Overview

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import pyaudio
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from murf import Murf, MurfRegion
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client = Murf(
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    api_key="YOUR_API_KEY", # Not required if you have set the MURF_API_KEY environment variable
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    region=MurfRegion.GLOBAL
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)
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# For lower latency, specify a region closer to your users
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# client = Murf(region=MurfRegion.IN)  # Example: India region
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# Audio format settings (must match your API output)
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SAMPLE_RATE = 24000  
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CHANNELS = 1
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FORMAT = pyaudio.paInt16
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def play_streaming_audio():
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    # Get the streaming audio generator
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    audio_stream = client.text_to_speech.stream(
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        text="Hi, How are you doing today?",
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        voice_id="Matthew",
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        model="FALCON",
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        locale="en-US",
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        sample_rate=SAMPLE_RATE,
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        format="PCM"
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    )
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    # Setup audio stream for playback
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    pa = pyaudio.PyAudio()
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    stream = pa.open(format=FORMAT, channels=CHANNELS, rate=SAMPLE_RATE, output=True)
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    try:
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        print("Starting audio playback...")
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        for chunk in audio_stream:
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            if chunk:  # Check if chunk has data
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                stream.write(chunk)
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    except Exception as e:
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        print(f"Error during streaming: {e}")
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    finally:
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        stream.stop_stream()
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        stream.close()
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        pa.terminate()
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        print("Audio streaming and playback complete!")
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if __name__ == "__main__":
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    play_streaming_audio()

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from murf import Murf
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client = Murf(
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    api_key="YOUR_API_KEY" # Not required if you have set the MURF_API_KEY environment variable
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)
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res = client.text_to_speech.generate(
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    text="There is much to be said",
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    voice_id="Terrell",
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    locale="en-US"
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)
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print(res.audio_file)

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from murf import Murf
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client = Murf()
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res = client.text_to_speech.generate(
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    text="Hi, How are you doing today?",
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    voice_id="Julia",
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    locale="en-US",
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    format="MP3",
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    channel_type="STEREO",
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    sample_rate=44100
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)

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from murf import Murf
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client = Murf()
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res = client.text_to_speech.generate(
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    text="Hi, How are you doing today?",
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    voice_id="Julia",
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    encode_as_base_64=True
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)

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from murf import Murf
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client = Murf()
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client.text_to_speech.generate(
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        text="Hi, How are you doing today?",
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        voice_id="Natalie",
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        encode_as_base_64=True,
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        request_options={
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            'additional_headers': {
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                'accept-encoding': 'gzip'
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            }
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        }
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)