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This commit is contained in:
Saifeddine ALOUI
parent
526ab46c4d
commit
b4c37b6983
@ -1,5 +1,5 @@
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# =================== Lord Of Large Language Multimodal Systems Configuration file ===========================
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version: 55
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version: 56
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binding_name: null
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model_name: null
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@ -125,7 +125,8 @@ internet_vectorization_chunk_size: 512 # chunk size
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internet_vectorization_overlap_size: 128 # overlap between chunks size
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internet_vectorization_nb_chunks: 2 # number of chunks to use
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internet_nb_search_pages: 3 # number of pages to select
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internet_quick_search: False # If active the search engine will not load and read the webpages
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internet_activate_search_decision: False # If active the ai decides by itself if it needs to do search
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# Helpers
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pdf_latex_path: null
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@ -1 +1 @@
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Subproject commit eda4d02626106d36553c63b9837489e3fe567608
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Subproject commit 7551e7fa021a9526239fda2ca0814583791c35c2
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@ -688,7 +688,8 @@ class LOLLMSWebUI(LOLLMSElfServer):
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Returns:
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Tuple[str, str, List[str]]: The prepared query, original message content, and tokenized query.
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"""
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if self.personality.callback is None:
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self.personality.callback = partial(self.process_chunk, client_id=client_id)
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# Get the list of messages
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messages = self.connections[client_id]["current_discussion"].get_messages()
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@ -706,8 +707,8 @@ class LOLLMSWebUI(LOLLMSElfServer):
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conditionning = self.personality.personality_conditioning
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# Check if there are document files to add to the prompt
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internet_search_rsults = ""
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internet_search_sources = []
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internet_search_results = ""
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internet_search_infos = []
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documentation = ""
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knowledge = ""
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@ -745,19 +746,28 @@ class LOLLMSWebUI(LOLLMSElfServer):
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if generation_type != "simple_question":
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if self.config.activate_internet_search:
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self.personality.callback = partial(self.process_chunk, client_id=client_id)
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if discussion is None:
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discussion = self.recover_discussion(client_id)[-512:]
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self.personality.step_start("Crafting internet search query")
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internet_search_rsults="!@>important information: Use the internet search results data to answer the user query. If the data is not present in the search, please tell the user that the information he is asking for was not found and he may need to increase the number of search pages from the settings. It is strictly forbidden to give the user an answer without having actual proof from the documentation.\n!@>Search results:\n"
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query = self.personality.fast_gen(f"\n!@>instruction: Read the discussion and craft a web search query suited to recover needed information to answer the user.\nDo not answer the prompt. Do not add explanations.\n!@>discussion:\n{discussion}\n!@>websearch query: ", max_generation_size=256, show_progress=True)
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self.personality.step_end("Crafting internet search query")
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self.personality.step_start("Performing Internet search")
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docs, sorted_similarities = self.personality.internet_search(query)
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for doc, infos in zip(docs, sorted_similarities):
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internet_search_sources.append(infos[0])
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internet_search_rsults += f"search result chunk:\n{doc}"
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self.personality.step_end("Performing INternet search")
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discussion = self.recover_discussion(client_id)
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if self.config.internet_activate_search_decision:
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self.personality.step_start(f"Requesting if {self.personality.name} needs to search internet to answer the user")
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need = not self.personality.yes_no(f"Are you able to fulfill {self.config.user_name}'s request without internet search?\nIf he is asking for information that can be found on internet please answer 0 (no).", discussion)
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self.personality.step_end(f"Requesting if {self.personality.name} needs to search internet to answer the user")
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self.personality.step("Yes" if need else "No")
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else:
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need=True
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if need:
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self.personality.step_start("Crafting internet search query")
