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39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
from pathlib import Path
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from dotenv import load_dotenv
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# loads environment variables
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load_dotenv()
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APP_NAME = "DataChad"
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MODEL = "gpt-3.5-turbo"
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PAGE_ICON = "🤖"
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DATA_PATH = Path.cwd() / "data"
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DEFAULT_DATA_SOURCE = "git@github.com:gustavz/DataChad.git"
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REPO_URL = "https://github.com/gustavz/DataChad"
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AUTHENTICATION_HELP = f"""
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Your credentials are only stored in your session state.\n
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The keys are neither exposed nor made visible or stored permanently in any way.\n
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Feel free to check out [the code base]({REPO_URL}) to validate how things work.
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"""
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OPENAI_HELP = """
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You can sign-up for OpenAI's API [here](https://openai.com/blog/openai-api).\n
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Once you are logged in, you find the API keys [here](https://platform.openai.com/account/api-keys)
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"""
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ACTIVELOOP_HELP = """
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You can create an ActiveLoops account (including 500GB of free database storage) [here](https://www.activeloop.ai/).\n
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Once you are logged in, you find the API token [here](https://app.activeloop.ai/profile/gustavz/apitoken).\n
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The organisation name is your username, or you can create new organisations [here](https://app.activeloop.ai/organization/new/create)
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"""
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USAGE_HELP = f"""
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These are the accumulated OpenAI API usage metrics.\n
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The app uses '{MODEL}' for chat and 'text-embedding-ada-002' for embeddings.\n
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Learn more about OpenAI's pricing [here](https://openai.com/pricing#language-models)
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"""
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