = speech_v1p1beta1.SpeechClient()
    # storage_uri = 'gs://cloud-samples-data/speech/brooklyn_bridge.mp3'
    storage_uri = 'gs://' + bucket_name + '/' + audio_blob_name
    # The language of the supplied audio
    language_code = "en-GB"
    # Sample rate in Hertz of the audio data sent
    sample_rate_hertz = 44100

    encoding = enums.RecognitionConfig.AudioEncoding.MP3

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def upload_blob(bucket_name, source_file_name, destination_blob_name):
    """Uploads a file to the bucket."""
    # bucket_name = "your-bucket-name"
    # source_file_name = "local/path/to/file"
    # destination_blob_name = "storage-object-name"

    storage_client = storage.Client()
    bucket = storage_client.bucket(bucket_name)
    blob = bucket.blob(destination_blob_name)

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def translate(text,language):
    from google.cloud import translate_v2 as translate
    translate_client = translate.Client()

    if isinstance(text, bytes):
        text = text.decode('utf-8')

    # Text can also be a sequence of strings, in which case this method
    # will return a sequence of results for each text.
    result = translate_client.translate(

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def text_to_speech(speak, languageCode, outputFilePath, speed=1.0):
    """Synthesizes speech from the input string of text or ssml.

    Note: ssml must be well-formed according to:
        https://www.w3.org/TR/speech-synthesis/
    """
    from google.cloud import texttospeech

    # Instantiates a client
    client = texttospeech.TextToSpeechClient()

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def merge_video_with_audio_ffmpeg(videoFilePath,audioFilePath,filePathOutput,start_time_audio="00:00:05"):
    subprocess.call(['ffmpeg', '-i', videoFilePath,
                     '-itsoffset', start_time_audio,
                     '-i', audioFilePath,
                     '-c:v', 'copy',
                     '-map', '0:v:0',
                     '-map', '1:a:0',
                     filePathOutput, '-y'])

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def determineWeather():
    """
    We call the weather API and get the weather for the next few hours. 
    The API itself gives way too much information. All I want to know, 
    what is the minimum and maximum temperature and whether is going
    to rain or snow. And whether it is going to be light or heavy.
     >>> determineWeather()
     {'precipitation': False, 'heavyRain': False, 'heavySnow': False, 'temperatureCode': 'Hot'}
    """
    import http.client

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def setupWeatherFlow(bulb,weather,durationFlowSeconds=60):
    """
    We use HSV color transitions. In case there is no precipitation, the color will remain static for a minute or two.
    If there is precipitation, the light will pulse with varying levels of brightness.
    Depending on the temperature the light will be deep red if it is hot or deep blue if it is freezing.
    The flow itself will end automatically based on the durationFlowSeconds parameter.
    """
    hue = 0
    saturation = 100
    if weather['temperatureCode'] == "Hot":

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FROM python:rc-slim-buster
RUN TZ=Europe/London && ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
RUN apt-get -y update && apt-get -y install cron
RUN pip3 install yeelight
COPY files/* /home/

#RUN chmod 755 /script.sh /entry.sh
RUN /usr/bin/crontab /home/crontab.txt

# Run the command on container startup

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latitude=<YOUR LATITUDE>
longitude=<YOUR LONGITUDE>
metoffice_client_id=<CLIENT ID>
metoffice_client_secret=<CLIENT SECRET ID>

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apiVersion: v1
kind: Namespace
metadata:
  name: ingress-nginx-internal
  labels:
    app.kubernetes.io/name: ingress-nginx
    app.kubernetes.io/instance: ingress-nginx

---