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query = self.personality.fast_gen(f"!@>discussion:\n{discussion[-2048:]}\n!@>instruction: Read the discussion and craft a web search query suited to recover needed information to reply to last {self.config.user_name} message.\nDo not answer the prompt. Do not add explanations.\n!@>websearch query: ", max_generation_size=256, show_progress=True)
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self.personality.step_end("Crafting internet search query")
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self.personality.step_start("Performing Internet search")
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internet_search_results=f"!@>important information: Use the internet search results data to answer {self.config.user_name}'s last message. It is strictly forbidden to give the user an answer without having actual proof from the documentation.\n!@>Web search results:\n"
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docs, sorted_similarities, document_ids = self.personality.internet_search(query, self.config.internet_quick_search)
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for doc, infos,document_id in zip(docs, sorted_similarities, document_ids):
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internet_search_infos.append(document_id)
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internet_search_results += f"search result chunk:\nchunk_infos:{document_id['url']}\nchunk_title:{document_id['title']}\ncontent:{doc}"
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self.personality.step_end("Performing Internet search")
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if self.personality.persona_data_vectorizer:
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if documentation=="":
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@ -765,15 +775,15 @@ class LOLLMSWebUI(LOLLMSElfServer):
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if self.config.data_vectorization_build_keys_words:
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if discussion is None:
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discussion = self.recover_discussion(client_id)[-512:]
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query = self.personality.fast_gen(f"\n!@>instruction: Read the discussion and rewrite the last prompt for someone who didn't read the entire discussion.\nDo not answer the prompt. Do not add explanations.\n!@>discussion:\n{discussion}\n!@>enhanced query: ", max_generation_size=256, show_progress=True)
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discussion = self.recover_discussion(client_id)
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query = self.personality.fast_gen(f"\n!@>instruction: Read the discussion and rewrite the last prompt for someone who didn't read the entire discussion.\nDo not answer the prompt. Do not add explanations.\n!@>discussion:\n{discussion[-2048:]}\n!@>enhanced query: ", max_generation_size=256, show_progress=True)
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ASCIIColors.cyan(f"Query:{query}")
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else:
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query = current_message.content
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try:
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docs, sorted_similarities = self.personality.persona_data_vectorizer.recover_text(query, top_k=self.config.data_vectorization_nb_chunks)
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for doc, infos in zip(docs, sorted_similarities):
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documentation += f"document chunk:\n{doc}"
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docs, sorted_similarities, document_ids = self.personality.persona_data_vectorizer.recover_text(query, top_k=self.config.data_vectorization_nb_chunks)
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for doc, infos, doc_id in zip(docs, sorted_similarities, document_ids):
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documentation += f"document chunk:\nchunk_infos:{infos}\ncontent:{doc}"
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except:
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self.warning("Couldn't add documentation to the context. Please verify the vector database")
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@ -782,14 +792,14 @@ class LOLLMSWebUI(LOLLMSElfServer):
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documentation="\n!@>important information: Use the documentation data to answer the user questions. If the data is not present in the documentation, please tell the user that the information he is asking for does not exist in the documentation section. It is strictly forbidden to give the user an answer without having actual proof from the documentation.\n!@>Documentation:\n"
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if self.config.data_vectorization_build_keys_words:
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discussion = self.recover_discussion(client_id)[-512:]
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query = self.personality.fast_gen(f"\n!@>instruction: Read the discussion and rewrite the last prompt for someone who didn't read the entire discussion.\nDo not answer the prompt. Do not add explanations.\n!@>discussion:\n{discussion}\n!@>enhanced query: ", max_generation_size=256, show_progress=True)
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discussion = self.recover_discussion(client_id)
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query = self.personality.fast_gen(f"\n!@>instruction: Read the discussion and rewrite the last prompt for someone who didn't read the entire discussion.\nDo not answer the prompt. Do not add explanations.\n!@>discussion:\n{discussion[-2048:]}\n!@>enhanced query: ", max_generation_size=256, show_progress=True)
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ASCIIColors.cyan(f"Query:{query}")
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else:
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query = current_message.content
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try:
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docs, sorted_similarities = self.personality.vectorizer.recover_text(query, top_k=self.config.data_vectorization_nb_chunks)
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docs, sorted_similarities, document_ids = self.personality.vectorizer.recover_text(query, top_k=self.config.data_vectorization_nb_chunks)
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for doc, infos in zip(docs, sorted_similarities):
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documentation += f"document chunk:\nchunk path: {infos[0]}\nchunk content:{doc}"
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documentation += "\n!@>important information: Use the documentation data to answer the user questions. If the data is not present in the documentation, please tell the user that the information he is asking for does not exist in the documentation section. It is strictly forbidden to give the user an answer without having actual proof from the documentation."
