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fix langchain, openai examples (#4961)

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Abubakar Abid 2023-07-18 15:54:15 -04:00 committed by GitHub
parent 5dba3b2217
commit 3222688f7a
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1 changed files with 3 additions and 3 deletions
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guides/04_chatbots/01_creating-a-chatbot-fast.md
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@ -145,7 +145,7 @@ from langchain.schema import AIMessage, HumanMessage
import openai
import gradio as gr
openai.api_key = os.getenv("OPENAI_API_KEY")
os.envrion["OPENAI_API_KEY"] = "sk-..." # Replace with your key
llm = ChatOpenAI(temperature=1.0, model='gpt-3.5-turbo-0613')
@ -155,7 +155,7 @@ def predict(message, history):
history_langchain_format.append(HumanMessage(content=human))
history_langchain_format.append(AIMessage(content=ai))
history_langchain_format.append(HumanMessage(content=message))
gpt_response = chat(history_langchain_format)
gpt_response = llm(history_langchain_format)
return gpt_response.content
gr.ChatInterface(predict).launch()
@ -170,7 +170,7 @@ Of course, we could also use the `openai` library directy. Here a similar exampl
import openai
import gradio as gr
openai.api_key = os.getenv("OPENAI_API_KEY")
openai.api_key = "sk-..." # Replace with your key
def predict(message, history):
history_openai_format = []