Error with t2ebm.describe_graph(method)

[mklomo]

The code below

gpt_model = "gpt-4-turbo-2024-04-09" graph_dec = t2ebm.describe_graph(gpt_model, ebm, 0)

Results in an Attribute Error below. The version of t2ebm is '0.1.2'. Thanks for the project.

---

AttributeError Traceback (most recent call last) Cell In[20], line 6 3 gpt_model = "gpt-4-turbo-2024-04-09" 5 # Describe feature 0 ----> 6 graph_dec = t2ebm.describe_graph(gpt_model, ebm, 0)

File ~/miniconda3/envs/explainable_ai/lib/python3.13/site-packages/t2ebm/functions.py:71, in describe_graph(llm, ebm, feature_index, num_sentences, **kwargs) 56 """Ask the LLM to describe a graph. Uses chain-of-thought reasoning. 57 58 The function accepts additional keyword arguments that are passed to extract_graph, graph_to_text, and describe_graph_cot. (...) 67 str: The description of the graph. 68 """ 70 # llm setup ---> 71 llm = t2ebm.llm.setup(llm) 73 # extract the graph from the EBM 74 extract_kwargs = list(inspect.signature(extract_graph).parameters)

AttributeError: module 't2ebm' has no attribute 'llm'