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| import gradio as gr | |
| from llama_index.core import VectorStoreIndex,StorageContext | |
| from llama_index.core.memory import ChatMemoryBuffer | |
| import re | |
| from llama_index.core import get_response_synthesizer | |
| from llama_index.core.query_engine import RetrieverQueryEngine | |
| # Retrievers | |
| from llama_index.core.retrievers import ( | |
| VectorIndexRetriever, | |
| ) | |
| from llama_index.core.chat_engine import ContextChatEngine | |
| from llama_index.core.memory import ChatMemoryBuffer | |
| from pinecone import Pinecone | |
| from llama_index.vector_stores.pinecone import PineconeVectorStore | |
| import time | |
| from utils import * | |
| import spaces | |
| import threading | |
| import sys | |
| import torch | |
| from llama_index.core.vector_stores import ( | |
| MetadataFilter, | |
| MetadataFilters, | |
| FilterOperator, | |
| FilterCondition, | |
| ) | |
| head = """ | |
| <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.3/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-QWTKZyjpPEjISv5WaRU9OFeRpok6YctnYmDr5pNlyT2bRjXh0JMhjY6hW+ALEwIH" crossorigin="anonymous"> | |
| <script> | |
| // JavaScript function to toggle text visibility | |
| function toggleText(id){ | |
| console.log(id) | |
| if(id=="span1"){ | |
| nodo_id = "nodo1" | |
| }else if(id=="span2"){ | |
| nodo_id = "nodo2" | |
| }else if(id=="span3"){ | |
| nodo_id = "nodo3" | |
| }else{ | |
| nodo_id = "nodo4" | |
| } | |
| var text = document.getElementById(nodo_id); | |
| if (text.style.display === "none") { | |
| text.style.display = "block"; | |
| } else { | |
| text.style.display = "none"; | |
| } | |
| } | |
| </script> | |
| """ | |
| css = """ | |
| #chatbot { | |
| margin-top: 1%; | |
| width: 75%; | |
| position:relative; | |
| height:70%; | |
| } | |
| #textBox{ | |
| width: 75%; | |
| position:relative; | |
| } | |
| .wrapper.svelte-nab2ao p{ | |
| font-size: 14px; | |
| } | |
| #btnClear{ | |
| width: 75%; | |
| } | |
| #buttonChat{ | |
| width:50%; | |
| position: relative; | |
| } | |
| #colonnaElementi{ | |
| position: absolute; | |
| left: 77%; | |
| top: 10%; | |
| bottom: 10%; /* Adjust this value as necessary */ | |
| width: 10%; | |
| height: auto; /* Let the height be determined by the top and bottom properties */ | |
| max-height: 80%; /* Ensure it does not exceed 80% of the parent container's height */ | |
| overflow-y: auto; /* Allow scrolling if content overflows vertically */ | |
| overflow-x: hidden; /* Hide horizontal overflow */ | |
| word-wrap: break-word; /* Ensure words break to fit within the width */ | |
| box-sizing: border-box; /* Include padding and border in the element's total width and height */ | |
| } | |
| #responseMode{ | |
| width: 5%; | |
| } | |
| .message.user.svelte-gutj6d.message-bubble-border{ | |
| padding: 5px; | |
| } | |
| .message.bot.svelte-gutj6d.message-bubble-border{ | |
| padding: 5px; | |
| } | |
| .icon { | |
| cursor: pointer; | |
| } | |
| /* Style for the hidden text */ | |
| .hidden-text { | |
| display: none; | |
| } | |
| .wrap svelte-1sk0pyu{ | |
| width: 12% | |
| } | |
| """ | |
| user_message="" | |
| current_chat_mode="" | |
| current_response_mode="tree_summarize" | |
| current_collection="BANDI_SISTEMA_PUGLIA" | |
| file_path="" | |
| num_responses=0 | |
| current_chat_mode="STANDARD" | |
| retriever=None | |
| index = None | |
| token_count_bandi=0 | |
