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my-project-public — gitlawb

#1	---
#2	title: '⛓️ Chainlit'
#3	description: 'Integrate with Chainlit to create LLM chat apps'
#4	---
#5
#6	In this example, we will learn how to use Chainlit and Embedchain together.
#7
#8	![chainlit-demo](https://github.com/embedchain/embedchain/assets/73601258/d6635624-5cdb-485b-bfbd-3b7c8f18bfff)
#9
#10	## Setup
#11
#12	First, install the required packages:
#13
#14	```bash
#15	pip install embedchain chainlit
#16	```
#17
#18	## Create a Chainlit app
#19
#20	Create a new file called `app.py` and add the following code:
#21
#22	```python
#23	import chainlit as cl
#24	from embedchain import App
#25
#26	import os
#27
#28	os.environ["OPENAI_API_KEY"] = "sk-xxx"
#29
#30	@cl.on_chat_start
#31	async def on_chat_start():
#32	app = App.from_config(config={
#33	'app': {
#34	'config': {
#35	'name': 'chainlit-app'
#36	}
#37	},
#38	'llm': {
#39	'config': {
#40	'stream': True,
#41	}
#42	}
#43	})
#44	# import your data here
#45	app.add("https://www.forbes.com/profile/elon-musk/")
#46	app.collect_metrics = False
#47	cl.user_session.set("app", app)
#48
#49
#50	@cl.on_message
#51	async def on_message(message: cl.Message):
#52	app = cl.user_session.get("app")
#53	msg = cl.Message(content="")
#54	for chunk in await cl.make_async(app.chat)(message.content):
#55	await msg.stream_token(chunk)
#56
#57	await msg.send()
#58	```
#59
#60	## Run the app
#61
#62	```
#63	chainlit run app.py
#64	```
#65
#66	## Try it out
#67
#68	Open the app in your browser and start chatting with it!
#69

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