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Delete demo.py

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  1. demo.py +0 -23
demo.py DELETED
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- import duckdb
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- import polars as pl
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- from datasets import load_dataset
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- from model2vec import StaticModel
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-
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- # Load a model from the HuggingFace hub (in this case the potion-base-8M model)
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- model_name = "minishlab/potion-base-8M"
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- model = StaticModel.from_pretrained(model_name)
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-
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- # Make embeddings
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- ds = load_dataset("fka/awesome-chatgpt-prompts")
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- df = ds["train"].to_polars()
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- embeddings = model.encode(df["act"])
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- df = df.with_columns(pl.Series(embeddings).alias("embeddings"))
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- vector = model.encode("An Ethereum Developer", show_progress_bar=True)
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- duckdb.sql(
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- query=f"""
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- SELECT *
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- FROM df
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- ORDER BY array_cosine_distance(embeddings, {vector.tolist()}::FLOAT[256])
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- LIMIT 10
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- """
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- ).show()