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utils.py
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import numpy as np
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import openai
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import os
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import random
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import string
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def is_climate_change_related(sentence: str, classifier) -> bool:
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"""_summary_
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Args:
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sentence (str): your sentence to classify
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classifier (_type_): zero shot hugging face pipeline classifier
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Returns:
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bool: is_climate_change_related or not
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"""
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results = classifier(
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sequences=sentence,
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candidate_labels=["climate change related", "non climate change related"],
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)
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print(f" ## Result from is climate change related {results}")
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return results["labels"][np.argmax(results["scores"])] == "climate change related"
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def make_pairs(lst):
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"""From a list of even lenght, make tupple pairs
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Args:
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lst (list): a list of even lenght
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Returns:
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list: the list as tupple pairs
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"""
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assert not (l := len(lst) % 2), f"your list is of lenght {l} which is not even"
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return [(lst[i], lst[i + 1]) for i in range(0, len(lst), 2)]
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def set_openai_api_key(text):
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"""Set the api key and return chain.If no api_key, then None is returned.
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To do : add raise error & Warning message
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Args:
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text (str): openai api key
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Returns:
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str: Result of connection
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"""
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openai.api_key = os.environ["api_key"]
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if text.startswith("sk-") and len(text) > 10:
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openai.api_key = text
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return f"You're all set: this is your api key: {openai.api_key}"
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def create_user_id(length):
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"""Create user_id
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Args:
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length (int): length of user id
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Returns:
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str: String to id user
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"""
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letters = string.ascii_lowercase
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user_id = "".join(random.choice(letters) for i in range(length))
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return user_id
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def to_completion(messages):
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s = []
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for message in messages:
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s.append(f"<|im_start|>{message['role']}\n{message['content']}<|im_end|>")
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s.append("<|im_start|>assistant\n")
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return "\n".join(s)
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