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import numpy as np | |
import openai | |
import os | |
def is_climate_change_related(sentence: str, classifier) -> bool: | |
"""_summary_ | |
Args: | |
sentence (str): _description_ | |
classifier (_type_): _description_ | |
Returns: | |
bool: _description_ | |
""" | |
results = classifier( | |
sequences=sentence, | |
candidate_labels=["climate change related", "non climate change related"], | |
) | |
print(f" ## Result from is climate change related {results}") | |
return results["labels"][np.argmax(results["scores"])] == "climate change related" | |
def make_pairs(lst): | |
"""From a list of even lenght, make tupple pairs | |
Args: | |
lst (list): _description_ | |
Returns: | |
list: _description_ | |
""" | |
return [(lst[i], lst[i + 1]) for i in range(0, len(lst), 2)] | |
def set_openai_api_key(text): | |
"""Set the api key and return chain.If no api_key, then None is returned. | |
To do : add raise error & Warning message | |
Args: | |
text (str): openai api key | |
Returns: | |
str: Result of connection | |
""" | |
openai.api_key = os.environ["api_key"] | |
if text.startswith("sk-") and len(text) > 10: | |
openai.api_key = text | |
return f"You're all set: this is your api key: {openai.api_key}" | |