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@ -801,7 +811,7 @@ class LOLLMSWebUI(LOLLMSElfServer):
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knowledge="!@>knowledge:\n"
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try:
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docs, sorted_similarities = self.long_term_memory.recover_text(current_message.content, top_k=self.config.data_vectorization_nb_chunks)
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docs, sorted_similarities, document_ids = self.long_term_memory.recover_text(current_message.content, top_k=self.config.data_vectorization_nb_chunks)
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for i,(doc, infos) in enumerate(zip(docs, sorted_similarities)):
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knowledge += f"!@>knowledge {i}:\n!@>title:\n{infos[0]}\ncontent:\n{doc}"
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except:
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@ -817,11 +827,11 @@ class LOLLMSWebUI(LOLLMSElfServer):
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# Tokenize the internet search results text and calculate its number of tokens
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if len(internet_search_rsults)>0:
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tokens_internet_search_rsults = self.model.tokenize(internet_search_rsults)
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n_isearch_tk = len(tokens_internet_search_rsults)
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if len(internet_search_results)>0:
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tokens_internet_search_results = self.model.tokenize(internet_search_results)
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n_isearch_tk = len(tokens_internet_search_results)
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else:
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tokens_internet_search_rsults = []
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tokens_internet_search_results = []
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n_isearch_tk = 0
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@ -931,7 +941,7 @@ class LOLLMSWebUI(LOLLMSElfServer):
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else:
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ai_prefix = ""
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# Build the final prompt by concatenating the conditionning and discussion messages
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prompt_data = conditionning + internet_search_rsults + documentation + knowledge + user_description + discussion_messages + positive_boost + negative_boost + force_language + fun_mode + ai_prefix
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prompt_data = conditionning + internet_search_results + documentation + knowledge + user_description + discussion_messages + positive_boost + negative_boost + force_language + fun_mode + ai_prefix
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# Tokenize the prompt data
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tokens = self.model.tokenize(prompt_data)
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@ -941,7 +951,7 @@ class LOLLMSWebUI(LOLLMSElfServer):
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ASCIIColors.bold("CONDITIONNING")
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ASCIIColors.yellow(conditionning)
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ASCIIColors.bold("INTERNET SEARCH")
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ASCIIColors.yellow(internet_search_rsults)
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ASCIIColors.yellow(internet_search_results)
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ASCIIColors.bold("DOC")
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ASCIIColors.yellow(documentation)
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ASCIIColors.bold("HISTORY")
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@ -958,8 +968,8 @@ class LOLLMSWebUI(LOLLMSElfServer):
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# Details
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context_details = {
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"conditionning":conditionning,
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"internet_search_sources":internet_search_sources,
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"internet_search_rsults":internet_search_rsults,
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"internet_search_infos":internet_search_infos,
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"internet_search_results":internet_search_results,
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"documentation":documentation,
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"knowledge":knowledge,
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"user_description":user_description,
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@ -973,7 +983,7 @@ class LOLLMSWebUI(LOLLMSElfServer):
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}
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# Return the prepared query, original message content, and tokenized query
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return prompt_data, current_message.content, tokens, context_details, internet_search_sources
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return prompt_data, current_message.content, tokens, context_details, internet_search_infos
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def get_discussion_to(self, client_id, message_id=-1):
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@ -1210,6 +1220,9 @@ class LOLLMSWebUI(LOLLMSElfServer):
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if self.nb_received_tokens==0:
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self.start_time = datetime.now()
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self.update_message(client_id, "✍ warming up ...", msg_type=MSG_TYPE.MSG_TYPE_STEP_END, parameters= {'status':True})
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self.update_message(client_id, "Generating ...", msg_type=MSG_TYPE.MSG_TYPE_STEP_START)
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dt =(datetime.now() - self.start_time).seconds
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if dt==0:
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dt=1
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@ -1378,7 +1391,7 @@ class LOLLMSWebUI(LOLLMSElfServer):
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self.update_message(client_id, "✍ warming up ...", msg_type=MSG_TYPE.MSG_TYPE_STEP_START)
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# prepare query and reception
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self.discussion_messages, self.current_message, tokens, context_details, internet_search_sources = self.prepare_query(client_id, message_id, is_continue, n_tokens=self.config.min_n_predict, generation_type=generation_type)
