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Merge pull request #123 from holoviz-topics/langchain_lcel
Add example for Langchain LCEL
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""" | ||
Demonstrates how to use the `ChatInterface` to create a chatbot using | ||
[LangChain Expression Language](https://python.langchain.com/docs/expression_language/) (LCEL). | ||
""" | ||
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import panel as pn | ||
from langchain_core.output_parsers import StrOutputParser | ||
from langchain_core.prompts import ChatPromptTemplate | ||
from langchain_core.runnables import RunnablePassthrough | ||
from langchain_openai import ChatOpenAI | ||
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pn.extension() | ||
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async def callback(contents, user, instance): | ||
message = "" | ||
async for token in chain.astream(contents): | ||
message += token | ||
yield message | ||
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prompt = ChatPromptTemplate.from_template("Tell me a top-notch joke about {topic}") | ||
model = ChatOpenAI(model="gpt-3.5-turbo") | ||
output_parser = StrOutputParser() | ||
chain = {"topic": RunnablePassthrough()} | prompt | model | output_parser | ||
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chat_interface = pn.chat.ChatInterface( | ||
pn.chat.ChatMessage( | ||
"Offer a topic and ChatGPT will respond with a joke!", user="System" | ||
), | ||
callback=callback, | ||
callback_user="ChatGPT", | ||
) | ||
chat_interface.servable() |
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@@ -99,6 +99,7 @@ dependencies = [ | |
"tabulate", | ||
"tiktoken", | ||
"mistralai", | ||
"langchain-openai", | ||
] | ||
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[project.urls] | ||
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