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Updating Chainlit Message Reference
Browse files- .chainlit/config.toml +78 -0
- app.py +19 -14
.chainlit/config.toml
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[project]
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# Whether to enable telemetry (default: true). No personal data is collected.
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enable_telemetry = true
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# List of environment variables to be provided by each user to use the app.
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user_env = []
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# Duration (in seconds) during which the session is saved when the connection is lost
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session_timeout = 3600
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# Enable third parties caching (e.g LangChain cache)
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cache = false
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# Follow symlink for asset mount (see https://github.com/Chainlit/chainlit/issues/317)
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# follow_symlink = false
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[features]
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# Show the prompt playground
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prompt_playground = true
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# Authorize users to upload files with messages
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multi_modal = true
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# Allows user to use speech to text
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[features.speech_to_text]
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enabled = false
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# See all languages here https://github.com/JamesBrill/react-speech-recognition/blob/HEAD/docs/API.md#language-string
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# language = "en-US"
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[UI]
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# Name of the app and chatbot.
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name = "Chatbot"
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# Show the readme while the conversation is empty.
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show_readme_as_default = true
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# Description of the app and chatbot. This is used for HTML tags.
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# description = ""
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# Large size content are by default collapsed for a cleaner ui
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default_collapse_content = true
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# The default value for the expand messages settings.
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default_expand_messages = false
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# Hide the chain of thought details from the user in the UI.
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hide_cot = false
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# Link to your github repo. This will add a github button in the UI's header.
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# github = ""
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# Specify a CSS file that can be used to customize the user interface.
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# The CSS file can be served from the public directory or via an external link.
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# custom_css = "/public/test.css"
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# Override default MUI light theme. (Check theme.ts)
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[UI.theme.light]
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#background = "#FAFAFA"
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#paper = "#FFFFFF"
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[UI.theme.light.primary]
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#main = "#F80061"
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#dark = "#980039"
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#light = "#FFE7EB"
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# Override default MUI dark theme. (Check theme.ts)
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[UI.theme.dark]
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#background = "#FAFAFA"
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#paper = "#FFFFFF"
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[UI.theme.dark.primary]
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#main = "#F80061"
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#dark = "#980039"
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#light = "#FFE7EB"
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[meta]
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generated_by = "0.7.400"
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app.py
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@@ -2,14 +2,18 @@
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# OpenAI Chat completion
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import openai
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import chainlit as cl
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from chainlit.input_widget import
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# You only need the api key inserted here if it's not in your .env file
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#openai.api_key = "YOUR_API_KEY"
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# ChatOpenAI Templates
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system_template = """You are a helpful assistant who always speaks in a pleasant tone!
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Think through your response step by step.
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"""
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-
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async def start_chat():
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settings = {
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"model": "gpt-3.5-turbo",
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cl.user_session.set("settings", settings)
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@cl.on_message # marks a function that should be run each time the chatbot receives a message from a user
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async def main(message):
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settings = cl.user_session.get("settings")
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prompt = Prompt(
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),
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PromptMessage(
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role="user",
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template=user_template,
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formatted=user_template.format(input=message),
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)
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],
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inputs
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settings=settings
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)
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print([m.to_openai() for m in prompt.messages])
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# OpenAI Chat completion
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import openai # importing openai for API usage
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import chainlit as cl # importing chainlit for our app
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from chainlit.input_widget import (
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Select,
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Switch,
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Slider,
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) # importing chainlit settings selection tools
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from chainlit.prompt import Prompt, PromptMessage # importing prompt tools
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from chainlit.playground.providers import ChatOpenAI # importing ChatOpenAI tools
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# You only need the api key inserted here if it's not in your .env file
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# openai.api_key = "YOUR_API_KEY"
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# ChatOpenAI Templates
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system_template = """You are a helpful assistant who always speaks in a pleasant tone!
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Think through your response step by step.
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"""
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@cl.on_chat_start # marks a function that will be executed at the start of a user session
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async def start_chat():
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settings = {
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"model": "gpt-3.5-turbo",
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cl.user_session.set("settings", settings)
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@cl.on_message # marks a function that should be run each time the chatbot receives a message from a user
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async def main(message):
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settings = cl.user_session.get("settings")
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prompt = Prompt(
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PromptMessage(
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role="user",
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template=user_template,
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formatted=user_template.format(input=message.content),
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),
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],
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inputs={"input": message.content},
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settings=settings,
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)
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print([m.to_openai() for m in prompt.messages])
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