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import io, os
from pathlib import Path

import torchaudio
from google import genai
from pydantic import BaseModel

# If in colab...
# from google.colab import userdata
# os.environ["GOOGLE_API_KEY"] = userdata.get('GOOGLE_API_KEY')

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{"text":"[INST] <<SYS>>\nUse the Input to provide a summary of a conversation.\n<<\/SYS>>\n\nInput:\nAmanda: I baked  cookies. Do you want some?\r\nJerry: Sure!\r\nAmanda: I'll bring you tomorrow :-) [\/INST]\n\nSummary: Amanda baked cookies and will bring Jerry some tomorrow."}
{"text":"[INST] <<SYS>>\nUse the Input to provide a summary of a conversation.\n<<\/SYS>>\n\nInput:\nOlivia: Who are you voting for in this election? \r\nOliver: Liberals as always.\r\nOlivia: Me too!!\r\nOliver: Great [\/INST]\n\nSummary: Olivia and Olivier are voting for liberals in this election. "}

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import io
import time
from pathlib import Path

from modal import Image, Stub, method


stub = Stub("stable-diffusion-qrcode-cli")
cache_dir = "/vol/cache"

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"""
Download the clips within the MusicCaps dataset from YouTube.

Requires:
    - ffmpeg
    - yt-dlp
    - datasets[audio]
    - torchaudio
"""
import subprocess

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