| token_count_bandi_sistema_puglia=0 | |
| chat_engine_bandi=None | |
| chat_engine_bandi_sistema_puglia=None | |
| memory_bandi=None | |
| memory_bandi_sistema_puglia=None | |
| stream_response=None | |
| divDocumenti=None | |
| llm = None | |
| def main(): | |
| global llm | |
| setGPU() | |
| llm = setLLM() | |
| Settings.llm = llm | |
| Settings.embed_model = "local:google-bert/bert-base-multilingual-cased" | |
| embed_model = Settings.embed_model | |
| text_qa_template, refine_template = setPromptTemplate() | |
| def select_initial_collection(): | |
| global current_collection | |
| global retriever | |
| global index | |
| pc = Pinecone(api_key="7e412663-a2dc-44a6-ab57-25dd0bdce226") | |
| # connect to index | |
| pinecone_index = pc.Index("indexbandisistemapuglia") | |
| vector_store = PineconeVectorStore( | |
| pinecone_index=pinecone_index, | |
| add_sparse_vector=True, | |
| ) | |
| storage_context = StorageContext.from_defaults(vector_store=vector_store) | |
| index = VectorStoreIndex.from_vector_store( | |
| vector_store, storage_context=storage_context | |
| ) | |
| retriever = VectorIndexRetriever(index=index, similarity_top_k=3, vector_store_query_mode="hybrid", embed_model=embed_model, alpha=0.5) | |
| current_collection = "BANDI_SISTEMA_PUGLIA" | |
| return "collezione settata" | |
| select_initial_collection() | |
| def select_collection(evt: gr.SelectData): | |
| global current_collection | |
| global retriever | |
| global index | |
| global chat_engine_bandi | |
| global chat_engine_bandi_sistema_puglia | |
| global token_count_bandi | |
| global token_count_bandi_sistema_puglia | |
| global memory_bandi | |
| global memory_bandi_sistema_puglia | |
| selected_collection = evt.value | |
| if(selected_collection != current_collection): | |
| if(selected_collection == "BANDI_SISTEMA_PUGLIA"): | |
| chat_engine_bandi.reset() | |
| chat_engine_bandi_sistema_puglia.reset() | |
| memory_bandi_sistema_puglia.reset() | |
| memory_bandi.reset() | |
| token_count_bandi = 0 | |
| token_count_bandi_sistema_puglia = 0 | |
| pc = Pinecone(api_key="7e412663-a2dc-44a6-ab57-25dd0bdce226") | |
| # connect to index | |
| pinecone_index = pc.Index("indexbandisistemapuglia") | |
| vector_store = PineconeVectorStore( | |
| pinecone_index=pinecone_index, | |
| add_sparse_vector=True, | |
| ) | |
| storage_context = StorageContext.from_defaults(vector_store=vector_store) | |
| # load your index from stored vectors | |
| index = VectorStoreIndex.from_vector_store( | |
| vector_store, storage_context=storage_context | |
| ) | |
| retriever = VectorIndexRetriever(index=index, similarity_top_k=3, vector_store_query_mode="hybrid", embed_model=embed_model, alpha=0.5) | |
| else: | |
| chat_engine_bandi.reset() | |
| chat_engine_bandi_sistema_puglia.reset() | |
| memory_bandi_sistema_puglia.reset() | |
| memory_bandi.reset() | |
| token_count_bandi = 0 | |
| token_count_bandi_sistema_puglia = 0 | |
| pc = Pinecone(api_key="7e412663-a2dc-44a6-ab57-25dd0bdce226") | |
| # connect to index | |
| pinecone_index = pc.Index("indexbandi") | |
| vector_store = PineconeVectorStore( | |
| pinecone_index=pinecone_index, | |
| add_sparse_vector=True, | |
| ) | |
| storage_context = StorageContext.from_defaults(vector_store=vector_store) | |
| # load your index from stored vectors | |
| index = VectorStoreIndex.from_vector_store( | |
| vector_store, storage_context=storage_context | |
| ) | |
