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"""Token predictor utils.""" | |
from typing import Optional | |
from gpt_index.indices.keyword_table.utils import simple_extract_keywords | |
def mock_extract_keywords_response( | |
text_chunk: str, max_keywords: Optional[int] = None, filter_stopwords: bool = True | |
) -> str: | |
"""Extract keywords mock response. | |
Same as simple_extract_keywords but without filtering stopwords. | |
""" | |
return ",".join( | |
simple_extract_keywords( | |
text_chunk, max_keywords=max_keywords, filter_stopwords=False | |
) | |
) | |
def mock_extract_kg_triplets_response( | |
text_chunk: str, max_triplets: Optional[int] = None | |
) -> str: | |
"""Generate 1 or more fake triplets.""" | |
response = "" | |
if max_triplets is not None: | |
for i in range(max_triplets): | |
response += "(This is, a mock, triplet)\n" | |
else: | |
response += "(This is, a mock, triplet)\n" | |
return response | |