41 lines
1.6 KiB
Python
41 lines
1.6 KiB
Python
import os
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from dotenv import load_dotenv
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load_dotenv() # Load environment variables from .env file
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# Default provider, ONLY used when the extraction strategy is LLMExtractionStrategy
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DEFAULT_PROVIDER = "openai/gpt-4-turbo"
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MODEL_REPO_BRANCH = "new-release-0.0.2"
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# Provider-model dictionary, ONLY used when the extraction strategy is LLMExtractionStrategy
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PROVIDER_MODELS = {
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"ollama/llama3": "no-token-needed", # Any model from Ollama no need for API token
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"groq/llama3-70b-8192": os.getenv("GROQ_API_KEY"),
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"groq/llama3-8b-8192": os.getenv("GROQ_API_KEY"),
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"openai/gpt-3.5-turbo": os.getenv("OPENAI_API_KEY"),
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"openai/gpt-4-turbo": os.getenv("OPENAI_API_KEY"),
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"openai/gpt-4o": os.getenv("OPENAI_API_KEY"),
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"anthropic/claude-3-haiku-20240307": os.getenv("ANTHROPIC_API_KEY"),
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"anthropic/claude-3-opus-20240229": os.getenv("ANTHROPIC_API_KEY"),
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"anthropic/claude-3-sonnet-20240229": os.getenv("ANTHROPIC_API_KEY"),
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}
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# Chunk token threshold
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CHUNK_TOKEN_THRESHOLD = 500
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OVERLAP_RATE = 0.1
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WORD_TOKEN_RATE = 1.3
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# Threshold for the minimum number of word in a HTML tag to be considered
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MIN_WORD_THRESHOLD = 1
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IMAGE_DESCRIPTION_MIN_WORD_THRESHOLD = 1
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# Threshold for the Image extraction - Range is 1 to 6
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# Images are scored based on point based system, to filter based on usefulness. Points are assigned
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# to each image based on the following aspects.
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# If either height or width exceeds 150px
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# If image size is greater than 10Kb
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# If alt property is set
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# If image format is in jpg, png or webp
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# If image is in the first half of the total images extracted from the page
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IMAGE_SCORE_THRESHOLD = 2
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