Update app.py
Browse files
app.py
CHANGED
@@ -4,42 +4,71 @@
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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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# 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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#
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"temperature": 0.7, # higher value increases output diveresity/randomness
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"max_tokens": 500, # maximum length of output response
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"top_p": 1, # choose only the top x% of possible words to return
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"frequency_penalty": 0, # higher value will result in the model being more conservative in its use of repeated tokens.
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"presence_penalty": 0, # higher value will result in the model being more likely to generate tokens that have not yet been included in the generated text
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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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def start_chat():
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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: str):
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msg = cl.Message(content="")
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async for stream_resp in await openai.ChatCompletion.acreate(
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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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await msg.send()
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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 Select, Switch, Slider #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: str):
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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),
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)
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],
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inputs = {"input" : message},
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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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