added dockerfile
Browse files- .chainlit/config.toml +84 -0
- Dockerfile +4 -9
- app.py +79 -0
- chainlit.md +3 -0
- requirements.txt +2 -0
.chainlit/config.toml
ADDED
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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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# Process and display HTML in messages. This can be a security risk (see https://stackoverflow.com/questions/19603097/why-is-it-dangerous-to-render-user-generated-html-or-javascript)
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unsafe_allow_html = false
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# Process and display mathematical expressions. This can clash with "$" characters in messages.
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latex = false
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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 = "0.7.700"
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Dockerfile
CHANGED
@@ -1,11 +1,6 @@
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FROM python:3.9
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-
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PATH=/home/user/.local/bin:$PATH
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WORKDIR $HOME/app
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COPY --chown=user . $HOME/app
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COPY ./requirements.txt ~/app/requirements.txt
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RUN pip install -r requirements.txt
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COPY . .
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CMD ["
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FROM python:3.9
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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COPY . .
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CMD ["unicorn", "app.main:app", "--host", "o.0.0.0", "--port", "7860"]
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app.py
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# You can find this code for Chainlit python streaming here (https://docs.chainlit.io/concepts/streaming/python)
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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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"""
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user_template = """{input}
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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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"temperature": 0,
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"max_tokens": 500,
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"top_p": 1,
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"frequency_penalty": 0,
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"presence_penalty": 0,
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}
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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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provider=ChatOpenAI.id,
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messages=[
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PromptMessage(
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role="system",
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template=system_template,
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formatted=system_template,
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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.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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msg = cl.Message(content="")
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# Call OpenAI
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async for stream_resp in await openai.ChatCompletion.acreate(
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messages=[m.to_openai() for m in prompt.messages], stream=True, **settings
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):
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token = stream_resp.choices[0]["delta"].get("content", "")
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await msg.stream_token(token)
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# Update the prompt object with the completion
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prompt.completion = msg.content
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msg.prompt = prompt
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# Send and close the message stream
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await msg.send()
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chainlit.md
ADDED
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# Beyond ChatGPT
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This Chainlit app was created following instructions from [this repository!](https://github.com/AI-Maker-Space/Beyond-ChatGPT)
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requirements.txt
ADDED
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chainlit
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openai==0.28
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