| retriever = VectorIndexRetriever(index=index, similarity_top_k=3, vector_store_query_mode="hybrid", embed_model=embed_model, alpha=0.4) | |
| current_collection = selected_collection | |
| return "<div class='alert alert-success' role='alert'> Collezione "+selected_collection+" selezionata </div>" | |
| def select_response_mode(evt: gr.SelectData): | |
| global current_response_mode | |
| current_response_mode = evt.value | |
| return "<div class='alert alert-success' role='alert'>"+current_response_mode+" selezionato </div>" | |
| def select_chat_mode(): | |
| global current_chat_mode | |
| global memory_bandi | |
| global memory_bandi_sistema_puglia | |
| global chat_engine_bandi | |
| global chat_engine_bandi_sistema_puglia | |
| global token_count_bandi | |
| global token_count_bandi_sistema_puglia | |
| memory_bandi_sistema_puglia.reset() | |
| memory_bandi.reset() | |
| chat_engine_bandi.reset() | |
| chat_engine_bandi_sistema_puglia.reset() | |
| token_count_bandi = 0 | |
| token_count_bandi_sistema_puglia = 0 | |
| current_chat_mode = "CHAT" | |
| return "<div class='alert alert-success' role='alert'>Hai selezionato la modalità "+current_chat_mode+" </div>" | |
| def select_standard_mode(): | |
| global current_chat_mode | |
| current_chat_mode = "STANDARD" | |
| return "<div class='alert alert-success' role='alert'>Hai selezionato la modalità "+current_chat_mode+" </div>" | |
| def set_chat_engine(): | |
| global chat_engine_bandi | |
| global chat_engine_bandi_sistema_puglia | |
| global memory_bandi | |
| global memory_bandi_sistema_puglia | |
| global token_count_bandi_sistema_puglia | |
| global token_count_bandi | |
| memory_bandi = ChatMemoryBuffer.from_defaults(token_limit=5000) | |
| memory_bandi_sistema_puglia = ChatMemoryBuffer.from_defaults(token_limit=3000) | |
| pc = Pinecone(api_key="7e412663-a2dc-44a6-ab57-25dd0bdce226") | |
| pinecone_index = pc.Index("indexbandi") | |
| vector_store = PineconeVectorStore( | |
| pinecone_index=pinecone_index, | |
| add_sparse_vector=True, | |
| ) | |
| storage_context = StorageContext.from_defaults(vector_store=vector_store) | |
| index = VectorStoreIndex.from_vector_store( | |
| vector_store, storage_context=storage_context | |
| ) | |
| retriever_bandi = VectorIndexRetriever(index=index, similarity_top_k=3, vector_store_query_mode="hybrid", embed_model=embed_model, alpha=0.4) | |
| chat_engine_bandi = ContextChatEngine(retriever=retriever_bandi, | |
| context_template="Sei un chatbot in grado di rispondere alle domande su bandi regionali e avvisi della regione Puglia. Hai accesso ai bandi della regione Puglia. Qui sotto le informazioni di contesto recuperate. \n" | |
| "---------------------\n" | |
| "Informazioni di contesto: "+"{context_str}\n" | |
| "---------------------\n" | |
| "Usa le informazioni di contesto sopra fornite e non la tua conoscenza pregressa per rispondere, l'unica regione che conosci è la regione Puglia. " | |
| "rispondi sempre alla seguente query sul bando regionale della Puglia usando le informazioni di contesto." | |
| "\n", llm=llm, memory=memory_bandi, prefix_messages=[]) | |
| pinecone_index = pc.Index("indexbandisistemapuglia") | |
| vector_store = PineconeVectorStore( | |
| pinecone_index=pinecone_index, | |
| add_sparse_vector=True, | |
| ) | |
| storage_context = StorageContext.from_defaults(vector_store=vector_store) | |
| index = VectorStoreIndex.from_vector_store( | |
| vector_store, storage_context=storage_context | |
| ) | |
