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  • transcript.py
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To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

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swh:1:cnt:9e01b4701a74c8dd724e4d69186e3ff46ee43674
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swh:1:dir:5cb6bb7ee827f722ac263c83caff357a87f2c8a8

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

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(requires biblatex-software package)
Generating citation ...
(requires biblatex-software package)
Generating citation ...
transcript.py
"""Create video transcript with the Groq API.

Script adapted from the Groq API documentation:
https://console.groq.com/docs/speech-text
"""

from pathlib import Path

from groq import Groq

# Initialize the Groq client
client = Groq()

# Specify the path to the audio file
filename = Path(__file__).parent.absolute() / "audio_clean.mp3"

# Open the audio file
with open(filename, "rb") as audiofile:
    # Create a transcription of the audio file
    transcription = client.audio.transcriptions.create(
        file=(str(filename), audiofile.read()),
        model="whisper-large-v3",
        response_format="json",
        language="fr",
        temperature=0.0,
    )
    # Print the transcription text
    print(transcription.text)

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