code: import openai
  import langchain as lc
  from langchain.llms import OpenAI
  import gradio as gr
  
  # 设置OpenAI API密钥
  openai.api_key = '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'
  
  # 初始化Langchain的OpenAI LLM
  llm = OpenAI(api_key=openai.api_key)
  
  
  # 定义一个函数来处理上传的文档并生成响应
  def process_document(document):
      # 这里可以添加代码来处理文档，例如提取文本、向量化等
      text = document.read()
  
      # 使用GPT-3.5生成响应
      response = llm.generate(text)
  
      return response
  
  
  # 创建Gradio界面
  iface = gr.Interface(
      fn=process_document,
      inputs=gr.inputs.File(label="上传文档"),
      outputs="text",
      title="基于GPT-3.5和Langchain的知识库",
      description="上传文档以获取GPT-3.5生成的响应"
  )
  
  # 运行Gradio应用
  iface.launch()
  
apis: langchain.llms.OpenAI
extract_api: [((213, 243), 'langchain.llms.OpenAI', 'OpenAI', ([], {'api_key': 'openai.api_key'}), '(api_key=openai.api_key)\n', (219, 243), False, 'from langchain.llms import OpenAI\n'), ((508, 536), 'gradio.inputs.File', 'gr.inputs.File', ([], {'label': '"""上传文档"""'}), "(label='上传文档')\n", (522, 536), True, 'import gradio as gr\n')]