| retriever_bandi_sistema_puglia = VectorIndexRetriever(index=index, similarity_top_k=3, vector_store_query_mode="hybrid", embed_model=embed_model, alpha=0.5) | |
| chat_engine_bandi_sistema_puglia = ContextChatEngine(retriever=retriever_bandi_sistema_puglia, | |
| context_template="Sei un chatbot in grado di rispondere alle domande su bandi regionali e avvisi della regione Puglia. Hai accesso ai bandi della regione Puglia. Qui sotto le informazioni di contesto recuperate. \n" | |
| "---------------------\n" | |
| "Informazioni di contesto: "+"{context_str}\n" | |
| "---------------------\n" | |
| "Usa le informazioni di contesto sopra fornite e non la tua conoscenza pregressa per rispondere, l'unica regione che conosci è la regione Puglia. " | |
| "rispondi sempre alla seguente query sul bando regionale della Puglia usando le informazioni di contesto." | |
| "\n", llm=llm, memory=memory_bandi_sistema_puglia, prefix_messages=[]) | |
| def html_escape(text): | |
| html_entities = { | |
| 'à': 'à', | |
| 'è': 'è', | |
| 'é': 'é', | |
| 'ì': 'ì', | |
| 'ò': 'ò', | |
| 'ù': 'ù', | |
| 'À': 'À', | |
| 'È': 'È', | |
| 'É': 'É', | |
| 'Ì': 'Ì', | |
| 'Ò': 'Ò', | |
| 'Ù': 'Ù', | |
| 'ç': 'ç', | |
| 'Ç': 'Ç', | |
| 'ä': 'ä', | |
| 'ö': 'ö', | |
| 'ü': 'ü', | |
| 'Ä': 'Ä', | |
| 'Ö': 'Ö', | |
| 'Ü': 'Ü', | |
| 'ß': 'ß', | |
| 'ñ': 'ñ', | |
| 'Ñ': 'Ñ', | |
| 'œ': 'œ', | |
| 'Œ': 'Œ', | |
| 'æ': 'æ', | |
| 'Æ': 'Æ', | |
| 'ø': 'ø', | |
| 'Ø': 'Ø', | |
| 'å': 'å', | |
| 'Å': 'Å', | |
| '&': '&', | |
| '<': '<', | |
| '>': '>', | |
| '"': '"', | |
| "'": ''' | |
| } | |
| return ''.join(html_entities.get(c, c) for c in text) | |
| def reset(): | |
| global chat_engine_bandi | |
| global chat_engine_bandi_sistema_puglia | |
| global memory_bandi | |
| global memory_bandi_sistema_puglia | |
| global token_count_bandi | |
| global token_count_bandi_sistema_puglia | |
| chat_engine_bandi.reset() | |
| chat_engine_bandi_sistema_puglia.reset() | |
| memory_bandi_sistema_puglia.reset() | |
| memory_bandi.reset() | |
| token_count_bandi = 0 | |
| token_count_bandi_sistema_puglia = 0 | |
| return "<div class='alert alert-success' role='alert'>Cronologia chat eliminata</div>" | |
| set_chat_engine() | |
| with gr.Blocks(css=css, head=head) as demo: | |
| with gr.Row(): | |
| output = gr.HTML() | |
| with gr.Row(elem_id="buttonChat"): | |
| gr.Button("STANDARD", size="sm").click(fn=select_standard_mode, outputs=output) | |
| gr.Button("CHAT",size="sm").click(fn=select_chat_mode, outputs=output) | |
| gr.Dropdown( | |
| ["BANDI_SISTEMA_PUGLIA","BANDI"], min_width= 185, label="Collezione di documenti", info="", container=False, interactive=True, value="BANDI_SISTEMA_PUGLIA", elem_id="dropdown" | |
| ).select(fn=select_collection, outputs=output) | |
| chatbot = gr.Chatbot(elem_id="chatbot", container=False) | |
| with gr.Column(elem_id="colonnaElementi"): | |
| gr.Radio(["compact","tree_summarize"], label="Response mode", info="Influenzerà il modo in cui il chatbot risponde", interactive=True,container=False, value="tree_summarize",elem_id="responseMode").select(fn=select_response_mode, outputs=output), | |
| divDocumenti = gr.HTML("<div id='divDocumenti'></div>") | |
| msg = gr.Textbox(elem_id="textBox", container=False) | |
| clear = gr.ClearButton([msg, chatbot], elem_id="btnClear") | |
| clear.click(fn=reset, outputs=output) | |
| def user(userMessage, history): | |
| global user_message | |
| user_message = userMessage | |
| if history is None: | |
