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from control import recommendation_handler |
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import numpy as np |
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prompt_json, _ = recommendation_handler.populate_json() |
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prompt = """ |
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Hello how are you? |
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. """ |
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model_id='sentence-transformers/all-MiniLM-L6-v2' |
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embedding_fn = recommendation_handler.get_embedding_func(inference='local', model_id=model_id) |
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print(recommendation_handler.split_into_sentences(prompt)) |
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recommendation_json = recommendation_handler.recommend_prompt(prompt, prompt_json, embedding_fn=embedding_fn, get_xy=True) |
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print(recommendation_json) |