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40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
"""
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This module is responsible for handling and modifying the notebook text.
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"""
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import re
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import extensions.superboogav2.parameters as parameters
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from extensions.superboogav2.utils import create_context_text
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from modules.logging_colors import logger
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from .data_processor import preprocess_text
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def _remove_special_tokens(string):
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pattern = r'(<\|begin-user-input\|>|<\|end-user-input\|>|<\|injection-point\|>)'
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return re.sub(pattern, '', string)
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def input_modifier_internal(string, collector, is_chat):
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# Sanity check.
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if is_chat:
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return string
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# Find the user input
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pattern = re.compile(r"<\|begin-user-input\|>(.*?)<\|end-user-input\|>", re.DOTALL)
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match = re.search(pattern, string)
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if match:
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# Preprocess the user prompt.
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user_input = match.group(1).strip()
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user_input = preprocess_text(user_input)
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logger.debug(f"Preprocessed User Input: {user_input}")
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# Get the most similar chunks
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results = collector.get_sorted_by_dist(user_input, n_results=parameters.get_chunk_count(), max_token_count=int(parameters.get_max_token_count()))
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# Make the injection
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string = string.replace('<|injection-point|>', create_context_text(results))
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return _remove_special_tokens(string)
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