| history = [] | |
| return "", history + [[user_message, None]] | |
| def bot(history): | |
| lenght = len(history) | |
| userMessage = history[lenght-1][0] | |
| global chat_engine_bandi | |
| global chat_engine_bandi_sistema_puglia | |
| global memory_bandi | |
| global memory_bandi_sistema_puglia | |
| global current_response_mode | |
| global current_collection | |
| global retriever | |
| global file_path | |
| global current_chat_mode | |
| global token_count_bandi | |
| global token_count_bandi_sistema_puglia | |
| if(current_chat_mode=="CHAT"): | |
| print("MODALITA CHAT") | |
| if(current_collection=="BANDI"): | |
| if(token_count_bandi >= 1000): | |
| print("RESET!!!") | |
| token_count_bandi = 0 | |
| memory_bandi.reset() | |
| chat_engine_bandi.reset() | |
| print(chat_engine_bandi.chat_history) | |
| print(memory_bandi) | |
| stream_response = None | |
| print(userMessage) | |
| stream_response = chat_engine_bandi.stream_chat(userMessage) | |
| print("risposta con chat engine") | |
| responseHTML = "" | |
| for i, node in enumerate(stream_response.source_nodes): | |
| responseHTML += "<p><b>"+node.metadata['nome_bando']+"</b><a href='"+node.metadata['file_path']+"' download> <svg xmlns='http://www.w3.org/2000/svg' width='16' height='16' fill='currentColor' class='bi bi-download' viewBox='0 0 16 16'><path d='M.5 9.9a.5.5 0 0 1 .5.5v2.5a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-2.5a.5.5 0 0 1 1 0v2.5a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2v-2.5a.5.5 0 0 1 .5-.5'/><path d='M7.646 11.854a.5.5 0 0 0 .708 0l3-3a.5.5 0 0 0-.708-.708L8.5 10.293V1.5a.5.5 0 0 0-1 0v8.793L5.354 8.146a.5.5 0 1 0-.708.708z'/> </svg></a><br>Nodo <span id='span"+str(i+1)+"' class='icon' onclick='toggleText(this.id)'>🔍</span> <!-- Text to show/hide --><p class='hidden-text' id='nodo"+str(i+1)+"'>"+node.text+"</p>" | |
| history[-1][1] = "" | |
| for character in stream_response.response_gen: | |
| tokens = character.split(" ") | |
| num_tokens = len(tokens) | |
| token_count_bandi = token_count_bandi + num_tokens | |
| print(token_count_bandi) | |
| history[-1][1] += html_escape(str(character)) | |
| time.sleep(0.05) | |
| yield history, responseHTML | |
| else: | |
| if(token_count_bandi_sistema_puglia >= 1000): | |
| print("RESET!!!") | |
| token_count_bandi_sistema_puglia = 0 | |
| memory_bandi_sistema_puglia.reset() | |
| chat_engine_bandi_sistema_puglia.reset() | |
| print(chat_engine_bandi_sistema_puglia.chat_history) | |
| print(memory_bandi_sistema_puglia) | |
| stream_response = None | |
| print(userMessage) | |
| stream_response = chat_engine_bandi_sistema_puglia.stream_chat(userMessage) | |
| print("risposta con chat engine") | |
| responseHTML = "" | |
| for i, node in enumerate(stream_response.source_nodes): | |
| responseHTML += "<p><b>"+node.metadata['nome_bando']+"</b><a href='"+node.metadata['file_path']+"' download> <svg xmlns='http://www.w3.org/2000/svg' width='16' height='16' fill='currentColor' class='bi bi-download' viewBox='0 0 16 16'><path d='M.5 9.9a.5.5 0 0 1 .5.5v2.5a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-2.5a.5.5 0 0 1 1 0v2.5a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2v-2.5a.5.5 0 0 1 .5-.5'/><path d='M7.646 11.854a.5.5 0 0 0 .708 0l3-3a.5.5 0 0 0-.708-.708L8.5 10.293V1.5a.5.5 0 0 0-1 0v8.793L5.354 8.146a.5.5 0 1 0-.708.708z'/> </svg></a><br>Nodo <span id='span"+str(i+1)+"' class='icon' onclick='toggleText(this.id)'>🔍</span> <!-- Text to show/hide --><p class='hidden-text' id='nodo"+str(i+1)+"'>"+node.text+"</p>" | |
