更行

app.py

@@ -3,8 +3,9 @@ import os
 
 from langchain.chains.question_answering import load_qa_chain
 from langchain.document_loaders import UnstructuredURLLoader
-from langchain import HuggingFaceHub
+# from langchain import HuggingFaceHub
 import openai
+from langchain from OpenAI
 
 # os.environ["HUGGINGFACEHUB_API_TOKEN"] = "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"
 
@@ -15,16 +16,10 @@ import openai
 # os.environ["LANGCHAIN_API_KEY"] = "ls__ae9b316f4ee9475b84f66c616344d713"
 # os.environ["LANGCHAIN_PROJECT"] = "Sequential-Chain"
 
-openai.api_key = 'sk-siyoMOttFuCrzfdETrRFS7bz140Dk5DUklCIW3UyVTzooiKj'
-openai.api_base = 'https://api.chatanywhere.com.cn'
+os.environ["OPENAI_API_KEY"] = 'sk-siyoMOttFuCrzfdETrRFS7bz140Dk5DUklCIW3UyVTzooiKj'
+os.environ['OPENAI_API_BASE'] = 'https://api.chatanywhere.com.cn'
 
-llm = openai.Completion.create(
-        engine="text-davinci-003",  # 使用 GPT-3.5 Turbo 引擎
-        max_tokens=50,  # 设置生成的回复最大长度
-        temperature=0.7,  # 控制生成回复的随机性
-        n=1,  # 生成一个回复
-        stop=None,  # 可选的停止标记，用于结束回复的生成
-    )
+llm=OpenAI(temperature=0.7, model_name="gpt-3.5-turbo", max_tokens=1024)
 
 def main():
 

requirements.txt

@@ -1,5 +1,4 @@
 langchain
 huggingface_hub
 unstructured
-gradio
-openai
+gradio