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utils.py

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+import numpy as np
+import openai
+import os
+import random
+import string
+
+
+def is_climate_change_related(sentence: str, classifier) -> bool:
+    """_summary_
+
+    Args:
+        sentence (str): your sentence to classify
+        classifier (_type_): zero shot hugging face pipeline classifier
+
+    Returns:
+        bool: is_climate_change_related or not
+    """
+    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): a list of even lenght
+    Returns:
+        list: the list as tupple pairs
+    """
+    assert not (l := len(lst) % 2), f"your list is of lenght {l} which is not even"
+    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}"
+
+
+def create_user_id(length):
+    """Create user_id
+    Args:
+        length (int): length of user id
+    Returns:
+        str: String to id user
+    """
+    letters = string.ascii_lowercase
+    user_id = "".join(random.choice(letters) for i in range(length))
+    return user_id
+
+
+def to_completion(messages):
+    s = []
+    for message in messages:
+        s.append(f"<|im_start|>{message['role']}\n{message['content']}<|im_end|>")
+    s.append("<|im_start|>assistant\n")
+    return "\n".join(s)