| history[-1][1] = "" | |
| for character in stream_response.response_gen: | |
| tokens = character.split(" ") | |
| num_tokens = len(tokens) | |
| token_count_bandi_sistema_puglia = token_count_bandi_sistema_puglia + num_tokens | |
| print(token_count_bandi_sistema_puglia) | |
| history[-1][1] += html_escape(str(character)) | |
| time.sleep(0.05) | |
| yield history,responseHTML | |
| else: | |
| print("MODALITA STANDARD") | |
| if(str(current_response_mode)=="tree_summarize"): | |
| nome_bando = "" | |
| userMessage = userMessage.lower() | |
| if("diploma professionale" in userMessage): | |
| nome_bando += "Scheda Avviso Pubblico Diploma Professionale 2022.pdf," | |
| if("red" in userMessage): | |
| nome_bando += "Scheda RED 2020.pdf," | |
| if("ifts" in userMessage): | |
| nome_bando += "Scheda Avviso Pubblico IFTS_2023.pdf," | |
| if(("impianti" in userMessage) or ("idrogeno" in userMessage)): | |
| nome_bando += "Scheda Avviso PNRR - Impianti idrogeno rinnovabile.pdf," | |
| if("laureati" in userMessage): | |
| nome_bando += "Scheda Pass Laureati 2023.pdf," | |
| if("nidi" in userMessage): | |
| nome_bando += "Scheda NIDI - Nuove iniziative d'impresa_ Strumento di ingegneria finanziaria.pdf," | |
| if("microprestito" in userMessage): | |
| nome_bando += "Scheda MicroPrestito della Regione Puglia - edizione 2021.pdf," | |
| if("gol" in userMessage): | |
| nome_bando += "Scheda Garanzia di occupabilità dei lavoratori - GOL.pdf," | |
| if("edifici pubblici" in userMessage): | |
| nome_bando += "Scheda Efficientamento Energetico Edifici Pubblici.pdf," | |
| if("innoaid" in userMessage): | |
| nome_bando += "Scheda di sintesi Avviso _INNOAID - RIAPERTURA_.pdf," | |
| if("tecnonidi" in userMessage): | |
| nome_bando += "Scheda Avviso Tecnonidi - Aiuti alle piccole imprese innovative.pdf," | |
| if("of" in userMessage): | |
| nome_bando += "Scheda Avviso Pubblico OF a_f_ 2023_2024.pdf," | |
| if("giardiniere" in userMessage): | |
| nome_bando += "Scheda Avviso Pubblico _Giardiniere d'arte per giardini e parchi storici_.pdf," | |
| if("punti cardinali" in userMessage): | |
| nome_bando += "Scheda Avviso _Punti Cardinali_ punti di orientamento per la formazione e il lavoro.pdf," | |
| if("accreditamento servizi" in userMessage): | |
| nome_bando += "Scheda Accreditamento Servizi per il Lavoro.pdf," | |
| if("accreditamento organismi" in userMessage): | |
| nome_bando += "Scheda Accreditamento Organismi Formativi.pdf," | |
| if("multimisura POC" in userMessage): | |
| nome_bando += "Avviso Multimisura POC.pdf," | |
| if("garanzia giovani" in userMessage): | |
| nome_bando += "Avviso Multimisura - Garanzia Giovani II Fase.pdf," | |
| if("apprendistato professionalizzante" in userMessage): | |
| nome_bando += "Apprendistato Professionalizzante.pdf," | |
| # Rimuovi l'ultima virgola | |
| if nome_bando.endswith(","): | |
| nome_bando = nome_bando[:-1] | |
| # Crea una lista di bandi separati dalla virgola | |
| lista_bandi = nome_bando.split(",") | |
| # Crea una lista di oggetti MetadataFilter | |
| filter_list = [] | |
| for bando in lista_bandi: | |
| filter_list.append(MetadataFilter(key="nome_bando", value=bando)) | |
| #crea una lista di MetadataFilter | |
| filters = MetadataFilters( | |
| filters=filter_list, | |
| condition=FilterCondition.OR, | |
| ) | |