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self.discussion_messages, self.current_message, tokens, context_details, internet_search_infos = self.prepare_query(client_id, message_id, is_continue, n_tokens=self.config.min_n_predict, generation_type=generation_type)
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self.prepare_reception(client_id)
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self.generating = True
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self.connections[client_id]["processing"]=True
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@ -1459,22 +1472,23 @@ class LOLLMSWebUI(LOLLMSElfServer):
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from lollms.internet import get_favicon_url, get_root_url
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sources_text = '<div class="mt-4 flex flex-wrap items-center gap-x-2 gap-y-1.5 text-sm ">'
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sources_text += '<div class="text-gray-400 mr-10px">Sources:</div>'
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for source in internet_search_sources:
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url = "/".join(source.split("/")[:-1])
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for source in internet_search_infos:
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url = source["url"]
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favicon_url = get_favicon_url(url)
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if favicon_url is None:
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favicon_url ="/personalities/internet/loi/assets/logo.png"
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root_url = get_root_url(url)
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sources_text += "\n".join([
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f'<a class="flex items-center gap-2 whitespace-nowrap rounded-lg border bg-white px-2 py-1.5 leading-none hover:border-gray-300 dark:border-gray-800 dark:bg-gray-900 dark:hover:border-gray-700" target="_blank" href="{url}">',
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f'<img class="h-3.5 w-3.5 rounded" src="{favicon_url}">'
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f'<div>{root_url}</div>'
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f' <img class="h-3.5 w-3.5 rounded" src="{favicon_url}">',
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f' <div>{root_url}</div>',
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f'</a>',
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])
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sources_text += '</div>'
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self.connections[client_id]["generated_text"]=self.connections[client_id]["generated_text"].split("!@>")[0] + "\n" + sources_text
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self.personality.full(self.connections[client_id]["generated_text"])
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self.close_message(client_id)
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self.update_message(client_id, "Generating ...", msg_type=MSG_TYPE.MSG_TYPE_STEP_END)
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self.connections[client_id]["processing"]=False
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if self.connections[client_id]["schedule_for_deletion"]:
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@ -1 +1 @@
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Subproject commit b050a331440bd1c5e6daa9ed3607f41f52503335
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Subproject commit 7311d3acc18f4fdc2d79f74e1f4e3426ed6d9851
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web/dist/assets/index-5504ec28.css
vendored
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vendored
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web/dist/assets/index-822a6900.css
vendored
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web/dist/assets/index-822a6900.css
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web/dist/index.html
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4
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@ -6,8 +6,8 @@
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>LoLLMS WebUI - Welcome</title>
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<script type="module" crossorigin src="/assets/index-5a9814a4.js"></script>
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<link rel="stylesheet" href="/assets/index-5504ec28.css">
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<script type="module" crossorigin src="/assets/index-1e833b9c.js"></script>
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<link rel="stylesheet" href="/assets/index-822a6900.css">
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</head>
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<body>
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<div id="app"></div>
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@ -94,6 +94,11 @@
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@click="clear_files">
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<i data-feather="trash" class="w-5 h-5 "></i>
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</button>
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<button type="button" title="Clear all"
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class="flex items-center p-0.5 text-sm rounded-sm hover:text-red-600 active:scale-75"
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@click="download_database">
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<i data-feather="download-cloud" class="w-5 h-5 "></i>
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</button>
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</div>
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<div v-if="showPersonalities" class="mx-1">
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<MountedPersonalitiesList ref="mountedPersList"
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@ -655,6 +660,14 @@ export default {
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});
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},
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download_database(){
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axios.get('/download_database')
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},
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remove_file(file){
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axios.get('/remove_file',{name: file}).then(res=>{
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console.log(res)
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})
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},
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clear_files(){
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axios.get('/clear_personality_files_list').then(res=>{
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console.log(res)
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@ -662,6 +675,7 @@ export default {
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this.$store.state.toast.showToast("File removed successfully",4,true);
