AttributeError Traceback (most recent call last)
<ipython-input-25-2b2489375d2b> in <module>
11 "CeFi, People to Watch, Crypto Policy, Ethereum, L1, L2, DAOs and Web3.")
12
---> 13 list_index = GPTListIndex([index1, index2, index3])
14 graph = ComposableGraph.build_from_index(list_index)
15
8 frames
/usr/local/lib/python3.9/dist-packages/llama_index/indices/list/base.py in __init__(self, documents, index_struct, text_qa_template, llm_predictor, text_splitter, **kwargs)
55 """Initialize params."""
56 self.text_qa_template = text_qa_template or DEFAULT_TEXT_QA_PROMPT
---> 57 super().__init__(
58 documents=documents,
59 index_struct=index_struct,
/usr/local/lib/python3.9/dist-packages/llama_index/indices/base.py in __init__(self, documents, index_struct, llm_predictor, embed_model, docstore, index_registry, prompt_helper, text_splitter, chunk_size_limit, include_extra_info, llama_logger)
112 self._validate_documents(documents)
113 # TODO: introduce document store outside __init__ function
--> 114 self._index_struct = self.build_index_from_documents(documents)
115 # update index registry and docstore with index_struct
116 self._update_index_registry_and_docstore()
/usr/local/lib/python3.9/dist-packages/llama_index/token_counter/token_counter.py in wrapped_llm_predict(_self, *args, **kwargs)
84 def wrapped_llm_predict(_self: Any, *args: Any, **kwargs: Any) -> Any:
85 with wrapper_logic(_self):
---> 86 f_return_val = f(_self, *args, **kwargs)
87
88 return f_return_val/usr/local/lib/python3.9/dist-packages/llama_index/indices/base.py in build_index_from_documents(self, documents)
284 def build_index_from_documents(self, documents: Sequence[BaseDocument]) -> IS:
285 """Build the index from documents."""
--> 286 return self._build_index_from_documents(documents)
287
288 @abstractmethod
/usr/local/lib/python3.9/dist-packages/llama_index/indices/list/base.py in _build_index_from_documents(self, documents)
90 index_struct = IndexList()
91 for d in documents:
---> 92 nodes = self._get_nodes_from_document(d)
93 for n in nodes:
94 index_struct.add_node(n)
/usr/local/lib/python3.9/dist-packages/llama_index/indices/base.py in _get_nodes_from_document(self, document, start_idx)
266 start_idx: int = 0,
267 ) -> List[Node]:
--> 268 return get_nodes_from_document(
269 document=document,
270 text_splitter=self._text_splitter,
/usr/local/lib/python3.9/dist-packages/llama_index/indices/node_utils.py in get_nodes_from_document(document, text_splitter, start_idx, include_extra_info)
48 ) -> List[Node]:
49 """Add document to index."""
---> 50 text_splits = get_text_splits_from_document(
51 document=document,
52 text_splitter=text_splitter,
/usr/local/lib/python3.9/dist-packages/llama_index/indices/node_utils.py in get_text_splits_from_document(document, text_splitter, include_extra_info)
28 if isinstance(text_splitter, TokenTextSplitter):
29 # use this to extract extra information about the chunks
---> 30 text_splits = text_splitter.split_text_with_overlaps(
31 document.get_text(),
32 extra_info_str=document.extra_info_str if include_extra_info else None,/usr/local/lib/python3.9/dist-packages/llama_index/langchain_helpers/text_splitter.py in split_text_with_overlaps(self, text, extra_info_str)
141
142 # First we naively split the large input into a bunch of smaller ones.
--> 143 splits = text.split(self._separator)
144 splits = self._preprocess_splits(splits, effective_chunk_size)
145 # We now want to combine these smaller pieces into medium size
AttributeError: 'dict' object has no attribute 'split'index_1.set_text("")