ValueError: 当不存在一个输入键时不支持 `run`，得到 ['question', 'documents']

尝试运行 langchain 代码时出现错误。

ValueError: `run` not supported when there is not exactly one input key, got ['question', 'documents'].
Traceback:
File "c:\users\aviparna.biswas\appdata\local\programs\python\python37\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 565, in _run_script
    exec(code, module.__dict__)
File "D:\Python Projects\POC\Radium\Ana\app.py", line 49, in <module>
    answer = question_chain.run(formatted_prompt)
File "c:\users\aviparna.biswas\appdata\local\programs\python\python37\lib\site-packages\langchain\chains\base.py", line 106, in run
    f"`run` not supported when there is not exactly one input key, got ['question', 'documents']."

我的代码如下。

import os
from apikey import apikey

import streamlit as st
from langchain.llms import OpenAI
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain, SequentialChain
#from langchain.memory import ConversationBufferMemory
from docx import Document

os.environ['OPENAI_API_KEY'] = apikey

# App framework
st.title('???????? Colab Ana Answering Bot..')
prompt = st.text_input('Plug in your question here')


# Upload multiple documents
uploaded_files = st.file_uploader("Choose your documents (docx files)", accept_multiple_files=True, type=['docx'])
document_text = ""

# Read and combine Word documents
def read_docx(file):
    doc = Document(file)
    full_text = []
    for paragraph in doc.paragraphs:
        full_text.append(paragraph.text)
    return '\n'.join(full_text)

for file in uploaded_files:
    document_text += read_docx(file) + "\n\n"

with st.expander('Contextual Prompt'):
    st.write(document_text)

# Prompt template
question_template = PromptTemplate(
    input_variables=['question', 'documents'],
    template='Given the following documents: {documents}. Answer the question: {question}'
)

# Llms
llm = OpenAI(temperature=0.9)
question_chain = LLMChain(llm=llm, prompt=question_template, verbose=True, output_key='answer')

# Show answer if there's a prompt and documents are uploaded
if prompt and document_text:
    formatted_prompt = question_template.format(question=prompt, documents=document_text)
    answer = question_chain.run(formatted_prompt)
    st.write(answer['answer'])

我已经阅读了文档，但即使如此我也遇到了同样的错误。我已经看过 langchain 采取多个提示的演示。

对于具有多个输入的提示，请使用predict()代替run()，或者直接调用链。 （注：需要Python 3.8+）

prompt_template = "Tell me a {adjective} joke and make it include a {profession}"
llm_chain = LLMChain(
    llm=OpenAI(temperature=0.5),
    prompt=PromptTemplate.from_template(prompt_template)
)

# Option 1
llm_chain(inputs={"adjective": "corny", "profession": "plumber"})

# Option 2
llm_chain.predict(adjective="corny", profession="plumber")

另请注意，您只需分配PromptTemplate现在你正在实例化LLMChain- 之后你只需传入模板变量 - 在你的情况下，documents and question（而不是像您当前那样传递格式化模板）。