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this.filesList.length = 0;
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this.isFileSentList.length = 0;
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this.totalSize = 0;
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}
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else{
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this.$store.state.toast.showToast("Files couldn't be removed",4,false);
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@ -1,7 +1,5 @@
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<template>
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<div class="flex items-start">
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<div class="-ml-1.5 h-3 w-3 flex-none rounded-full bg-gray-200 dark:bg-gray-600 ">
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</div>
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<div class="step flex items-center mb-4">
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<div class="flex items-center justify-center w-6 h-6 mr-2">
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<div v-if="!done">
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@ -34,7 +32,7 @@
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fill="currentFill" />
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</svg>
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</div>
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<h3 class="text-md -mt-1.5 pl-2.5 text-gray-800 dark:text-gray-100" :class="{'text-green-500': done, 'text-yellow-500': !done}">{{ message }}</h3>
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<h3 class="text-sm" >{{ message }}</h3>
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</div>
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</div>
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</template>
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@ -1258,11 +1258,15 @@ export default {
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else if(messageItem && msgObj.message_type==this.msgTypes.MSG_TYPE_CHUNK){
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messageItem.content += msgObj.content
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} else if (msgObj.message_type == this.msgTypes.MSG_TYPE_STEP){
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console.log("received step")
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messageItem.status_message = msgObj.content
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messageItem.steps.push({"message":msgObj.content,"done":true, "status":true })
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} else if (msgObj.message_type == this.msgTypes.MSG_TYPE_STEP_START){
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console.log("received step start")
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messageItem.status_message = msgObj.content
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messageItem.steps.push({"message":msgObj.content,"done":false, "status":true })
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} else if (msgObj.message_type == this.msgTypes.MSG_TYPE_STEP_END) {
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console.log("received step end")
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// Find the step with the matching message and update its 'done' property to true
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const matchingStep = messageItem.steps.find(step => step.message === msgObj.content);
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@ -715,6 +715,40 @@
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</td>
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</tr>
|
||||
<tr>
|
||||
<td style="min-width: 200px;">
|
||||
<label for="internet_quick_search" class="text-sm font-bold" style="margin-right: 1rem;">Activate quick search:</label>
|
||||
</td>
|
||||
<td>
|
||||
<div class="flex flex-row">
|
||||
<input
|
||||
type="checkbox"
|
||||
id="internet_quick_search"
|
||||
required
|
||||
v-model="configFile.internet_quick_search"
|
||||
@change="settingsChanged=true"
|
||||
class="mt-1 px-2 py-1 border border-gray-300 rounded dark:bg-gray-600"
|
||||
>
|
||||
</div>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td style="min-width: 200px;">
|
||||
<label for="internet_activate_search_decision" class="text-sm font-bold" style="margin-right: 1rem;">Activate search decision:</label>
|
||||
</td>
|
||||
<td>
|
||||
<div class="flex flex-row">
|
||||
<input
|
||||
type="checkbox"
|
||||
id="internet_activate_search_decision"
|
||||
required
|
||||
v-model="configFile.internet_activate_search_decision"
|
||||
@change="settingsChanged=true"
|
||||
class="mt-1 px-2 py-1 border border-gray-300 rounded dark:bg-gray-600"
|
||||
>
|
||||
</div>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td style="min-width: 200px;">
|
||||
<label for="internet_vectorization_chunk_size" class="text-sm font-bold" style="margin-right: 1rem;">Internet vectorization chunk size:</label>
|
||||
</td>
|
||||
@ -741,7 +775,7 @@
|
||||
<div class="flex flex-col">
|
||||
<input id="internet_vectorization_overlap_size" v-model="configFile.internet_vectorization_overlap_size"
|
||||
@change="settingsChanged=true"
|
||||
type="range" min="0" max="64000" step="1"
|
||||
type="range" min="0" max="1000" step="1"
|
||||
class="flex-none h-2 mt-14 mb-2 w-full bg-gray-200 rounded-lg appearance-none cursor-pointer dark:bg-gray-700 focus:ring-blue-500 focus:border-blue-500 dark:border-gray-600 dark:placeholder-gray-400 dark:focus:ring-blue-500 dark:focus:border-blue-500">
|
||||
|
||||
<input v-model="configFile.internet_vectorization_overlap_size"
|
||||
@ -760,7 +794,7 @@
|
||||
<div class="flex flex-col">
|
||||
<input id="internet_vectorization_nb_chunks" v-model="configFile.internet_vectorization_nb_chunks"
|
||||
@change="settingsChanged=true"
|
||||
type="range" min="0" max="64000" step="1"
|
||||
type="range" min="0" max="100" step="1"
|
||||
class="flex-none h-2 mt-14 mb-2 w-full bg-gray-200 rounded-lg appearance-none cursor-pointer dark:bg-gray-700 focus:ring-blue-500 focus:border-blue-500 dark:border-gray-600 dark:placeholder-gray-400 dark:focus:ring-blue-500 dark:focus:border-blue-500">
|
||||
|
||||
<input v-model="configFile.internet_vectorization_nb_chunks"
|
||||
@ -779,7 +813,7 @@
|
||||
<div class="flex flex-col">
|
||||
<input id="internet_nb_search_pages" v-model="configFile.internet_nb_search_pages"
|
||||
@change="settingsChanged=true"
|
||||
type="range" min="0" max="64000" step="1"
|
||||
type="range" min="1" max="100" step="1"
|
||||
class="flex-none h-2 mt-14 mb-2 w-full bg-gray-200 rounded-lg appearance-none cursor-pointer dark:bg-gray-700 focus:ring-blue-500 focus:border-blue-500 dark:border-gray-600 dark:placeholder-gray-400 dark:focus:ring-blue-500 dark:focus:border-blue-500">
|
||||
|
||||
<input v-model="configFile.internet_nb_search_pages"
|
||||
|
||||
@ -1 +1 @@
|
||||
Subproject commit 70851b43376a8a6cb1270bf076b969a877f678d4
|
||||
Subproject commit cd9661448f09f70f59c73bf513dd7052f1e147fc
|
||||
Loading…
x
Reference in New Issue
Block a user