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https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-22 08:07:56 +01:00
Sort selected superbooga chunks by insertion order
For better coherence
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b07f849e41
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@ -45,15 +45,32 @@ class ChromaCollector(Collecter):
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self.ids = [f"id{i}" for i in range(len(texts))]
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self.collection.add(documents=texts, ids=self.ids)
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def get(self, search_strings: list[str], n_results: int) -> list[str]:
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def get_documents_and_ids(self, search_strings: list[str], n_results: int):
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n_results = min(len(self.ids), n_results)
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result = self.collection.query(query_texts=search_strings, n_results=n_results, include=['documents'])['documents'][0]
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return result
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result = self.collection.query(query_texts=search_strings, n_results=n_results, include=['documents'])
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documents = result['documents'][0]
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ids = list(map(lambda x: int(x[2:]), result['ids'][0]))
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return documents, ids
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# Get chunks by similarity
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def get(self, search_strings: list[str], n_results: int) -> list[str]:
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documents, _ = self.get_documents_and_ids(search_strings, n_results)
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return documents
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# Get ids by similarity
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def get_ids(self, search_strings: list[str], n_results: int) -> list[str]:
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n_results = min(len(self.ids), n_results)
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result = self.collection.query(query_texts=search_strings, n_results=n_results, include=['documents'])['ids'][0]
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return list(map(lambda x: int(x[2:]), result))
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_ , ids = self.get_documents_and_ids(search_strings, n_results)
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return ids
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# Get chunks by similarity and then sort by insertion order
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def get_sorted(self, search_strings: list[str], n_results: int) -> list[str]:
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documents, ids = self.get_documents_and_ids(search_strings, n_results)
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return [x for _, x in sorted(zip(ids, documents))]
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# Get ids by similarity and then sort by insertion order
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def get_ids_sorted(self, search_strings: list[str], n_results: int) -> list[str]:
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_ , ids = self.get_documents_and_ids(search_strings, n_results)
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return sorted(ids)
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def clear(self):
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self.collection.delete(ids=self.ids)
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@ -96,7 +96,7 @@ def custom_generate_chat_prompt(user_input, state, **kwargs):
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global chat_collector
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if state['mode'] == 'instruct':
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results = collector.get(user_input, n_results=chunk_count)
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results = collector.get_sorted(user_input, n_results=chunk_count)
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additional_context = '\nYour reply should be based on the context below:\n\n' + '\n'.join(results)
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user_input += additional_context
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else:
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@ -116,7 +116,7 @@ def custom_generate_chat_prompt(user_input, state, **kwargs):
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add_chunks_to_collector(chunks, chat_collector)
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query = '\n'.join(shared.history['internal'][-1] + [user_input])
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try:
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best_ids = chat_collector.get_ids(query, n_results=chunk_count)
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best_ids = chat_collector.get_ids_sorted(query, n_results=chunk_count)
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additional_context = '\n'
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for id_ in best_ids:
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if shared.history['internal'][id_][0] != '<|BEGIN-VISIBLE-CHAT|>':
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@ -147,7 +147,7 @@ def input_modifier(string):
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user_input = match.group(1).strip()
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# Get the most similar chunks
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results = collector.get(user_input, n_results=chunk_count)
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results = collector.get_sorted(user_input, n_results=chunk_count)
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# Make the injection
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string = string.replace('<|injection-point|>', '\n'.join(results))
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