Upload localKB_construct.py

localKB_construct.py

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+'''
+1.更新了llama-index的库。对应的函数名和用法都有所改变。
+'''
+
+# import gradio as gr
+import openai
+import requests
+import csv
+from llama_index import PromptHelper
+# from llama_index import GPTSimpleVectorIndex ## renamed in the latest version. 
+from llama_index import LLMPredictor
+from llama_index import ServiceContext
+from langchain.chat_models import ChatOpenAI
+from langchain import OpenAI
+from fastapi import FastAPI #* 实现流式数据
+from fastapi.responses import StreamingResponse #* 实现流式数据
+import sys
+import os
+import torch
+import math
+import pandas as pd
+import numpy as np
+import PyPDF2
+# from llama_index import SimpleDirectoryReader, GPTListIndex, readers, GPTSimpleVectorIndex, LLMPredictor, PromptHelper #* working in the previous version. 
+
+##* in the latest version: GPTSimpleVectorIndex was renamed to GPTVectorStoreIndex, try removing it from the end of your imports
+from llama_index import SimpleDirectoryReader, GPTListIndex, readers, GPTVectorStoreIndex, LLMPredictor, PromptHelper
+from llama_index import StorageContext, load_index_from_storage
+from llama_index import ServiceContext
+from llama_index import download_loader
+from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
+import sys
+import os
+from rich import print
+
+## enironment settings. 
+os.environ["OPENAI_API_KEY"] = "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"
+openai.api_key = "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"
+# file_path = "/Users/yunshi/Downloads/txt_dir/Sparks_of_AGI.pdf"
+# file_path = "/Users/yunshi/Downloads/txt_dir/2023年百人会电动论坛 纪要 20230401.pdf"
+
+## 建立index或者的过程。
+def construct_index(directory_path):
+    # file_path = f"{directory_path}/uploaded_file.pdf"
+
+    file_path = directory_path
+
+    # set maximum input si771006
+    # max_input_size = 4096 #* working
+    max_input_size = 4096
+    # set number of output tokens
+    # num_outputs = 3000 #* working
+    num_outputs = 1000
+    # set maximum chunk overlap
+    max_chunk_overlap = -1000 #* working
+    # set chunk size limit
+    # chunk_size_limit = 600
+    chunk_size_limit = 6000 #* working
+
+    # ## add chunk_overlap_ratio according to github.
+    # chunk_overlap_ratio= 0.1
+
+
+    # define LLM
+    # llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.5, model_name="gpt-3.5-turbo", max_tokens=2000))
+    llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0.7, model_name="gpt-3.5-turbo-16k", max_tokens=512,streaming=True))
+    
+    ## 好像work了，2023.09.22, 注意这里的写法有调整。
+    # prompt_helper = PromptHelper(max_input_s≈ize, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
+    prompt_helper = PromptHelper(max_input_size, num_outputs, chunk_overlap_ratio= 0.1, chunk_size_limit=chunk_size_limit)
+    service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper)
+
+    ## 如果是txt文件，那么需要用如下命令。注意与PDF文件的区别。
+    # documents = SimpleDirectoryReader(directory_path).load_data() 
+    
+    ## 如果是PDF文件，那么需要用如下命令。注意与txt文件的区别。切需要from llama_index import download_loader。 
+    #NOTE: 这里可以问：give me an example of GPT-4 solving math problem. 会回答关于这个PDF中的内容，所以可以确认这个程序调用了in-context learning的功能。
+    CJKPDFReader = download_loader("CJKPDFReader")
+    loader = CJKPDFReader()
+    # documents = loader.load_data(file=directory_path) #! 注意这里是指向文件本身，而不同于txt文件的指文件夹。
+    documents = loader.load_data(file=directory_path) #! 注意这里是指向文件本身，而不同于txt文件的指文件夹。
+    # index = GPTSimpleVectorIndex(
+    #     documents, llm_predictor=llm_predictor, prompt_helper=prompt_helper
+    # )
+
+    # index = GPTSimpleVectorIndex.from_documents(documents, service_context=service_context) ## oringinal version, working. 
+    index = GPTVectorStoreIndex.from_documents(documents, service_context=service_context) #* the funciton renamed. 
+    # index.save_to_disk('/Users/yunshi/Downloads/txt_dir/index.json') ## in the latest version, this function is not working.
+
+    return index, service_context
+
+def process_file():
+    print('process_file starts')
+    file_path = "/Users/yunshi/Downloads/txt_dir/Sparks_of_AGI.pdf"
+    #! 第一次运行是需要开启这个function。如果测试通过index，因此不需要在运行了。记得上传PDF和JSON文件到云服务器上。
+    index, service_context = construct_index(file_path)
+    # index.storage_context.persist(persist_dir="/Users/yunshi/Downloads/txt_dir/") #* 存储到本地，为以后调用。
+    index.storage_context.persist(persist_dir=f"./") #* 存储到本地，为以后调用。
+    print(index)
+
+process_file()