| retriever = VectorIndexRetriever(index=index, similarity_top_k=3, vector_store_query_mode="hybrid", embed_model=embed_model, alpha=0.5, filters=filters) | |
| # define response synthesizer | |
| response_synthesizer = get_response_synthesizer(streaming=True,response_mode="tree_summarize",text_qa_template=text_qa_template) | |
| query_engine = None | |
| query_engine = RetrieverQueryEngine(retriever=retriever, response_synthesizer=response_synthesizer) | |
| stream_response = None | |
| print(userMessage) | |
| stream_response = query_engine.query(userMessage) | |
| print("risposta con query engine") | |
| responseHTML = "" | |
| for i, node in enumerate(stream_response.source_nodes): | |
| responseHTML += "<p><b>"+node.metadata['nome_bando']+"</b><a href='"+node.metadata['file_path']+"' download> <svg xmlns='http://www.w3.org/2000/svg' width='16' height='16' fill='currentColor' class='bi bi-download' viewBox='0 0 16 16'><path d='M.5 9.9a.5.5 0 0 1 .5.5v2.5a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-2.5a.5.5 0 0 1 1 0v2.5a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2v-2.5a.5.5 0 0 1 .5-.5'/><path d='M7.646 11.854a.5.5 0 0 0 .708 0l3-3a.5.5 0 0 0-.708-.708L8.5 10.293V1.5a.5.5 0 0 0-1 0v8.793L5.354 8.146a.5.5 0 1 0-.708.708z'/> </svg></a><br>Nodo <span id='span"+str(i+1)+"' class='icon' onclick='toggleText(this.id)'>🔍</span> <!-- Text to show/hide --><p class='hidden-text' id='nodo"+str(i+1)+"'>"+node.text+"</p>" | |
| history[-1][1] = "" | |
| for character in stream_response.response_gen: | |
| history[-1][1] += html_escape(str(character)) | |
| time.sleep(0.05) | |
| yield history, responseHTML | |
| else: | |
| # define response synthesizer | |
| response_synthesizer = get_response_synthesizer(streaming=True,response_mode="compact",text_qa_template=text_qa_template, refine_template=refine_template) | |
| query_engine = None | |
| query_engine = RetrieverQueryEngine(retriever=retriever, response_synthesizer=response_synthesizer) | |
| stream_response = None | |
| print(userMessage) | |
| stream_response = query_engine.query(userMessage) | |
| print("risposta con query engine") | |
| responseHTML = "" | |
| for i, node in enumerate(stream_response.source_nodes): | |
| responseHTML += "<p><b>"+node.metadata['nome_bando']+"</b><a href='"+node.metadata['file_path']+"' download> <svg xmlns='http://www.w3.org/2000/svg' width='16' height='16' fill='currentColor' class='bi bi-download' viewBox='0 0 16 16'><path d='M.5 9.9a.5.5 0 0 1 .5.5v2.5a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1v-2.5a.5.5 0 0 1 1 0v2.5a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2v-2.5a.5.5 0 0 1 .5-.5'/><path d='M7.646 11.854a.5.5 0 0 0 .708 0l3-3a.5.5 0 0 0-.708-.708L8.5 10.293V1.5a.5.5 0 0 0-1 0v8.793L5.354 8.146a.5.5 0 1 0-.708.708z'/> </svg></a><br>Nodo <span id='span"+str(i+1)+"' class='icon' onclick='toggleText(this.id)'>🔍</span> <!-- Text to show/hide --><p class='hidden-text' id='nodo"+str(i+1)+"'>"+node.text+"</p>" | |
| history[-1][1] = "" | |
| for character in stream_response.response_gen: | |
| history[-1][1] += html_escape(str(character)) | |
| time.sleep(0.05) | |
| yield history, responseHTML | |
| torch.cuda.empty_cache() | |
| torch.cuda.reset_max_memory_allocated() | |
| torch.cuda.reset_max_memory_cached() | |
| msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then( | |
| bot, chatbot, [chatbot, divDocumenti] | |
| ) | |
| demo.queue() | |
| demo.launch(debug=True, share=True) | |
| if __name__ == "__main__": | |
| main() |